(6043,'2023-08-30 13:48:15',39,'name---->李宏毅(字串長度:9)---->TBD-39(字串長度:6)```name2---->Hung-yi Lee(字串長度:11)---->(字串長度:0)```talk_title---->Towards a Speech Version of ChatGPT(字串長度:35)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->National Taiwan University (NTU)(字串長度:32)---->(字串長度:0)```position---->Associate Professor, Department of Electrical Engineering(字串長度:57)---->(字串長度:0)```desc---->Over the past few months, the capabilities of large language models (LLM) like ChatGPT have sparked widespread discussion. They possess a general processing ability, and they can often accomplish the desired tasks with the right instructions. Speech, teeming with rich and hierarchical information, offers different needs for diverse tasks. How far are we from the speech version of ChatGPT? What are we still missing for the birth of the speech ChatGPT? In this talk, I will share a series of the latest research findings in speech LM that could potentially lead us to the speech version of ChatGPT and discuss current challenges and potential solutions.(字串長度:655)---->(字串長度:0)```me_desc---->Hung-yi Lee (李宏毅) is a professor of the Department of Electrical Engineering of National Taiwan University (NTU), with a joint appointment at the Department of Computer Science & Information Engineering of the university. His recent research focuses on developing technology that can reduce the requirement of annotated data for speech processing and natural language processing. He won Salesforce Research Deep Learning Grant in 2019, AWS ML Research Award in 2020, Outstanding Young Engineer Award from The Chinese Institute of Electrical Engineering in 2018, Young Scholar Innovation Award from Foundation for the Advancement of Outstanding Scholarship in 2019, Ta-You Wu Memorial Award from Ministry of Science and Technology of Taiwan in 2019, and The 59th Ten Outstanding Young Person Award in Science and Technology Research & Development of Taiwan. He owns a YouTube channel teaching deep learning in Mandarin with about 160k Subscribers.(字串長度:952)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報39(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6044,'2023-08-30 13:48:15',40,'name---->楊佳玲(字串長度:9)---->TBD-40(字串長度:6)```name2---->Chia-Lin Yang(字串長度:13)---->(字串長度:0)```talk_title---->Memory-centric Design in the AI Era(字串長度:35)---->(字串長度:0)```company---->National Taiwan University (NTU)(字串長度:32)---->(字串長度:0)```position---->Dept. of Computer Science and Information Engineering, Professor(字串長度:64)---->(字串長度:0)```me_desc---->▍現職 國家科學及技術委員會　科技辦公室　副執行秘書 國立臺灣大學資訊工程學系　教授  ▍經歷 台達臺大聯合研發中心　主任 國立臺灣大學　資訊網路與多媒體研究所　所長 國立臺灣大學　資訊工程學系　助理教授、副教授  ▍學歷 杜克大學計算機科學　博士 德州大學奧斯汀計算機科學　碩士 臺灣師範大學資訊教育系　學士(字串長度:441)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報40(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6045,'2023-08-30 13:48:15',41,'name---->陳佩君(字串長度:9)---->TBD-41(字串長度:6)```name2---->Trista Chen(字串長度:11)---->(字串長度:0)```company---->Microsoft Taiwan(字串長度:16)---->(字串長度:0)```position---->Director, AI Research Center(字串長度:28)---->(字串長度:0)```me_desc---->Trista is an AI scientist and tech executive. As the Director of the AI Research Center at Microsoft, her research focuses on computer vision, multimodal large language models, and health AI. Trista has published over 30 top-tier journals and conference publications and holds/filed 110 patents. Her research is internationally recognized, including winning the world championship in the USAID Intelligent Forecasting Competition for advancing the health of people in the Ivory Coast and receiving the CVPR workshop best paper award. Prior to joining Microsoft, Trista held leadership positions at Inventec, Intel, and Nvidia and successfully led two startups from incubation to acquisition. As the Chief AI Officer at Inventec, she led the team to obtain one of Taiwan’s first ISO-13485-based QMS for a novel AI Software as a Medical Device (SaMD) based on her original medical research. She also helped Inventec develop the industry’s first computer vision inspection system and innovate its supply chain with USAID world championship technology. At Intel, Trista facilitated the development of OpenCV - the world’s most widely adopted computer vision software with over 18 million downloads as of 2021. At Nvidia, she architected Nvidia\'s first video processor. Trista holds a Ph.D. from Carnegie Mellon University and an M.S. and B.S. from National Tsing-Hua University.(字串長度:1380)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報41(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6046,'2023-08-30 13:48:15',42,'name---->簡宏偉(字串長度:9)---->TBD-42(字串長度:6)```name2---->Howard Jyan(字串長度:11)---->(字串長度:0)```talk_title---->Establish of Trustworthy AI: Opportunities and Challengs(字串長度:56)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Deloitte & Touche(字串長度:17)---->(字串長度:0)```position---->Partner, Risk Advisory(字串長度:22)---->(字串長度:0)```me_desc---->Howard Jyan is the Partner of Risk Advisory Services at Deloitte. He specialized in Cyber security, network security, ISMS audits, regulation of cyber security, information security governance, workflow transformation, and organizational transformation. He also has extensive experience in public sector information practices and cross-agency coordination. (字串長度:357)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報42(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6047,'2023-08-30 13:48:15',43,'name---->劉嘉凱(字串長度:9)---->TBD-43(字串長度:6)```name2---->Chia-Kai Liu(字串長度:12)---->(字串長度:0)```talk_title---->Building Trustworthy Digital Twins of Organizations: A Process-Oriented Experiment(字串長度:82)---->(字串長度:0)```company---->DSP, Inc.(字串長度:9)---->(字串長度:0)```position---->CEO(字串長度:3)---->(字串長度:0)```desc---->Digital twins of organizations (DTOs) can be used to model, simulate, and analyze various scenarios, enabling organizations to identify bottlenecks, inefficiencies, and opportunities for improvement. However, building trustworthy DTOs is challenging, as they must be reliable, robust, fair, ethical, transparent, and explainable.   This presentation will discuss the challenges and opportunities of building trustworthy DTOs. We will present the early results of a life-critical use case experiment, in which we created a digital twin prototype, with the objectives of being not only accurate but also dependable. We will discuss how this innovation can be used to transforms decision-making, risk assessment, and predictive modeling in crucial contexts. (字串長度:755)---->(字串長度:0)```me_desc---->Chia-Kai Liu is the CEO of DSP, Inc.,  a consulting firm specializing in leveraging artificial intelligence to transform business and public sector operations. He is also the co-founder of Data for Social Good, a philanthropic platform fostering collaboration among governmental bodies, non-profits, and data experts to accelerate social innovation. Mr. Liu is a strong advocate for data-driven decision-making, advancing the cause of sustainable development objectives.(字串長度:470)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報43(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6048,'2023-08-30 13:48:15',47,'name---->趙佑錫(字串長度:9)---->TBD-47(字串長度:6)```name2---->Erick Chao(字串長度:10)---->(字串長度:0)```talk_title---->The Evolution of AI in Chip Design(字串長度:34)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Cadence Design Systems(字串長度:22)---->(字串長度:0)```position---->Sr Software Architect (字串長度:22)---->(字串長度:0)```company2---->ML INFRA(字串長度:8)---->(字串長度:0)```me_desc---->With 23 years of extensive experience in IC design, implementation, and EDA development, I have a profound understanding of user requirements and software development in Electronic Design Automation (EDA). My journey in AI/ML began with graduation from the 1st Hsinchu manager class at Taiwan AI Academy (AIA). At the same time, I assumed a role as a ML architect within a top number 1 IC fabless company in Taiwan. Transitioning to Cadence Design Systems, I took the role of leading RD team in both Hsinchu and Shanghai. My perspective is all-encompassing, spanning from that of an adept end-user to that of a contributor to EDA solution development empowered by AI/ML technologies. At present, I am entrusted with the leadership of one of Cerebrus RD teams, a division responsible for the AI-driven production within Cadence Design Systems.(字串長度:842)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報47(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6049,'2023-08-30 13:48:15',48,'name---->唐文力(字串長度:9)---->TBD-48(字串長度:6)```name2---->Luba Tang(字串長度:9)---->(字串長度:0)```talk_title---->Neural-network Processing Unit Hardware-software Co-design IP (字串長度:62)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Skymizer(字串長度:8)---->(字串長度:0)```position---->CEO(字串長度:3)---->(字串長度:0)```desc---->Large language models (LLMs) have become an increasingly prominent feature in various computing platforms, such as data centers, smartphones, and microcontrollers. As such, their potential applications in both human-to-machine interfaces (HMIs) and machine-to-machine interfaces (M2MI) have been extensively studied and discussed. However, implementing hyper-scale LLMs on heterogeneous multicore System-on-Chips (SoCs) poses significant challenges. In this talk, we will discuss the key challenges, including issues related to hardware/software interfaces, verification, and SoC architecture exploration. At the end of this talk, we will propose a practical workflow and corresponding solutions we’ve applied in many cases. And see how our standard tool - ONNC - is used in the workflow.  大型語言模型（LLM）已成為各種計算平台（例如資料中心、智慧型手機和微控制器）中日益突出的功能。因此，它們在人機介面（HMI）和機器對機器介面（M2MI）中的潛在應用已被廣泛研究和討論。然而，在異質多核晶片上系統（SoC）上實現大型語言模型（LLM）面臨著重大挑戰。在本次演講中，我們將討論關鍵挑戰，包括與硬體/軟體介面、驗證和SoC架構探索相關的問題。在本次演講的最後，我們將提出一個實用的架構以及我們在許多案例中應用的解決方案。並了解我們的標準工具 - ONNC - 如何在架構中使用。(字串長度:1467)---->(字串長度:0)```me_desc---->Luba Tang is the founder and CEO of Skymizer Taiwan Inc., which is in the business of providing system software to IC design teams. Skymizer’s system software solutions enable AI-on-Chip design houses to automate AI application development, improve system performance, and optimize inference accuracy. Luba Tang’s research interests include electronic system level (ESL) design, system software, and neural networks. He had focused on iterative compilers, ahead-of-time compilers, link-time optimization, neural network compilation, and neural network optimization. His most recent work focuses on exploiting various types of parallelism from different accelerators in a hyper-scale system-on-chip. (字串長度:703)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報48(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6050,'2023-08-30 13:48:15',49,'name---->邱銘彰(字串長度:9)---->TBD-49(字串長度:6)```name2---->Jeremy Chiu(字串長度:11)---->(字串長度:0)```talk_title---->Unleashing the Cyber Magic: The Future of Blue Team Defense\r(字串長度:60)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->CyCraft(字串長度:7)---->(字串長度:0)```position---->Founder(字串長度:7)---->(字串長度:0)```desc---->As a blue team on the defense side, we approach cybersecurity with different perspectives compared to the red team. Our considerations go beyond accuracy in handling large-scale data; we also prioritize compliance with government cybersecurity regulations, response time, and cost-effectiveness. Throughout our journey, our team has extensively researched using Machine Learning automation in the investigation of large-scale cybersecurity incidents. We have integrated AI into various analytical aspects, from endpoint event correlation and Cmdline analysis using CmdGPT to an AI virtual analyst that automatically generates forensic reports.  Starting last year, we introduced a new generation of large-scale language models into our blue team AI assistant, enabling automated cybersecurity incident handling and case management. In this presentation, we will share our practical experiences and exclusive insights on how cybersecurity teams can leverage AI effectively, along with showcasing real-life case studies.  作為防禦方的藍隊有許多與紅隊切入角度不同的思維，不但需要考慮到大規模資料量下的準確度，為了符合政府的資安規範，也更加注重反應時間與成本。一直以來，我們團隊對於大規模的資安事件，在調查中使用 Machine learning 自動化方法做了許多研究，將 AI 導入到各個分析面向，從端點事件關聯、分析 Cmdline 的 CmdGPT，以及 AI 虛擬分析師自動產生鑑識報告，而到去年開始，我們為藍隊 AI 助手導入了新一代的大型語言模型，以進行自動資安事件處理與自動案件管理。這場演講中，將透過我們的實務經驗，獨家分享資安團隊該如何正確使用 AI，並分享實際的案例。(字串長度:1771)---->(字串長度:0)```me_desc---->Founder of CyCraft, with over 15 years of expertise in cybersecurity research, actively engaged in Taiwan\'s cybersecurity technology community. Specializing in developing automated analysis systems, hacker activity analysis, malicious program analysis, and machine learning algorithms. Has presented professional cybersecurity research at various internationally renowned conferences such as Black Hat, DEFCON, SyScan, HITCON, FIRST, AVTokyo, HTICA, OWASP Asia, and iThome CYBERSEC. Proficient in delivering humorous and lively speeches to impart cybersecurity knowledge.  As a prominent serial entrepreneur in Taiwan\'s cybersecurity industry, co-founded the first startup dedicated to developing APT defense products in 2011 with Wu Ming-wei (Benson). In 2014, the company received recognition and acquisition from an Israeli cybersecurity company listed on the NASDAQ. Currently, the CyCraft team focuses on the integration of artificial intelligence and cybersecurity technology.  CyCraft 創辦人，超過 15 年的資安技術研究專家，活耀於台灣的資安技術社群，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司，並在 2014 年受到美國 NASDAQ 的以色列資安公司肯定與併購。目前創辦的 CyCraft 團隊則專注在人工智慧與資安科技領域的結合上。(字串長度:1761)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報49(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6051,'2023-08-30 13:48:15',50,'name---->黃俊穎(字串長度:9)---->TBD-50(字串長度:6)```name2---->Chun-Ying Huang(字串長度:15)---->(字串長度:0)```talk_title---->Generative AI: Challenges and Opportunities for System Security(字串長度:63)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->National Yang Ming Chiao Tung University(字串長度:40)---->(字串長度:0)```position---->Institute of Network Engineering / Director(字串長度:43)---->(字串長度:0)```desc---->In recent years, generative AI technology has shown impressive performance in various fields such as images, videos, speech, and text. With the maturation of these technologies, many industries have begun adopting generative AI techniques to reduce the human resource costs required for technical development. This includes tasks related to software development and security analysis. In this presentation, we will introduce how generative AI technology is utilized to assist in applications related to software development and security analysis. We will also discuss the risks and challenges that may arise from the integration of AI. 近年來生成式AI技術在影像、視訊、語音、文字等領域都有讓人驚豔的表現。而隨著技術發展的成熟，許多產業也開始導入生成式AI的技術，以降低技術開發所需的人力成本，這也包括軟體開發和安全分析相關工作。在這個分享裡，我們將介紹軟體開發和軟體安全分析相關應用如何運用AI技術進行輔助，以及導入AI可能會遇到的風險和挑戰。(字串長度:1085)---->(字串長度:0)```me_desc---->Dr. Chun-Ying Huang is a Professor at the Department of Computer Science, National Yang Ming Chiao Tung University (NYCU). Dr. Huang\'s research interests fall in the areas of system security and multimedia networking. He also served as PIs or co-PIs of several teaching, research, and industrial projects in network and system security areas, including the information security incubation program (ISIP and AIS3) from the Ministry of Education (MoE) and Taiwan information security center program (TWISC) at NYCU from the Ministry of Science and Technology (MOST). Dr. Huang received ACM Taipei/Taiwan Chapter K. T. Li Young Researcher Award in 2014, MOST Excellent Young Scholar Grants in 2021, and NCTU/NYCU excellent teaching awards in 2020 and 2021. He currently serves as the Director of the Institute of Network Engineering at National Yang Ming Chiao Tung University.(字串長度:874)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報50(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6052,'2023-08-30 13:48:15',53,'name---->李彥樞(字串長度:9)---->TBD-53(字串長度:6)```name2---->YAN LEE(字串長度:7)---->(字串長度:0)```talk_title---->Investment Trends in Generative AI(字串長度:34)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->HIVE VENTURES(字串長度:13)---->(字串長度:0)```position---->Founder and Managing Partner(字串長度:28)---->(字串長度:0)```me_desc---->Yan Lee is the Founder and Managing Partner at Hive Ventures - a Taiwan-focused global seed to early stage venture capital firm, with a focus on artificial intelligence (AI) and Internet of Things (IoT) and its applications. He brings his strong past experience as an entrepreneur in the fields of Big Data and AI to offer strategic support to Hive Ventures’ portfolio companies. Yan is a passionate venture builder and aims to support top talents in Taiwan to foster its next wave of unicorn technopreneurs.  Yan was the Founder and CEO of Buzzinate, a leading Big Data platform and service provider in China that merged with iClick in 2014. He played a central role in Buzzinate’s success, which led him to be included in Forbes’ “30 under 30 Entrepreneurs of China\'\' in 2012 as well as Campaign Asia’s “40 under 40” in 2018. Yan went on to become the Chief Product Officer and Head of International Business of iClick Interactive (Nasdaq: ICLK), where he spearheaded product innovations and drove business growth globally.  Yan holds an MBA from the China Europe International Business School (CEIBS) in Shanghai. He is also an alumnus of the London Business School (LBS) and National Chengchi University (NCCU) in Taiwan.(字串長度:1239)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報53(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6053,'2023-08-30 13:48:15',54,'name---->張榮貴(字串長度:9)---->TBD-54(字串長度:6)```name2---->James Chang(字串長度:11)---->(字串長度:0)```talk_title---->Redefining Customer Service in the Generative AI Era(字串長度:52)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->AI3 Co.(字串長度:7)---->(字串長度:0)```position---->Chaiman(字串長度:7)---->(字串長度:0)```desc---->數位轉型下的客戶服務 Digital Transformation and Its Impact on Customer Service  整合GPT的智能機器人 Chatbot Empowered by GPT Integration  對話式知識管理是最佳服務助理 Conversational KM is the Best Service Assistant(字串長度:246)---->(字串長度:0)```me_desc---->30幾年軟體開發經驗、30年CTI/CRM技術整合應用發展實務經驗，主要成就有CRM、Contact Center產品開發、電話服務中心系統整合開發、AI服務機器人開發、輿情分析系統、服務大數據分析…等。專精於CRM服務流程與服務架構之資訊技術整合，為企業服務提出完整智慧服務流程與資訊架構。\r     近年專注於大數據與人工智慧技術，應用於CRM與客戶服務領域，發展自然語言處理技術(NLP)，開發AI服務機器人、輿情分析系統、服務數據分析、對話式商務、法遵系統…等智慧應用。2017年至今擔任中華軟協AI大數據智慧應用促進會會長，推動產業AI智慧應用發展，促使產業AI化、AI產業化。2022年擔任中華軟協元宇宙發展促進會，持續推動新興科技與產業融合，發展新應用。(字串長度:872)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報54(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6054,'2023-08-30 13:48:15',55,'name---->何建幟(字串長度:9)---->TBD-55(字串長度:6)```name2---->Ernie Ho(字串長度:8)---->(字串長度:0)```talk_title---->The Rise of AI Agents: A Virtual Workforce Available 24/7(字串長度:57)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->HelperAI & Chainsight(字串長度:21)---->(字串長度:0)```position---->Cofounder & CEO(字串長度:15)---->(字串長度:0)```me_desc---->Ernie Ho, an alumnus of Carnegie Mellon University and MIT, is the co-founder and CEO of HelperAI & Chainsight, with a focus on AI applications and innovation. He formerly worked as an AI engineer at Uber’s Self-Driving Center. In 2020, he cofounded Chainsight, an AI-powered platform for blockchain transaction risk analysis, which has been recognized by G20, BIS, governments of US-Japan-Singapore, and Trend Micro. In 2022, he established HelperAI, creating AI agents for major corporations - an 24/7 virtual team that automates customer service and sales processes to boost business productivity. His firm has been invested by Y Combinator, Franklin Templeton, and Samsung.  何建幟（Ernie Ho），美國卡內基美隆大學及麻省理工學院校友，HelperAI & Chainsight共同創辦人兼CEO，專注於AI應用與創新，曾任職Uber自動駕駛中心。2020年成立Chainsight，利用AI模型打造區塊鏈交易風險分析平台，榮獲G20、國際清算銀行、美日星政府與趨勢科技等認證。2022年成立HelperAI，為多家大型企業打造AI代理人 - 全年無休的虛擬團隊，自動化客服與銷售流程，加速提升企業生產力，目前已獲矽谷頂尖加速器Y Combinator、美國富蘭克林、三星集團等國際知名機構投資。(字串長度:1298)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報55(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6055,'2023-08-30 13:48:15',56,'name---->郭昶甫(字串長度:9)---->TBD-56(字串長度:6)```name2---->Kuo,Chang-Fu(字串長度:12)---->(字串長度:0)```talk_title---->The Role of Artificial Intelligence in Clinical Decision-making(字串長度:63)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Chang Gung Memorial Hospital, Linkou(字串長度:36)---->(字串長度:0)```position---->Center for Artificial Intelligence in Medicine,Director(字串長度:55)---->(字串長度:0)```me_desc---->Dr. Chang-Fu Kuo, a distinguished rheumatologist, and physician-scientist, has been committed to research in rheumatology, epidemiology, genetic epidemiology, and health policy. A previous recipient of the 2019 Ministry of Science and Technology\'s Outstanding Research Award, Dr. Kuo has continuously pursued breakthroughs in healthcare, particularly exploring artificial intelligence applications, bolstered by clinical trials and Taiwan Food and Drug Administration (TFDA) accreditation. Dr. Kuo uses an interdisciplinary approach to address complex clinical and epidemiological issues affecting vast populations. His published research, often referenced in international guidelines, covers wide-ranging aspects of rheumatic diseases. Dr. Kuo\'s research, consistently published in high-impact academic journals, increasingly highlights societal impacts, real-world clinical applications, and potential commercialization. His collaborations with globally recognized research groups further attest to his influence in the field. The University of Nottingham has repeatedly honored him as an \'Honorary Associate Professor\' for his exceptional contributions, and Chang Gung University honored him as Extinguished Alumni.(字串長度:1218)---->(字串長度:0)```talkfile_link---->x(字串長度:1)---->簡報56(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6056,'2023-08-30 13:48:15',57,'name---->張詠淳(字串長度:9)---->TBD-57(字串長度:6)```name2---->Yung-Chun Chang(字串長度:15)---->(字串長度:0)```talk_title---->The Future is Here - Unlocking the Potential of Clinical Data with NLP(字串長度:70)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Graduate Institute of Data Science, Taipei Medical University(字串長度:61)---->(字串長度:0)```position---->Associate Professor(字串長度:19)---->(字串長度:0)```company2---->Office of Data Science, Taipei Medical University(字串長度:49)---->(字串長度:0)```position2---->Deputy Chief Data Officer(字串長度:25)---->(字串長度:0)```desc---->In this talk, we will delve into the remarkable advancements in Natural Language Processing (NLP) and their transformative potential in the realm of clinical data analysis. The field of medical imaging has seen tremendous growth, and one of the key challenges lies in translating radiomics features into actionable insights. Firstly, we will explore a groundbreaking approach that addresses this challenge by automatically generating Lung-RADS reports from low-dose lung CT scans. By leveraging the power of deep learning to construct a multi-objective framework, we have advanced the extraction of essential information to aid in the accurate diagnosis of lung abnormalities. Moving beyond medical imaging, pathology reports play a crucial role in guiding treatment decisions, particularly in lung cancer cases. We will investigate how Generative Pre-trained Transformers (GPT) can extract vital features from pathology reports, enabling the identification of key indicators for effective lung cancer treatment. By harnessing the capabilities of GPT, we unlock a wealth of information buried within textual data, enhancing the precision of personalized therapies.\r \r Moreover, advanced lung cancer requires comprehensive decision support systems. Deep learning-based techniques offer immense potential in this domain by automating the extraction of key features from pathology reports. By integrating these extracted features into a decision support system, we empower clinicians with valuable insights, aiding in the development of tailored treatment plans and ultimately improving patient outcomes. Throughout this presentation, we will witness how NLP, combined with deep learning methodologies, revolutionizes the analysis of clinical data. By bridging the gap between unstructured text and actionable knowledge, we unlock the full potential of clinical data and propel us into an era where diagnoses are more accurate, treatments are more personalized, and patient care is optimized.\r \r Together, let us embark on a journey that demonstrates how NLP is shaping the future of healthcare, forging a path towards a world where the integration of technology and medicine empowers us to extend the potential of clinical data like never before. The future is indeed here, and it is through the fusion of NLP and clinical data that we shall explore its boundless possibilities.(字串長度:2376)---->(字串長度:0)```me_desc---->Dr. Yung-Chun Chang is a renowned expert in the fields of text mining, natural language processing (NLP), and the associated technologies of machine learning and linguistic recognition. He excels in harnessing these technologies to address challenges across diverse domains, with a primary focus on intelligent healthcare, bioinformatics, business intelligence, and language comprehension. In 2016, Dr. Chang received accolades for his exceptional contributions to research, notably the Outstanding Postdoctoral Research Award from Academia Sinica and the Doctoral Dissertation Award from the Computational Linguistics Society. In 2017, he joined the faculty of Taipei Medical University, where he has since published numerous papers in top-tier international journals and conferences, such as ACL and TKDE.    Passionate about pedagogy, Professor Chang has repeatedly been recognized for his teaching excellence, earning both campus-wide Outstanding Teacher and Distinguished New Faculty awards. Furthermore, he is deeply committed to student mentorship and guidance. His students have achieved commendable results in various international competitions. Noteworthy accolades include a first-place finish in the 2023 NTCIR International Information Retrieval Competition, a second-place finish in the 2022 BioCreative International Biomedical Literature Automated Mining Competition, and a gold award at the Taiwan AI EXPO.   張詠淳博士專精於文字探勘與自然語言處理以及相關的機器學習與語言辨識技術，擅長將這些技術應用於解決不同領域的問題，主要研究領域為智慧醫療、生物資訊、商業智慧以及語言理解。張教授在2016年曾榮獲中研院博士後傑出研究獎以及計算語言學會博士論文獎。於2017年至臺北醫學大學從事教職，近年發表多篇國際頂尖期刊與會議論文。張教授熱愛教學，不僅屢獲校級優良教師、新進優良教師等教學獎項，更致力於學生的培育和指導。在多項國際競賽中獲得優異成績，包括2023年NTCIR國際資料檢索競賽第一名、2022年BioCreative國際生醫文獻自動探勘競賽第二名，以及Taiwan AI EXPO大賽金獎等。(字串長度:2216)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報57(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6057,'2023-08-30 13:48:15',60,'name---->林穎俊(字串長度:9)---->TBD-60(字串長度:6)```name2---->LIN YING-CHUN(字串長度:13)---->(字串長度:0)```talk_title---->Being a Better Learner with ChatGPT(字串長度:35)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Jhong Shan Elementary School of Yilan County(字串長度:44)---->(字串長度:0)```position---->Section Chief of Information Technology(字串長度:39)---->(字串長度:0)```desc---->How can students become a better learners through ChatGPT? This presentation outlines the implementation of ChatGPT in primary education to facilitate deepening learning. It delves into the application of six evidence-based learning strategies, each coupled with corresponding prompts 如何透過ChatGPT成為更好的學習者，分享內容在於在小學的教學中使用ChatGPT以促進學生更深度的學習進而到依據Evidence-based learning strategies提出的六個學學策略跟對應的prompts以幫助學生成為更好的學習者(字串長度:550)---->(字串長度:0)```me_desc---->林穎俊擔任宜蘭縣中山國小的教師與資訊組長，對於學習與教學充滿熱情。他熱愛與孩子們互動，認為擔任老師是全世界最具意義且充實的職業。他堅信數位學習能夠有效地培養孩子們的協作、溝通、創意以及批判性思考能力，同時為孩子們提供成功自學的契機。(字串長度:348)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報60(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6058,'2023-08-30 13:48:15',61,'name---->李海碩(字串長度:9)---->TBD-61(字串長度:6)```name2---->Lee Haishuo(字串長度:11)---->(字串長度:0)```talk_title---->Future-Proofing Humanity: Strategies for Thriving in an AI-Dominated Epoch(字串長度:74)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Wagor International School(字串長度:26)---->(字串長度:0)```position---->Superintendent(字串長度:14)---->(字串長度:0)```company2---->1111 AIGC Innovative Academy(字串長度:28)---->(字串長度:0)```position2---->CEO(字串長度:3)---->(字串長度:0)```desc---->In the rapidly advancing age of Artificial Intelligence, esteemed global institutions have underscored the urgent need for reskilling and upskilling. As we find ourselves at the crossroads of technology and tradition, it becomes crucial to identify sustainable avenues for concerted effort and investment. Synthesizing insights from leading research entities, Haishuo will demystify the essential competencies set to define the AI-centric world. Delve deep as Haishuo showcases cutting-edge AI applications in educational landscapes worldwide and articulates spheres where the human touch remains irreplaceable.The presentation strives to offer an integrative exploration of present-day research, forward-looking perspectives, and the age-old human strengths that promise to endure. Come to the talk for a humble presentation of the intertwining destinies of AI and human resilience - an enlightening engagement, offering tools to chart our course in an AI-augmented future.\r \r 在人工智慧急速發展的時代，世界各大知名機構都強調了重新學習和提升技能的迫切需要。當我們處於技術和傳統的交叉路口，確定可永續投入的方向已變得至關重要。綜整全球各研究機構的洞見，海碩將向您稟報AI為中心世界的核心素養，深入探索全球教育風景中的尖端AI應用，並強調人類知能無可取代的領域。此演講旨在提供現今研究、前瞻性視角和人類亙古知能的綜合探索，期能在變動的時代提供永續發展的力量。請蒞臨本次演講，聆聽AI和人類韌性相互交織的命運的淺見，期能拋磚引玉，共同探討引領在AI增強未來道路上可用的工具。\r(字串長度:1701)---->(字串長度:0)```me_desc---->李海碩長期專注在國際教育、語言教育、與科技教育與創新領域。目前擔任葳格國際學校的總校長與1111生成式AI創新學院的執行長，致力推廣AIGC相關應用。他擁有全民英檢和TOEIC的全數滿分，並且是台灣僅有的五位多益官方講師之一。海碩畢業於國立交通大學教育研究所數位學習組，並正就讀於密涅瓦大學的決策分析碩士(MDA)。在國際演講會曾獲九個台灣全國冠軍和一個亞洲區即席演講冠軍的榮銜，並是台灣首開風氣之先的ChatGPT免費線上課程教師，可彰顯其推動創新和人工智慧教育的決心。  With a sustained focus on international, language, and technological education and innovation, Haishuo Lee serves as the Superintendent of Wagor International School and the CEO of 1111 AIGC Innovation Academy. He is devoted to promoting the application of AIGC. A holder of full scores in GEPT and TOEIC, he is also one of the only five TOEIC Propell Trainers in Taiwan. He graduated from the Digital Learning Division, Institute of Education, National Chiao Tung University and is currently pursuing a Master of Decision Analysis at Minerva University. As a member in Toastmasters International, he has clinched nine national championships in Taiwan and one impromptu speech championship in Asia. He pioneered the first-ever free online ChatGPT course in Taiwan, underscoring his commitment to driving innovation and AI education.(字串長度:1488)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報61(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6059,'2023-08-30 13:48:15',62,'name---->巫勇賢(字串長度:9)---->TBD-62(字串長度:6)```name2---->Yung-Hsien Wu(字串長度:13)---->(字串長度:0)```talk_title---->Impact of Generative Artificial Intelligence on Higher Education(字串長度:64)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->National Tsing Hua University(字串長度:29)---->(字串長度:0)```position---->Office of Academic Affairs/Vice President for Academic Affairs(字串長度:62)---->(字串長度:0)```desc---->With the rise of ChatGPT, Generative Artificial Intelligence (Generative AI) has gradually garnered attention from various fields. Many professors both domestically and internationally have attempted to utilize ChatGPT to answer university exam questions and have been pleasantly surprised by the promising results achieved. According to a recent report from EDUCASE, approximately thirty percent of university professors hold a pessimistic attitude towards Artificial Intelligence in General (AIGC), with over half of them being unaware of how students use AI. What impacts might Generative AI have on higher education? What roles could AIGC play in admissions, teaching, and research within higher education, and what potential disruptions might occur?\r(字串長度:755)---->(字串長度:0)```me_desc---->Dr. Wu received the BS degree in electrical engineering from National Tsing Hua University (NTHU) in 1996, and the PhD degree in electronics engineering from National Chiao Tung University (NCTU) in 2000, both in Taiwan. During 2000-2005, he was with ProMOS Technologies (茂德科技, DRAM manufacturers) where he was engaged in advanced process development and earned the individual IP award in 2002 and 2003 for the contribution in patent proposal.  In 2005, he joined NTHU as an Assistant Professor. He was promoted to Associate Professor and Professor in 2009 and 2012 respectively. He received many awards including the “Young Faculty Research Award (新進人員研究獎)”, “Excellent Teaching Award (傑出教學獎)” and “Outstanding Mentor Award (傑出導師獎)” granted by NTHU. In 2015, he was conferred with the title of “NTHU Distinguished Professor (清華特聘教授)” for his outstanding contribution in teaching and mentoring young talents. He was awarded \"Outstanding Young Scholar Research Grant\" twice by National Science and Technology Council (NSTC) in 2012 and 2019 (2次國科會優秀年輕學者計畫). He was also bestowed “Lifetime Achievement Award (國際傑出發明家發明終身成就獎)” by Taiwan International Invention Award Winners Association in 2016. He was the recipient of “Excellent Electrical Engineer Professor Award (中國電機工程學會傑出電機工程教授獎)” in 2021 by Chinese Institute of Electrical Engineering. In addition, he was bestowed “Excellent Project Award (優良計畫獎)” by Atomic Energy Council (原子能委員會) in 2022 and 2023. Currently, he is an IET Fellow (Institution of Engineering and Technology, 國際工程技術學會會士) and IEEE Senior member (Institute of Electrical and Electronics Engineers). He is committed to exploring the boundaries of next-generation ferroelectric memory devices and VLSI technologies by developing novel materials and innovative structures. He has published 65 SCI papers, several prestigious conference papers including IEDM and Symp. VLI Technology in the past 10 years (the 2nd highest-ranked team in Taiwan in terms of publishing papers in renowned IEEE Electron Device Letters). He also holds 42 patents (Taiwan, US, German, Korea, China) and has authored 1 book chapter. Furthermore, the students he mentored have won many national-wide research-based awards including “Technology Scholarship (中技社科技獎學金) ” from China Technical Consultants Inc. (CTCI) Foundation in consecutive 5 years (2018-2022), “Semiconductor Award (台灣半導體產業協會半導體獎)” from Taiwan Semiconductor Industry Association (TSIA) in 2019/2020/2023, “College Student Research Creativity Award (國科會大專學生研究創作獎)” from NSTC in 2019, “TSMC PhD student fellowship (台積電獎學金)” and “Scholarship for Outstanding PhD Students (國科會優秀博士生獎學金)” from NSTC (one of highest student scholarships provided by the government and industry in Taiwan), both in 2020.        In addition, he has held some administrative positions at Office of Academic Affairs in NTHU including Division Chief of Center for Teaching and Learning Development, Director of Chinese Language Center, Director of Center for Continuing Education during 2010-2016. From 2015- 2021, he served as the Chairman of Interdisciplinary Program (undergraduate department) of College of Nuclear Science, Associate Vice President for Student Affairs, Chairman of Department of Engineering and System Science. From 2020-2022, he also served as the Associate Vice President for Academic Affairs. Since 2022, he has been the Vice President for Academic Affairs of NTHU.(字串長度:3749)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報62(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6060,'2023-08-30 13:48:15',63,'name---->林勤富(字串長度:9)---->TBD-63(字串長度:6)```name2---->Ching-Fu Lin(字串長度:12)---->(字串長度:0)```talk_title---->Forms, Substances, and Challenges of the Transparency Principle in Algorithmic Governance (字串長度:90)---->(字串長度:0)```company---->National Tsing Hua University(字串長度:29)---->(字串長度:0)```position---->Professor, Institute of Law for Science and Technology(字串長度:54)---->(字串長度:0)```company2---->National Tsing Hua University(字串長度:29)---->(字串長度:0)```position2---->Director, Interdisciplinary Program of Management and Technology(字串長度:64)---->(字串長度:0)```me_desc---->Ching-Fu Lin is Professor at Institute of Law for Science and Technology and Director of Interdisciplinary Program of Mangement and Technology, National Tsing Hua University (NTHU), where he teaches international law and global governance, law and technology, and artificial intelligence law and policy.  Professor Lin received his LL.M. and S.J.D. from Harvard Law School, with the honor of John Gallup Laylin Memorial Prize and Yong K. Kim Memorial Prize.    He also holds a double degree in law (LL.B.) and chemical engineering (B.S.) from National Taiwan University.  Professor Lin has served as Visiting Researcher at Berkman Klein Center for Internet and Society at Harvard University, Visiting Scholar at the Allens Hub for Technology, Law and Innovation at UNSW Sydney, as well as Visiting Fellow at Graduate Institute of International and Development Studies in Geneva.  In 2019, Professor Lin was appointed to serve on the Board of Trustees of the Academy of Food Law and Policy, United States.  In 2023, he was elected to serve as Vice Chair of the International Law and Technology Interest Group (ILTechIG) of the American Society of International Law.  Active in legal academia, Professor Lin has been invited to talk in many academic/practical settings, and his legal scholarship has appeared in leading journals and edited collections.  Professor Lin has received the Junior Research Award, Outstanding Research Award of Hou De Association, and CTM Research Award from NTHU as well as the Ta-You Memorial Award from Taiwan’s Ministry of Science and Technology. (字串長度:1578)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報63(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6061,'2023-08-30 13:48:16',64,'name---->陳舜伶(字串長度:9)---->TBD-64(字串長度:6)```name2---->Shun-Ling Chen(字串長度:14)---->(字串長度:0)```talk_title---->Government Data Management - Lessons from the US Evidence Act and Beyond(字串長度:72)---->(字串長度:0)```company---->Academia Sinica(字串長度:15)---->(字串長度:0)```position---->Associate Research Professor, Institutum Iurisprudentiae(字串長度:56)---->(字串長度:0)```company2---->Academia Sinica(字串長度:15)---->(字串長度:0)```position2---->Co-director, Information Law Center, Institutum Iurisprudentiae(字串長度:63)---->(字串長度:0)```me_desc---->▍Education & Experiences S.J.D., Harvard Law School (2013) LL.M., Harvard Law School (2005) LL.M., National Taiwan University (2002) LL.B., National Taiwan University (1999)  ▍Research Fields Science and technology studies; Information and society; Online collaborations, Intellectual property; Indigenous peoples\' law and policy, Indigenous rights(字串長度:352)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6062,'2023-08-30 13:48:16',67,'name---->張嘉淵(字串長度:9)---->TBD-67(字串長度:6)```name2---->Ted Chang(字串長度:9)---->(字串長度:0)```talk_title---->Prompting The Future: Transforming Medicine through Generative AI(字串長度:65)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Quanta Computer(字串長度:15)---->(字串長度:0)```position---->CTO(字串長度:3)---->(字串長度:0)```desc---->Medicine, a discipline rooted in centuries of knowledge and practice, is  now at the brink of one of its most transformative phases, spurred by the  rise of generative AI. This speech delves into this impending revolution,  shedding light on how artificial intelligence is poised to reshape our  healthcare paradigms from the perspective of Quanta Computer, a  leading AI platform provider for smart medicine and digital health. From  AI-driven diagnostics that predict with unprecedented accuracy to  personalized treatments tailored to individual genetic imprints, we are  witnessing the dawn of a new era. This discourse not only celebrates the  remarkable innovations that AI promises but also engages in a critical  examination of the challenges and ethical dilemmas it presents. As we  navigate this uncharted territory, the speech emphasizes the need for  synergy between human insight and machine intelligence, ensuring that  the future of medicine is not just technologically advanced but also(字串長度:1002)---->(字串長度:0)```me_desc---->Dr. Ted Chang is a highly accomplished Chief Technology Officer, Vice President and General Manager of Quanta Computer, which is the world’s largest computer ODM and laptop computer maker. He has more than 20 years of experience in leading global corporations and has been instrumental in driving corporate technology strategy and global research partnership. In addition, Dr. Chang is responsible for overseeing the Quanta Research Institute (QRI) for advanced research and BU12, a business unit dedicated to integration of AI, IoT and cloud computing as a platform solution for smart transformation of Heathcare, Medicine and Agriculture. Dr. Chang has been appointed as representatives of Taiwan for APEC Business Advisory Council (ABAC) since 2019. Academically, Dr. Chang holds various guest professorships in the EECS colleges of National Taiwan University (NTU), National Cheng-Kung University (NCKU), Asia University (AU) and the AI college of National Yang-Ming Chao-Tung University (NYCU). He serves as a member of the board for several educational and research foundations, including the Epoch Foundation, Spring Foundation, Quanta Culture and Education Foundation (QCEF), Chinese Medical Advancement Foundation, and Ming Dao Culture and Education Foundation. Among many honors, Dr. Chang recently received the Japan Good Design Best 100 award in 2022, five REDDOT Design Awards on Smart Medicine (2021 and 2022), and IF Design Award on Smart Agriculture in 2021. He was also awarded distinguished alumni awards from both NCKU and Chia-Yi High School in 2021. He led the Quanta-NCTU Joint AI Center to win the CES Innovation Award and WITSA in 2020 Award. He was the chief advisor to the Taiwan Pavilion “Swingphony” at London Design Biennale 2020. Dr. Chang is a prolific inventor with over 220 patents granted globally by Oct. 2022. His invention in 2001, \"\"A Network Object Delivery System for Personal Computing Device,\"\" defined the \"\"Application Module Store.\"\" Dr. Chang joined Quanta in 2000, promoted as VP in 2009 and promoted as the first CTO in Quanta history in 2010. Since 2004, Dr. Chang has led the strategic research collaboration on future computing with MIT Computer Science and Artificial Lab (CSAIL) to support the transformation of Quanta. The partnership started with TParty project on Human Centric Computing, Qmulus Project on Cloud Computing and now on AIM project with focus on AI medicine and computational health. Dr. Chang\'s past projects, One Laptop Per Child (OLPC) and the QRI research model, were published as business cases by Harvard Business School.(字串長度:2603)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報67(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6063,'2023-08-30 13:48:16',68,'name---->蔡明順(字串長度:9)---->TBD-68(字串長度:6)```name2---->Richie Tsai(字串長度:11)---->(字串長度:0)```talk_title---->人才破繭生成未來：AIA人才能力認證計畫(字串長度:54)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Taiwan AI Academy(字串長度:17)---->(字串長度:0)```position---->Provost(字串長度:7)---->(字串長度:0)```me_desc---->Richie Tsai is the provost of Taiwan AI Academy and takes overall responsibility for the academy\'s AI talent training, strategy on developing consulting services, startup coaching, technology promotion, community management, industry-university bridging, and career development. Prior to joining Taiwan AI Academy, Richie was Senior Director at SAP Greater China, ever worked for Oracle and Teradata where he helped leading enterprises to navigate their digital transformation. He graduated from Fu Jen Catholic University in 1996 and received his MBA degree from San Diego State Univeristy in 2003. He is pursuitng PhD degree in National Tsing Huwa University.  學歷：清華大學跨院國際博士班 - 智慧製造與數位決策 現職：台灣人工智慧學校 校務長 / 國科會 TAIWAN AICoE 策略委員會委員 / 台灣氣候聯盟 - 綠色與數位科技委員會召集人 專長：AI, Big Data, 數位轉型, SaaS 經歷：20 多年經驗在資訊工程、產品管理、營運、市場 行銷、生態系統培育 • SAP 德商思愛普 大中華區資深副總經理 • Oracle 美商甲骨文 應用軟體部副總經理 • Teradata 美商天睿資訊系統 資深協理(字串長度:1193)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報68(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6064,'2023-08-30 13:48:16',69,'name---->Lawrence Lessig(字串長度:15)---->TBD-69(字串長度:6)```talk_title---->AI and the Law(字串長度:14)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Harvard University(字串長度:18)---->(字串長度:0)```position---->Law School(字串長度:10)---->(字串長度:0)```me_desc---->Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. (The Roy Furman chair is in honor of this extraordinary alumnus.)  Prior to rejoining the Harvard faculty, where he was the Berkman Professor of Law until 2000, Lessig was a professor at Stanford Law School, where he founded the school’s Center for Internet and Society, and at the University of Chicago.  Lessig clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court. He serves on the Board of the AXA Research Fund, and is an Emeritus member of the board at Creative Commons.  Lessig is a Member of the American Academy of Arts and Sciences, and the American Philosophical Association, and has received numerous awards, including the Free Software Foundation’s Freedom Award, Fastcase 50 Award.  In 2002, he was named one of Scientific American’s Top 50 Visionaries.  Lessig holds a BA in economics and a BS in management from the University of Pennsylvania, an MA in philosophy from Cambridge, and a JD from Yale.(字串長度:1090)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報69(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6065,'2023-08-30 13:48:16',70,'name---->蔡宗翰(字串長度:9)---->TBD-70(字串長度:6)```name2---->Richard Tzong-Han Tsai(字串長度:22)---->(字串長度:0)```company---->Academia Sinica(字串長度:15)---->(字串長度:0)```position---->Research Fellow (Professor)(字串長度:27)---->(字串長度:0)```company2---->蔡宗翰 研究員 (Academia Sinica)(字串長度:37)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6066,'2023-08-30 13:48:16',71,'name---->張順教(字串長度:9)---->TBD-71(字串長度:6)```name2---->Shun-Chiao Chang(字串長度:16)---->(字串長度:0)```company---->National Taiwan University of Science and Technology(字串長度:52)---->(字串長度:0)```position---->Professor, Dept. of Business Administration(字串長度:43)---->(字串長度:0)```company2---->張順教 教授 (Taiwan Tech University)(字串長度:41)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6067,'2023-08-30 13:48:16',72,'name---->楊朝棟(字串長度:9)---->TBD-72(字串長度:6)```name2---->Chao-Tung Yang(字串長度:14)---->(字串長度:0)```company---->Tunghai University(字串長度:18)---->(字串長度:0)```position---->Lifetime Distinguished Professor, Dept. of Computer Science(字串長度:59)---->(字串長度:0)```company2---->楊朝棟 教授 (Tunghai University)(字串長度:37)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6068,'2023-08-30 13:48:16',73,'name---->邱銘傳(字串長度:9)---->TBD-73(字串長度:6)```name2---->Chiu, Ming-Chuan(字串長度:16)---->(字串長度:0)```company---->National Tsing Hua University(字串長度:29)---->(字串長度:0)```position---->Professor, Dept. Industrial Engineering and Engineering Management(字串長度:66)---->(字串長度:0)```company2---->邱銘傳 教授 (National Tsing Hua University)(字串長度:48)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6069,'2023-08-30 13:48:16',74,'name---->李家岩(字串長度:9)---->TBD-74(字串長度:6)```name2---->Chia-Yen Lee(字串長度:12)---->(字串長度:0)```company---->National Taiwan University (NTU)(字串長度:32)---->(字串長度:0)```position---->Professor, Dept. of Information Management(字串長度:42)---->(字串長度:0)```company2---->李家岩 教授 (National Taiwan University)(字串長度:45)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6070,'2023-08-30 13:48:16',75,'name---->翁紹仁 (字串長度:10)---->TBD-75(字串長度:6)```name2---->Shao-Jen Weng(字串長度:13)---->(字串長度:0)```company---->Tunghai University(字串長度:18)---->(字串長度:0)```position---->Professor, Dept. of Industrial Engineering and Enterprise Informatio(字串長度:68)---->(字串長度:0)```company2---->翁紹仁 教授 (Tunghai University)(字串長度:37)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6071,'2023-08-30 13:48:16',76,'name---->許嘉裕(字串長度:9)---->TBD-76(字串長度:6)```name2---->Chia-Yu, Hsu(字串長度:12)---->(字串長度:0)```company---->National Taiwan University of Science and Technology(字串長度:52)---->(字串長度:0)```position---->Professor, Dept. of Industrial Management(字串長度:41)---->(字串長度:0)```company2---->許嘉裕 教授 (Taiwan Tech University)(字串長度:41)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6072,'2023-08-30 13:48:16',77,'name---->郭秉宸(字串長度:9)---->TBD-77(字串長度:6)```name2---->Benjamin Kuo (字串長度:13)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Taiwan AI Academy(字串長度:17)---->(字串長度:0)```position---->Vice President for Industry-Academia Collaboration(字串長度:50)---->(字串長度:0)```company2---->郭秉宸 產學長 (Taiwan AI Academy)(字串長度:39)---->(字串長度:0)```me_desc---->郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任: KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長 : 產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:1155)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報77(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6073,'2023-08-30 13:48:16',78,'name---->胡瑛敏(字串長度:9)---->TBD-78(字串長度:6)```name2---->Amy Hu(字串長度:6)---->(字串長度:0)```talk_title---->Generative AI on Intel® Architecture(字串長度:37)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Intel(字串長度:5)---->(字串長度:0)```position---->Taiwan Site Manager, Habana Labs(字串長度:32)---->(字串長度:0)```desc---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.\r \r Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.\r \r 生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.\r \r Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇,(字串長度:1580)---->(字串長度:0)```me_desc---->美商英特爾公司 DCAI 部門, Habana Labs 台灣區總經理, 負責製造及支援平台的客戶。  (字串長度:108)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報78(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6074,'2023-08-30 13:48:16',80,'name---->黃彥男(字串長度:9)---->TBD-80(字串長度:6)```name2---->Yennun Huang(字串長度:12)---->(字串長度:0)```talk_title---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Academia Sinica(字串長度:15)---->(字串長度:0)```position---->Research Center for Information Technology Innovation,  Director(字串長度:64)---->(字串長度:0)```me_desc---->Dr Huang is the Director for Research Center for Information Technology Innovation (CITI), Academia Sinica, Taiwan. He is also a Board Member, of TRADE-VAN, a Joint Professor of IoT Research Center, Natiaon Taiwan university, a Joint Professor of College of AI, National Yan Ming Chiao Tung University and a Supervisor of Taiwan AI Academy. Dr. Huang received his PhD in Computer Science from University of Maryland. He Joined AT&T Bell Labs in 1989. His work on Software Implemented Fault Tolerance (SwiFT) tools was applied to tens of telecommunication systems in AT&T and was named one of the ten major technology breakthroughs in Bell Laboratories in 1992. He became a Distinguished Member of Technical Staff of Bell Labs in 1996. He started the Dependable Computing Research Department in AT&T in 1999 and was the department head to ensure the high dependability of all AT&T services. In 2004, Dr. Huang became the Executive Director of Dependable Distributed Computing and Communication Research Department to lead AT&T dependability research programs. In 2007, Dr. Huang became the Executive Vice President of Institute for Information Industry of Taiwan. Dr. Huang has more than 20 US patents and 150 papers published in well-known journals and conferences. His Software rejuvenation paper was awarded Jean-Claude Laprie Award in 2019. Dr. Huang was also the Deputy Executive Secretary of Science and Technology Advisory Group of Executive Yuan, helping Taiwan Government on the Information and Communication Technology development policy and funding allocation between 2010 and 2015. Dr. Huang is an IEEE Fellow.(字串長度:1621)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報80(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6075,'2023-08-30 13:48:16',81,'name---->古倫維(字串長度:9)---->TBD-81(字串長度:6)```name2----> Lun-Wei Ku(字串長度:11)---->(字串長度:0)```talk_title---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Academia Sinica(字串長度:15)---->(字串長度:0)```position---->Institute of Information Science, Research Fellow(字串長度:49)---->(字串長度:0)```me_desc---->received her Ph.D. degree in Computer Science and Information Engineering from National Taiwan University, Taipei, Taiwan, in 2009. She joined the Institute of Information Science, Academia Sinica as an assistant research fellow in Aug., 2012, and was promoted to be an associate research fellow in Aug., 2018.  Her research expertise lies in natural language processing and information retrieval, especially in sentiment analysis and opinion mining. She often publishes papers in top conferences including ACL, AAAI, SIGIR, WWW, NAACL, and EMNLP. She is very active in the research community, and the international professional activities she involves include the general chair and the program chair of StarSem 2021, StarSem 2019 and AIRS 2019, and the area chair of ACL, NjAACL 2021, ACL, EMNLP, COLING 2020, EMNLP 2019, ACL 2017, CCL 2016, NLPCC 2016, ACL-IJCNLP and EMNLP 2015. Her research is internationally recognized and has been served as the AFNLP Member-at-Large and ACL SIGHAN Asia Information Officer.  She is very experienced in academic and industrial collaborations. Her research collaborators come from US, Singapore, Sweden and Israel, and she is currently working with data companies and banks. Her current research topics focus on recommendation, visual storytelling, sensational text generation, fake news intervention, knowledge-based question answering, lie detection and social media analysis.(字串長度:1417)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報81(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6076,'2023-08-30 13:48:16',82,'name---->尹維作(字串長度:9)---->TBD-82(字串長度:6)```name2---->Steven Yin(字串長度:10)---->(字串長度:0)```talk_title---->Welcome to SysMoore Era - What can AI/ML EDA Tools to Unleash the Moore Law?(字串長度:76)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Synopsys(字串長度:8)---->(字串長度:0)```position---->Sr. Sales Director(字串長度:18)---->(字串長度:0)```desc---->In the SysMoore era, we are facing a lot of challenges. This talk will cover “The Five Overarching Themes” in the current IC design, including (i) PPA push, (ii) First Tapeout works, (iii) Multi-die/3D systems, (iv) Safe, secure, resilience silicon, and (v) Productivity. How Synopsys EDA uses AI/ML to cope with those challenges. (字串長度:335)---->(字串長度:0)```me_desc---->  Steven Yin is currently the senior sales director at Synopsys Taiwan, leading a team focused on managing relationships with major foundries and IC design companies. He joined Synopsys Taiwan in 2003, following successful roles as sales leader in Agilent Technologies and Taiwan local start-up IC design company. Steven is with extensive experience of semiconductor industry, including manufacturing processes, IC design methodology, and application market trend.(字串長度:464)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報82(字串長度:8)'),(6077,'2023-08-30 13:49:08',1,'name---->TBD-01(字串長度:6)---->廖俊智(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->James C. Liao(字串長度:13)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->President (字串長度:10)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6078,'2023-08-30 13:49:08',2,'name---->TBD-02(字串長度:6)---->吳政忠(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Tsung-Tsong Wu(字串長度:14)```company---->(字串長度:0)---->National Science and Technology Council(字串長度:39)```position---->(字串長度:0)---->Minister(字串長度:8)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6079,'2023-08-30 13:49:08',3,'name---->TBD-03(字串長度:6)---->林百里(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Barry Lam(字串長度:9)```talk_title---->(字串長度:0)---->Prompting The Future: Transforming Medicine through Generative AI(字串長度:65)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Quanta Computer Inc.(字串長度:20)```position---->(字串長度:0)---->Chairman(字串長度:8)```desc---->(字串長度:0)---->Medicine, a discipline rooted in centuries of knowledge and practice, is  now at the brink of one of its most transformative phases, spurred by the  rise of generative AI. This speech delves into this impending revolution,  shedding light on how artificial intelligence is poised to reshape our  healthcare paradigms from the perspective of Quanta Computer, a  leading AI platform provider for smart medicine and digital health. From  AI-driven diagnostics that predict with unprecedented accuracy to  personalized treatments tailored to individual genetic imprints, we are  witnessing the dawn of a new era. This discourse not only celebrates the  remarkable innovations that AI promises but also engages in a critical  examination of the challenges and ethical dilemmas it presents. As we  navigate this uncharted territory, the speech emphasizes the need for  synergy between human insight and machine intelligence, ensuring that  the future of medicine is not just technologically advanced but also(字串長度:1002)```me_desc---->(字串長度:0)---->Mr. Barry Lam, the founder and CEO of Quanta Group, is a guiding figure in the IT industry. With a master\'s degree in Electrical Engineering from National Taiwan University, he has stood at the forefront of technological waves for decades, leading industry transformation.   From the 1980s to the 1990s, Mr. Lam steered Quanta\'s focus towards computer hardware technology, engaging in in-depth research and innovation. As cloud technology emerged in the mid-2000s, the company innovatively developed hardware and software solutions, continuously exploring new territories. In recent years, his vision extended to artificial intelligence (AI), 5G technology, and next-gen metaverse computing platforms, actively driving advancements in smart manufacturing, transportation, healthcare, and other emerging fields, thereby promoting a new wave of digital transformation for businesses.  Beyond excelling in the business domain, Mr. Lam founded the Quanta Culture and Education Foundation, championing the idea of cultural enrichment for all. Through the \"\"Immersed in Creativity\"\" project, he introduced art to campuses, seamlessly integrating art education into students\' daily lives. Simultaneously, the foundation\'s \"\"Immersed in AI\"\" project deeply engages with education in preparation for Taiwan\'s embrace of the AI era, injecting new vitality. These efforts underscore his sense of social responsibility and dedication to education.(字串長度:1435)```talkfile_link---->簡報3(字串長度:7)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6080,'2023-08-30 13:49:08',4,'name---->TBD-04(字串長度:6)---->紀懷新(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ed H. Chi(字串長度:9)```talk_title---->(字串長度:0)---->The LLM Revolution: Implications from Chatbots and Tool-use to Reasoning(字串長度:72)```company---->(字串長度:0)---->Google DeepMind(字串長度:15)```position---->(字串長度:0)---->Distinguished Scientist(字串長度:23)```desc---->(字串長度:0)---->The LLM (Large Language Model) Revolution: Implications from Chatbots and Tool-use to Reasoning  Deep learning is a shock to our field in many ways, yet still many of us were surprised at the incredible performance of Large Language Models (LLMs). LLM uses new deep learning techniques with massively large data sets to understand, predict, summarize, and generate new content.  LLMs like ChatGPT and Bard have seen a dramatic increase in their capabilities---generating text that is nearly indistinguishable from human-written text, translating languages with amazing accuracy, and answering your questions in an informative way. This has led to a number of exciting research directions for chatbots, tool-use, and reasoning:   - Chatbots: LLM chatbots that are more engaging and informative than traditional chatbots. First, LLMs can understand the context of a conversation better than ever before, allowing them to provide more relevant and helpful responses.  Second, LLMs enable more engaging conversations than traditional chatbots, because they can understand the nuances of human language and respond in a more natural way. For example, LLMs can make jokes, ask questions, and provide feedback.  Finally, because LLM chatbots can hold conversations on a wide range of topics, they can eventually learn and adapt to the user\'s individual preferences.     - Tool-use, Retrieval Augmentation and Multi-modality: LLMs are also being used to create tools that help us with everyday tasks. For example, LLMs can be used to generate code, write emails, and even create presentations.  Beyond human-like responses in Chatbots, later LLM innovators realized LLM’s ability to incorporate tool-use, including calling search and recommendation engines, which means that they could effectively become human assistants in synthesizing summaries from web search and recommendation results.  Tool-use integration have also enabled multimodal capabilities, which means that the chatbot can produce text, speech, images, and video.   - Reasoning: LLMs are also being used to develop new AI systems that can reason and solve problems. Using Chain-of-Thought approaches, we have shown LLM\'s ability to break down problems, and then use logical reasoning to solve each of these smaller problems, and then combine the solutions to reach the final answer.  LLMs can answer common-sense questions by using their knowledge of the world to reason about the problem, and then use their language skills to generate text that is both creative and informative.   In this talk, I will cover recent advances in these 3 major areas, attempting to draw connections between them, and paint a picture of where major advances might still come from.  While the LLM revolution is still in its early stages, it has the potential to revolutionize the way we interact with AI, and make a significant impact on our lives.(字串長度:2889)```me_desc---->(字串長度:0)---->Ed H. Chi is a Distinguished Scientist at Google DeepMind, leading machine learning research teams working on large language models (LaMDA/Bard), neural recommendations, and reliable machine learning. With 39 patents and ~200 research articles, he is also known for research on user behavior in web and social media.  As the Research Platform Lead, he helped launched Bard, a conversational AI experiment, and delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >720 product improvements since 2013.   Prior to Google, he was Area Manager and Principal Scientist at Xerox Palo Alto Research Center\'s Augmented Social Cognition Group in researching how social computing systems help groups of people to remember, think and reason. Ed earned his 3 degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Inducted as an ACM Fellow and into the CHI Academy, he also received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press.  An avid golfer, swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.(字串長度:1235)```talkfile_link---->簡報4(字串長度:7)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6081,'2023-08-30 13:49:08',6,'name---->TBD-06(字串長度:6)---->張嘉淵(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ted Chang(字串長度:9)```talk_title---->(字串長度:0)---->生成式 AI 開啟的技術與產業革新(字串長度:43)```company---->(字串長度:0)---->Quanta Computer(字串長度:15)```position---->(字串長度:0)---->CTO(字串長度:3)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6082,'2023-08-30 13:49:08',7,'name---->TBD-07(字串長度:6)---->李育杰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Yuh-Jye Lee(字串長度:11)```talk_title---->(字串長度:0)---->生成式 AI 開啟的技術與產業革新(字串長度:43)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->Research Fellow (Professor)(字串長度:27)```me_desc---->(字串長度:0)---->李育杰教授於 2001 年於美國威斯康辛大學麥迪遜分校取得電腦科學博士後，回台於中正大學資訊工程系任教一年，轉任台灣科技大學資訊工程系任教，2016 年二月至交通大學應用數學系、數據科學與工程研究所擔任教授。目前也合聘於清華大學統計研究所。李教授之研究主要在 資料科學、資料探勘與機器學習。在過去十多年間，李教授在監督式學習、半 監督式學習與非監督式學習 (線性 / 非線性維度縮減) 等領域中已發展了相當多的 有效率的學習演算法，並將其應用於網路入侵偵測、網路異常檢測、惡意網址 檢測與合法用戶識別等領域。李教授近年則利用 Online Learning 技術，處理巨量 資料、物聯網安全問題與巨量資料之異常檢測需求等問題。(字串長度:859)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6083,'2023-08-30 13:49:08',9,'name---->TBD-09(字串長度:6)---->劉思泰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->ST Liew(字串長度:7)```talk_title---->(字串長度:0)---->The Future of AI is on-device(字串長度:29)```company---->(字串長度:0)---->Qualcomm Technologies(字串長度:21)```position---->(字串長度:0)---->President, Taiwan & SEA\r Australia, New Zealand\r Vice President(字串長度:63)```me_desc---->(字串長度:0)---->ST Liew is a Vice President of Qualcomm Technologies, Inc. and the President of Qualcomm Taiwan and South East Asia, Australia, New Zealand. ST was born in Malaysia and was educated in Malaysia, Singapore and the UK. His permanent home is Singapore.  In this role, ST is responsible for leading all business and operational functions for Qualcomm in the region. Prior to this role, ST served as the Vice President and President of Qualcomm Taiwan.  ST has more than 30 years of experience leading businesses and R&D in the telecommunication industry. Most recently ST was the President of Acer’s new Business Group SPBG that focused on R&D and Sales of non PC lines of product for the global market while living in Switzerland and later in Taiwan.  Before joining Acer, ST was in Motorola for over 18 years leading Regional R&D Teams and later in Product planning, business Teams across the world in products ranging from Mobile radios, Pagers, Data terminals to Cellular phones. ST has lived in China, Korea, USA and India during his tenure.  Liew received his MBA from the National University of Singapore, and holds a BSc. in Electrical and Electronic Engineering from the University of Leeds, UK. (字串長度:1203)```talkfile_link---->簡報9(字串長度:7)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6084,'2023-08-30 13:49:08',11,'name---->TBD-11(字串長度:6)---->吳漢章(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Peter Wu(字串長度:8)```talk_title---->(字串長度:0)----> Democratizing LLM to Empower Generative AI Innovations(字串長度:55)```company---->(字串長度:0)---->TWSC(字串長度:4)```position---->(字串長度:0)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->華碩雲端暨台智雲總經理 吳漢章先生擁有多年雲端服務與智慧醫療創新創業經驗，主導 TWCC 平台和主機台灣杉二號的建置開發及營運，創下國際超級電腦的最佳排行和提升國內自主科技的量能。帶領台智雲AIHPC超級電腦與華碩雲端成為AI 雲端的領導品牌，推動雲端、大數據、物聯網、區塊鏈、5G 及人工智慧整合性創新，協助資訊科技與產業整合、推動數位轉型。(字串長度:480)```talkfile_link---->簡報11(字串長度:8)---->Ｘ(字串長度:3)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6085,'2023-08-30 13:49:08',12,'name---->TBD-12(字串長度:6)---->許大山(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Da-shan Shiu(字串長度:12)```talk_title---->(字串長度:0)---->Case Studies of Applying Generative AI Concepts to Low Resource Domains(字串長度:71)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->MediaTek Research(字串長度:17)```position---->(字串長度:0)---->Managing Director(字串長度:17)```desc---->(字串長度:0)---->Generative AI has achieved significant advances in a very short amount of time, in areas of language, vision, coding, speech and audio. In this talk we share two cases in which generative AI are applied to two low resource scenarios. In the first case, we have some very precious samples of cellular channel responses from real-world measurement. We would like to draw synthetic channel responses from the same distribution. In the second case, we are asked to customize an automatic speech recognition system to a use doamin, for which we do not have any audio-transcript pairs. We share our experience in how to tackle such low or even no resource challenges. (字串長度:662)```me_desc---->(字串長度:0)---->Dr. Da-shan Shiu is currently the Managing Director of MediaTek Research. Prior to this, he co-founded Mobilepeak Systems and served as its Chief Technology Officer. He was also an Associate Professor at the Department of Electrical Engineering and the Graduate School of Communications Engineering of National Taiwan University, as well as leading the Cellular modem algorithm development of Qualcomm in San Jose. He holds a Ph.D. from UC Berkeley. His research interests lie in fundamental communication and computational theory. He applies theoretical principles to practical applications, such as cellular communications, virtual and augmented reality, foundation model-driven autonomous agents, and machine learning for electronic design automation (EDA).(字串長度:760)```talkfile_link---->簡報12(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6086,'2023-08-30 13:49:08',13,'name---->TBD-13(字串長度:6)---->沈文冰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Wenping Shen(字串長度:12)```talk_title---->(字串長度:0)---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->TSMC(字串長度:4)```position---->(字串長度:0)---->AI Application & Integration Division, Deputy Director (字串長度:55)```desc---->(字串長度:0)---->As the field of LLM research continues to rapidly evolve, enterprises must constantly \"Fine-Tune\" their LLMs to leverage the benefits of SOTA models. Here, we explore the practical reasons for fine-tuning LLMs for enterprise applications and share strategies for meeting these challenges head-on.(字串長度:296)```me_desc---->(字串長度:0)---->Over 25 years of experience in enterprise IT and held senior positions in a variety of industries, including semiconductor manufacturing (TSMC), finance and insurance (MetLife), and electrification and automation (ABB).  (字串長度:221)```talkfile_link---->簡報13(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6087,'2023-08-30 13:49:08',14,'name---->TBD-14(字串長度:6)---->Thomas Scialom(字串長度:14)```hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->(字串長度:0)---->Large Language Models, Generative AI and Scaling(字串長度:48)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Meta AI(字串長度:7)```position---->(字串長度:0)---->Research Scientist (LLMs)(字串長度:25)```me_desc---->(字串長度:0)---->Thomas Scialom is behind some of the world\'s best-known Generative A.I. projects including Llama 2  (Co-Lead), Toolformer, Galactica and Unnatural Instruction.    •  Llama 2 is today\'s top open-source LLM  •  Toolformer is an LLM that learns how to use tools •  Galactica is an LLM for science   Dr. Scialom: • Is an A.I. Research Scientist at Meta. • Has lectured at many of the top A.I. labs (e.g., Google, Stanford, MILA). • Is contributing to the development of Artificial General Intelligence (AGI). • Holds a PhD from Sorbonne University, where he specialized in Natural-Language Generation with Reinforcement Learning.(字串長度:639)```talkfile_link---->簡報14(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6088,'2023-08-30 13:49:08',15,'name---->TBD-15(字串長度:6)---->王宗業(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Chungyeh Wang(字串長度:13)```talk_title---->(字串長度:0)---->Generative AI on Intel® Architecture(字串長度:37)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Intel(字串長度:5)```position---->(字串長度:0)---->Platform Software Architect(字串長度:27)```desc---->(字串長度:0)---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.\r \r Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.\r \r 生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.\r \r Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇,(字串長度:1580)```me_desc---->(字串長度:0)---->美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。(字串長度:264)```talkfile_link---->簡報15(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6089,'2023-08-30 13:49:08',16,'name---->TBD-16(字串長度:6)---->李百飛(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Brian Lee(字串長度:9)```talk_title---->(字串長度:0)---->Green Technologies Embedded for Big Data + GenAI Platform(字串長度:57)```company---->(字串長度:0)---->Dell Technologies (字串長度:18)```position---->(字串長度:0)---->Technical VP(字串長度:12)```company2---->(字串長度:0)---->System Engineering(字串長度:18)```me_desc---->(字串長度:0)---->I am currently employed at Dell Technologies in Taiwan with over 25 years of IT experience. My technical expertise particularly focuses on: •        Building private clouds and integrating public clouds to implement optimal multi-cloud strategies. •        Integrating the GenAI framework into big data platforms, establishing a solid foundation for intelligent transformation. •        Planning IT architectures to mitigate geopolitical risks. •        Utilizing Green Data Center technologies to enhance the ESG journey. (字串長度:531)```talkfile_link---->簡報16(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6090,'2023-08-30 13:49:08',17,'name---->TBD-17(字串長度:6)---->陳贈文(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Vince Chen(字串長度:10)```talk_title---->(字串長度:0)---->Green AI Infrastructure for Business Transformation(字串長度:51)```company---->(字串長度:0)---->Super Micro Computer, Inc.(字串長度:26)```position---->(字串長度:0)---->Sr. Director of Solutions Architecture(字串長度:38)```me_desc---->(字串長度:0)---->Vince Chen is a Sr. Director of Solutions Architecture in Supermicro’s System Product Group, focused on executing company’s solution business strategy. Since the time of joining Supermicro in 2017, He has been leading a team of Solutions Architects and successfully architected, implemented and delivered optimized solutions to large scale data center and enterprise customers. He has over 25 years of experience in IT industry, with the specialties in server and datacenter technologies and solutions.  He started early career as a hard-core engineering developing generations of enterprise server systems, followed by driving ecosystem collaboration to deliver datacenter technology innovations, to current role of delivering turn-key solutions to customers and helping them achieve their business goals with latest and greatest technologies.(字串長度:848)```talkfile_link---->簡報17(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6091,'2023-08-30 13:49:08',18,'name---->TBD-18(字串長度:6)---->康勝閔(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Eric Kang(字串長度:9)```talk_title---->(字串長度:0)---->NVIDIA Grace Hopper Superchip Architecture In-Depth(字串長度:51)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->NVIDIA(字串長度:6)```position---->(字串長度:0)---->Senior Manger, Solution Architect (字串長度:34)```desc---->(字串長度:0)---->The NVIDIA Grace Hopper Superchip Architecture is the first true heterogeneous accelerated platform for high-performance computing (HPC) and AI workloads. It accelerates applications with the strengths of both GPUs and CPUs while providing the simplest and most productive distributed heterogeneous programming model to date. Scientists and engineers can focus on solving the world’s most important problems. The NVIDIA Grace Hopper Superchip architecture brings together the groundbreaking performance of the NVIDIA Hopper GPU with the versatility of the NVIDIA Grace CPU, connected with a high bandwidth and memory coherent NVIDIA NVLink Chip-2-Chip (C2C) interconnect in a single superchip, and support for the new NVIDIA NVLink Switch System.(字串長度:748)```me_desc---->(字串長度:0)---->Eric Kang leading the Solutions Architect team in NVIDIA, working with customers and partners to deliver the world\'s best solutions for artificial intelligence, deep learning and machine learning, professional visualization, and high-performance computing. Specializing in NVIDIA\'s advanced solutions architecture planning, he has in-depth research on high-performance computing and deep learning computing architecture and participates in relevant important projects architecture planning. Prior to joining NVIDIA, he served in HP Enterprise and as solutions consultant lead for data center transformation practice. Experience including high-performance computing, advanced data center planning, private cloud and public cloud management solutions, data center management automation.(字串長度:784)```talkfile_link---->簡報18(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6092,'2023-08-30 13:49:08',19,'name---->TBD-19(字串長度:6)---->沈仲杰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->JongJye Sheen(字串長度:13)```talk_title---->(字串長度:0)---->AMD Instinct GPU – 1.19 ExaFlops System and LLM(字串長度:49)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->AMD(字串長度:3)```position---->(字串長度:0)---->Sr. Market Development Manager(字串長度:30)```company2---->(字串長度:0)---->Data Center Accelerator BU(字串長度:26)```desc---->(字串長度:0)---->   AMD has been designing high end Graphic Processors for a long period. In the 2010s, AMD joined the HPC project with DOE in the States and delivered the first ExaFlops system – Frontier. Frontier has not only achieved more than 1.1 Exa 64 bits Flops (2022 Jun), but also is the first system to deliver more than 60GFlops/Watt which provides extraordinary energy efficiency. With the breakthrough in performance, the comprehensive GPU software development environment named ROCm was used to provide necessary tools (Compiler, Debugger, Profiler) and software libraries for the software experts to develop GPU codes to run on AMD MI-Instinct GPU.      ​   AMD MI250X GPU was the GPU that used to build the Frontier system. The MI250X GPU Architecture has Hardware level Unify memory feature. CPU and GPU are connected with AMD XGMI Infinity fabrics. The following on generation MI300A, which is another breakthrough that integrated CPU and GPU in the same Socket to have all HBM shared between GPU and CPU which could eliminate the costly memory copy between System memory and HBM memory. Expected memory bound applications will be benefited by this architecture. Another coming product, MI300X, which follows OAM design standard, will provide 192GB HBM3 memory and 5.2TBs internal HBM memory bandwidth, that is suitable for LLM applications. AMD chip-let architecture has been proven as a successful technology that provides flexibility and scale up ​capability within a socket, and is able to deliver versatile processing/memory ​combination on a single Socket to support the  growing demand of ​different workload​.        AMD ROCm is now an official support platform of Pytroch, Many AI models and Frameworks has been supported on ROCm environment and lots of them has containers built for test and available in GitHub. AMD ROCm inherited the philosophy of Open Source Community. AMD ROCm HPL and HPCG source code is downloadable. (https://community.amd.com/t5/rocm/rocm-hpl-code-now-open-sourced-for-amd-instinct-accelerators/ba-p/540113AMD). AMD believe with collaboration and share with the Open Source Community, technology development will be thrived and fruitful. ROCm learning environment and materials is also available on WEB for general access.      (字串長度:2276)```me_desc---->(字串長度:0)----> JongJye started his HPC career in 2002. He has delivered the first 1TFlops system in Taiwan (based on HP Itanium) to NCHC in 2003. He has been working in APAC region and look after HyperScale computing business mainly focus in North Asia area. He is now in AMD and supporting DC GPU business.(字串長度:293)```talkfile_link---->簡報19(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6093,'2023-08-30 13:49:08',20,'name---->TBD-20(字串長度:6)---->洪嘉明(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Chia-Ming Hung(字串長度:14)```talk_title---->(字串長度:0)---->Designing Industry-Leading Energy-Efficient AI Chips(字串長度:52)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->NEUCHIPS(字串長度:8)```position---->(字串長度:0)---->R&D department, Manager(字串長度:23)```desc---->(字串長度:0)---->In the presentation, we will use NEUCHIPS\'s product as an example to show the challenges of creating cutting-edge energy-efficient AI chips. We will talk about the strategies and technologies used in the design process, highlighting impressive MLPerf benchmarks achievements in energy efficiency. Moreover, we\'ll discuss the future possibilities and trends in deep-learning recommendation systems and generative AI.(字串長度:415)```me_desc---->(字串長度:0)---->Chia-Ming Hung is Research and Development Manager at NEUCHIPS, with responsibilities encompassing the guidance of SoC platform and AI chip architecture design. With an extensive background spanning around 15 years in the IC design industry and considerable experience in chip tape-outs, he brings a wealth of expertise to his role. His academic journey led him to graduate from the Master\'s program in the Department of Computer Science at National Tsing Hua University, Taiwan.(字串長度:479)```talkfile_link---->簡報20(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6094,'2023-08-30 13:49:08',21,'name---->TBD-21(字串長度:6)---->吳偉壽(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Wayne Wu(字串長度:8)```talk_title---->(字串長度:0)---->Liberate Data Performance, Embrace a Highly Flexible and Intelligent Cloud.(字串長度:75)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->NetApp(字串長度:6)```position---->(字串長度:0)---->Solution Engineer(字串長度:17)```desc---->(字串長度:0)---->1. Why do the vast majority of IT experts and enterprise customers choose NetApp products? 2. NetApp can assist you in effortlessly integrating data into the cloud, simplifying data management, and optimizing your resource utilization. 3. Sharing the key points and benefits of implementing an AI architecture. (字串長度:311)```me_desc---->(字串長度:0)---->Mr. Wu(Wayne Wu), currently serving as a solutions engineering at NetApp Taiwan, has extensive experience in the IT field. He has worked as a technical engineer, senior project manager, and sales technical consultant in well-known companies in the healthcare and telecommunications industries. He holds professional certifications in VＭware, NetApp, AWS, ISO, and more.  Mr. Wu specializes in information system architecture integration, hybrid cloud environment deployment, information security, and data center design planning. He has successfully executed and assisted in implementing numerous practical projects, serving clients in various sectors, including government agencies, education, telecommunications, and healthcare. With a wealth of experience in optimizing information system performance and risk management in setup and operations, he is a consultant well-versed in both expertise and industry operations knowledge. (字串長度:935)```talkfile_link---->簡報21(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6095,'2023-08-30 13:49:08',22,'name---->TBD-22(字串長度:6)---->李昕穎(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Hsin-Ying Lee(字串長度:13)```talk_title---->(字串長度:0)---->From 2D to 3D / From Image to Video(字串長度:35)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Snap Inc.(字串長度:9)```position---->(字串長度:0)---->Senior Research Scientist, Creative Vision Team, Snap Research(字串長度:62)```desc---->(字串長度:0)---->Generative models, particularly  diffusion models, have revolutionized the field of artificial intelligence by enabling machines to autonomously generate realistic and creative content. While the primary emphasis has been on generating and manipulating static 2D images, recent months have borne witness to a captivating surge in advancements pertaining to 3D content and dynamic videos. This juncture marks a significant extension in both spatial and temporal dimensions, transitioning from 2D to 3D and from images to videos, respectively. In this intricate expansion lies a confluence of intriguing shared properties and formidable challenges. This talk will briefly introduce the current research landscape for both 3D and video synthesis, shedding light on their distinctive attributes and common hurdles.(字串長度:810)```me_desc---->(字串長度:0)---->Hsin-Ying Lee is a senior research scientist in the Creative Vision team at Snap Research. He has been working on generative models since 2017. His recent research interests lie in 3D and 4D generation. (字串長度:203)```talkfile_link---->簡報22(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6096,'2023-08-30 13:49:08',23,'name---->TBD-23(字串長度:6)---->邱浩修(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Hao-Hsiu Chiu(字串長度:13)```talk_title---->(字串長度:0)---->Creativity with Generative AI in the Design and Architecture Industry(字串長度:69)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Tunghai Uiversity(字串長度:17)```position---->(字串長度:0)---->Department of Architecture, Associate Professor(字串長度:47)```me_desc---->(字串長度:0)---->Specializes in contemporary architectural criticism, parametric design and digital construction, hybrid (virtual-real) integrated space design, and smart design in sustainability. Academic research and design practice have been committed to exploring how the continuous evolution of contemporary digital and smart technology can affect global and local social culture. Focusing on digital design methods and application theories he tries to construct the meaningful dialogue and dialectical possibility  between Taiwan and the world through architectural discourse, curation and creation.  專長為當代建築評論、參數設計與數位構築、虛實整合空間設計、智慧永續設計，過去幾年教學研究與設計實踐，致力於探索持續進化的當代數位互動與智慧化技術，如何在全球與在地的社會文化與建築產業脈絡下，從概念到實踐挖掘出新的設計觀點、設計方法與應用理論。同時也關注當代建築的發展，嘗試以建築論述、策展與創作方式建構台灣在地性與世界建築思潮的積極對話與辯證的可能。 (字串長度:1116)```talkfile_link---->簡報23(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6097,'2023-08-30 13:49:08',24,'name---->TBD-24(字串長度:6)---->鄭生懋(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Thomas Cheng(字串長度:12)```talk_title---->(字串長度:0)---->Challenges and Opportunities of Machine Tool Industry in Taiwan (字串長度:64)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Victor Taichung (字串長度:16)```position---->(字串長度:0)---->General Management Division / Manager(字串長度:37)```me_desc---->(字串長度:0)---->鄭生懋，清華物理與智慧製造學程雙碩士，曾任職於台積電擔任製程工程師，移居台中後轉戰工具機產業，目前任職於台中精機擔任總經理室經理。參與精機公司新廠產線佈建、資訊系統整合、工具機產品整合技術開發等重大專案。在底蘊深厚的工具機產業中，看到台灣機械產業的美麗與憂愁，在大環境競爭加劇的現在與未來，始終相信以技術與管理為雙軸核心，在台灣製造業的跨業合作與AI賦能的加速下，台灣機械產業定能轉型成功更上層樓。(字串長度:593)```talkfile_link---->簡報24(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6098,'2023-08-30 13:49:08',25,'name---->TBD-25(字串長度:6)---->陳昱中(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Yuchung Chen(字串長度:12)```talk_title---->(字串長度:0)---->The Practice Principles of Smart Manufacturing(字串長度:46)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->eCloudvalley Digital Technology(字串長度:31)```position---->(字串長度:0)---->TW Dept. Technical Director(字串長度:27)```me_desc---->(字串長度:0)---->Yu Chung is responsible for technical pre-sales and service delivery for eCloudvalley Taiwan. Leveraging eCloudvalley\'s leading expertise and practical experience in Asia, he assists businesses in planning their cloud strategies and provides end-to-end lifecycle services from migration to continuous optimization.  Yu Chung has been involved in various teams at eCloudvalley, including MSP services, platform development, and core processes. He has participated in eCloudvalley\'s rapid growth journey from Taiwan to 10+ global regions and has experience serving hundreds of enterprise clients.(字串長度:594)```talkfile_link---->簡報25(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6099,'2023-08-30 13:49:08',26,'name---->TBD-26(字串長度:6)---->趙新民(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Shin-Min Chao(字串長度:13)```talk_title---->(字串長度:0)---->A sustainable and smart manufacturing for productivity improvement(字串長度:66)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->AUO Digitech(字串長度:12)```position---->(字串長度:0)---->Executive Vice President (字串長度:25)```me_desc---->(字串長度:0)---->Dr.Chao graduated from the IE&M of Yuan Ze University. He is currently the EVP of AUO Digitech. Before joining AUO Digitech, he was the CEO of Smile Technology. Dr. Chao’s professional fields are machine vision, pattern recognition, and process improvement.(字串長度:259)```talkfile_link---->簡報26(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6100,'2023-08-30 13:49:08',27,'name---->TBD-27(字串長度:6)---->吳振和(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Wu, Cheng-Ho(字串長度:12)```talk_title---->(字串長度:0)---->Cloud Empowerment and Rapid Deployment of Generative AI(字串長度:55)```company---->(字串長度:0)---->cacaFly(字串長度:7)```position---->(字串長度:0)---->VP of Technology(字串長度:16)```desc---->(字串長度:0)---->How to leverage the robust resource flexibility of the cloud to enable a more rapid and efficient transformation of Generative AI innovation into tangible products or services, and to realize quick deployment of applications through the cloud framework!\r 如何利用雲端的強大資源彈性，使生成式AI的創新更快速、更有效地轉化為實際產品或服務，並通過雲端框架實現應用的快速落地！(字串長度:428)```me_desc---->(字串長度:0)---->cacaFly VP, Technolog、台科大兼任教師。曾開發數百萬下載、Google、Apple排行榜熱門APP及數百大億數據流量網路服務。TEDx、AWS SUMMIT  講者、台灣人工智慧年會講者。(字串長度:210)```talkfile_link---->簡報27(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6101,'2023-08-30 13:49:08',28,'name---->TBD-28(字串長度:6)---->孫弘岳(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Hung-Yue Suen(字串長度:13)```talk_title---->(字串長度:0)---->Harnessing GAI: Revolutionizing HR Practices(字串長度:44)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Taiwan Normal University(字串長度:33)```position---->(字串長度:0)---->echnology Application And Human Resource Development / Distinguished Associate Professor(字串長度:88)```desc---->(字串長度:0)---->Today, we\'re on the brink of an extraordinary revelation that promises to reshape the very core of Human Resources (HR) practices. The captivating force of Generative AI, or GAI, isn\'t just a concept; it\'s a strategic enabler for HR professionals like us. We\'ve gathered here to embark on a journey through the practical landscape of harnessing GAI\'s potential.(字串長度:361)```me_desc---->(字串長度:0)---->With prior experience as an HR Director in financial holding companies, Dr. Suen enriches his academic pursuits with practical insights. His role involved overseeing HR functions internationally and domestically. Dr. Suen\'s research focuses on Affective Computing, Human-Computer Interaction, and the application of Artificial Intelligence (AI) in Human Resources. His work has been featured in esteemed international journals.(字串長度:427)```talkfile_link---->簡報28(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6102,'2023-08-30 13:49:08',29,'name---->TBD-29(字串長度:6)---->李怡志(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Richy Li(字串長度:8)```talk_title---->(字串長度:0)---->Unlocking Innovation with LLM: Integrating Prompt Engineering in Product Development(字串長度:84)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Chengchi University(字串長度:28)```position---->(字串長度:0)---->Assistant Prof., Dept. of Journalism(字串長度:36)```me_desc---->(字串長度:0)---->Richy Li is currently a faculty member at the Department of Journalism, National Chengchi University, where he teaches Information Visualization, Internet Product Development, and New Feature Reporting. His research focuses on the impact of technology on news organizations and innovation within the newsroom. Starting in 2023, he has incorporated Generative AI into several courses. He has previously served as the Editor-in-Chief at Yahoo Taiwan, and his work has been honored with a Digital Golden Tripod Award, as well as a nomination for the Online Journalism Awards in the USA.(字串長度:583)```talkfile_link---->簡報29(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6103,'2023-08-30 13:49:08',30,'name---->TBD-30(字串長度:6)---->許凱程(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Kai-Cheng Hsu(字串長度:13)```talk_title---->(字串長度:0)---->Transforming Smart Healthcare with Generative AI(字串長度:48)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->China Medical University Hospital(字串長度:33)```position---->(字串長度:0)---->Artificial Intelligence Center / Director(字串長度:41)```company2---->(字串長度:0)---->China Medical University(字串長度:24)```position2---->(字串長度:0)---->School of Medicine/ Assistant Professor(字串長度:39)```desc---->(字串長度:0)---->The speech provided a compelling insight into the potential of Generative AI to revolutionize healthcare, focusing on a pioneering collaboration between the China Medical University Hospital and Microsoft Taiwan.\r \r The gHi System, a groundbreaking AI solution born out of this collaboration, is globally recognized as the first generative AI medical system constructed in Chinese. Utilizing Microsoft\'s Azure platform and the cutting-edge language model GPT-4, the gHi System significantly reduces time spent on medical record-keeping, improving administrative efficiency and freeing medical professionals to focus more on patient care.\r \r The speech further highlighted how generative AI can transcend record-keeping by aiding in predicting disease patterns, personalizing treatment plans, and facilitating communication in patient care.\r \r In summary, the speech painted a future of smart healthcare where the intersection of Generative AI and medicine promotes more efficient, effective, and patient-centric medical practices. It highlighted the impressive achievements of collaborative technological innovation, opening up a conversation on the future of smart healthcare.(字串長度:1177)```me_desc---->(字串長度:0)---->Dr. Kai-Cheng Hsu is the Director of the Artificial Intelligence Center (AIC) for Medical Diagnosis at China Medical University Hospital (CMUH) and an Attending Physician at the Neurology Department of CMUH. He acquired a Medical Doctor from National Taiwan University, a Master of Electrical Engineering, and a Ph.D. in Chemical Engineering from National Chung Cheng University. He visited the National Institutes of Health (USA) for Medical Artificial Intelligence training from 2018 to 2020. His areas of research interest include artificial intelligence applications in medical images, biomedical signals, electronic health records, and bioinformatics. His goal is to combine his expertise in medicine and engineering to apply AI to develop products for advancing biomedical technology. He has led AIC to develop dozens of AI algorithms for clinical use in CMUH.(字串長度:866)```talkfile_link---->簡報30(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6104,'2023-08-30 13:49:08',31,'name---->TBD-31(字串長度:6)---->王俊權(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Friedman Wang(字串長度:13)```talk_title---->(字串長度:0)---->The Current State and Future Prospects of AI-Enabled Financial Services(字串長度:71)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Data Intelligence R&D Division(字串長度:30)```position---->(字串長度:0)---->Executive Vice President(字串長度:24)```talkfile_link---->簡報31(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6105,'2023-08-30 13:49:08',32,'name---->TBD-32(字串長度:6)---->胡德民(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Peter Hu(字串長度:8)```talk_title---->(字串長度:0)---->Opportunities and Methods for Accelerating Enterprise Digital Transformation through Generative AI\r (字串長度:100)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->FarEasTone Telecom(字串長度:18)```position---->(字串長度:0)---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)```desc---->(字串長度:0)---->In this presentation, we will explore how Generative AI can drive and expedite enterprise digital transformation. Discover the potential opportunities and practical methods that Generative AI offers to reshape business processes, enhance customer experiences, and unlock new avenues for innovation. Join us as we delve into the transformative power of Generative AI in the context of today\'s rapidly evolving digital landscape.(字串長度:427)```me_desc---->(字串長度:0)---->In August 2021, Mr. Peter joined Far EasTone Telecommunications as the Executive Vice President and Chief Information Officer of the Information and Digital Transformation Technology Group. Peter\'s role encompasses driving the transformation of information services, spearheading the development of next-generation digital user experiences for 5G, and leading the creation of enterprise solutions and consultancy services in the realms of \"Big Data, Artificial Intelligence, and Internet of Things\" under the Far EasTone brand. Additionally, Peter has taken the lead in establishing the Far EasTone Innovation Accelerator. 2021 年 8 月加入遠傳電信，擔任資訊暨數位轉型科技群執行副總經理及資訊長 負責推動資訊服務轉型、5G的新一代數位用戶體驗發展以及遠傳「大人物（大數據、人工智慧、物聯網）」的企業解決方案與顧問服務，並主導成立遠傳新創加速器。 (字串長度:944)```talkfile_link---->簡報32(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6106,'2023-08-30 13:49:08',34,'name---->TBD-34(字串長度:6)---->唐鳳(字串長度:6)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->TANG Feng (Audrey TANG)(字串長度:23)```talk_title---->(字串長度:0)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```company---->(字串長度:0)---->Ministry of Digital Affairs(字串長度:27)```position---->(字串長度:0)---->Minister(字串長度:8)```me_desc---->(字串長度:0)---->Audrey Tang is Taiwan’s digital minister in charge of moda (Ministry of Digital Affairs).  Audrey is known for revitalizing the computer languages Perl and Haskell, as well as building the online spreadsheet system EtherCalc in collaboration with Dan Bricklin.  In the public sector, Audrey served on Taiwan national development council’s open data committee and the 12-year basic education curriculum committee; and led the country’s first e-Rulemaking project.  In the private sector, Audrey worked as a consultant with Apple on computational linguistics, with Oxford University Press on crowd lexicography, and with Socialtext on social interaction design.  In the social sector, Audrey actively contributes to g0v (\"gov zero\"), a vibrant community focusing on creating tools for the civil society, with the call to \"fork the government.\"(字串長度:847)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6107,'2023-08-30 13:49:08',35,'name---->TBD-35(字串長度:6)---->蔡志宏(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Zsehong Tsai(字串長度:12)```talk_title---->(字串長度:0)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Taiwan University (NTU)(字串長度:32)```position---->(字串長度:0)---->Professor(字串長度:9)```company2---->(字串長度:0)---->Science & Technology Policy Advisory Office, NSTC(字串長度:49)```me_desc---->(字串長度:0)---->CURRENT POSITION/INSTITUTION  Chair, Taiwan AI Center of Excellence(AICoE), NSTC  Chair, Science & Technology Policy Advisory Office, NSTC Professor, National Taiwan University(NTU)  EDUCATION  Ph.D. in Electrical Engineering, UCLA  M.S. in Electrical Engineering, UCLA  B.S. in Electrical Engineering, NTU  PROFESSIONAL EXPERIENCE  Executive Secretary, Board of Science and Technology, Executive Yuan Independent Director, Chunghwa Telecomm  Member of Technical Staff, AT&T Bell Laboratories  RESEARCH AREAS  Science and Technology Policy, AI, Broadband & Wireless Networking (字串長度:577)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6108,'2023-08-30 13:49:08',36,'name---->TBD-36(字串長度:6)---->林明仁(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ming-Jen Lin(字串長度:12)```talk_title---->(字串長度:0)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```company---->(字串長度:0)---->National Taiwan University (NTU)(字串長度:32)```position---->(字串長度:0)---->Distinguished Professor, Department of Economics(字串長度:48)```me_desc---->(字串長度:0)---->•台大經濟系特聘教授   Distinguished Professor, Department of Economics, National Taiwan University  •國科會科技辦公室　副執行秘書   Deputy Executive Director, Office of Science and Technology Policy  •台灣經濟學會理事長   President, Taiwan Economic Association    •亞澳勞動經濟學會常務理事   Executive Board Member, Asian and Australasian Society of Labour Economics (AASLE)     •東亞經濟學會常務理事   Board of Directors, East Asian Economic Association  •Research Interests:   Data Science and Economics, Demography and Health, Law and Economics (especially crime), Labor Economics (especially Internal Labor Markets)(字串長度:687)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6109,'2023-08-30 13:49:08',37,'name---->TBD-37(字串長度:6)---->陸忠立(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Allen Lu(字串長度:8)```talk_title---->(字串長度:0)---->Mobile AI Evolution – Trend and Challenge(字串長度:43)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Mediatek(字串長度:8)```position---->(字串長度:0)---->Senior Director (字串長度:16)```company2---->(字串長度:0)---->Compute and Artificial Intelligence Department (字串長度:47)```me_desc---->(字串長度:0)---->Dr. Allen Lu, Senior Director, MediaTek Inc.  Dr. Lu is the Senior Director of Computing and Artificial intelligence Technology Group at MediaTek. He is responsible for the ML/DL algorithm/tool development for mobile phone, camera, tablet, and TV products.  Prior to MediaTek, Dr. Lu served as the General Manager of Video IoT (iVoT) Business Unit at Novatek. He was responsible for business and technology planning and execution.  Prior to Novatek, Dr. Lu funded Afatek, a fabless company developing RF, digital modulator, and demodulator chips.  Afatek was acquired by iTE in 2008. Dr. Lu worked in Silicon Valley from 1997-2002. He joined the Excess Bandwidth Corp. specializing in signal processing.  Excess Bandwidth Corp. was acquired by Virata Corp (now Conexant) in 2000.  Dr. Lu was a member of technical staff at Hewlett Packard prior to Excess Bandwidth.       Dr. Lu received his M.S. and Ph.D. in Electrical Engineering from Stanford University.  (字串長度:960)```talkfile_link---->簡報37(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6110,'2023-08-30 13:49:08',38,'name---->TBD-38(字串長度:6)---->郭秉宸(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Benjamin Kuo (字串長度:13)```talk_title---->(字串長度:0)---->Closing Remarks(字串長度:15)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Taiwan AI Academy(字串長度:17)```position---->(字串長度:0)---->Vice President for Industry-Academia Collaboration(字串長度:50)```me_desc---->(字串長度:0)---->郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任: KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長 : 產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:1155)```talkfile_link---->簡報38(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6111,'2023-08-30 13:49:08',39,'name---->TBD-39(字串長度:6)---->李宏毅(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Hung-yi Lee(字串長度:11)```talk_title---->(字串長度:0)---->Towards a Speech Version of ChatGPT(字串長度:35)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Taiwan University (NTU)(字串長度:32)```position---->(字串長度:0)---->Associate Professor, Department of Electrical Engineering(字串長度:57)```desc---->(字串長度:0)---->Over the past few months, the capabilities of large language models (LLM) like ChatGPT have sparked widespread discussion. They possess a general processing ability, and they can often accomplish the desired tasks with the right instructions. Speech, teeming with rich and hierarchical information, offers different needs for diverse tasks. How far are we from the speech version of ChatGPT? What are we still missing for the birth of the speech ChatGPT? In this talk, I will share a series of the latest research findings in speech LM that could potentially lead us to the speech version of ChatGPT and discuss current challenges and potential solutions.(字串長度:655)```me_desc---->(字串長度:0)---->Hung-yi Lee (李宏毅) is a professor of the Department of Electrical Engineering of National Taiwan University (NTU), with a joint appointment at the Department of Computer Science & Information Engineering of the university. His recent research focuses on developing technology that can reduce the requirement of annotated data for speech processing and natural language processing. He won Salesforce Research Deep Learning Grant in 2019, AWS ML Research Award in 2020, Outstanding Young Engineer Award from The Chinese Institute of Electrical Engineering in 2018, Young Scholar Innovation Award from Foundation for the Advancement of Outstanding Scholarship in 2019, Ta-You Wu Memorial Award from Ministry of Science and Technology of Taiwan in 2019, and The 59th Ten Outstanding Young Person Award in Science and Technology Research & Development of Taiwan. He owns a YouTube channel teaching deep learning in Mandarin with about 160k Subscribers.(字串長度:952)```talkfile_link---->簡報39(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6112,'2023-08-30 13:49:08',40,'name---->TBD-40(字串長度:6)---->楊佳玲(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Chia-Lin Yang(字串長度:13)```talk_title---->(字串長度:0)---->Memory-centric Design in the AI Era(字串長度:35)```company---->(字串長度:0)---->National Taiwan University (NTU)(字串長度:32)```position---->(字串長度:0)---->Dept. of Computer Science and Information Engineering, Professor(字串長度:64)```me_desc---->(字串長度:0)---->▍現職 國家科學及技術委員會　科技辦公室　副執行秘書 國立臺灣大學資訊工程學系　教授  ▍經歷 台達臺大聯合研發中心　主任 國立臺灣大學　資訊網路與多媒體研究所　所長 國立臺灣大學　資訊工程學系　助理教授、副教授  ▍學歷 杜克大學計算機科學　博士 德州大學奧斯汀計算機科學　碩士 臺灣師範大學資訊教育系　學士(字串長度:441)```talkfile_link---->簡報40(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6113,'2023-08-30 13:49:08',41,'name---->TBD-41(字串長度:6)---->陳佩君(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Trista Chen(字串長度:11)```company---->(字串長度:0)---->Microsoft Taiwan(字串長度:16)```position---->(字串長度:0)---->Director, AI Research Center(字串長度:28)```me_desc---->(字串長度:0)---->Trista is an AI scientist and tech executive. As the Director of the AI Research Center at Microsoft, her research focuses on computer vision, multimodal large language models, and health AI. Trista has published over 30 top-tier journals and conference publications and holds/filed 110 patents. Her research is internationally recognized, including winning the world championship in the USAID Intelligent Forecasting Competition for advancing the health of people in the Ivory Coast and receiving the CVPR workshop best paper award. Prior to joining Microsoft, Trista held leadership positions at Inventec, Intel, and Nvidia and successfully led two startups from incubation to acquisition. As the Chief AI Officer at Inventec, she led the team to obtain one of Taiwan’s first ISO-13485-based QMS for a novel AI Software as a Medical Device (SaMD) based on her original medical research. She also helped Inventec develop the industry’s first computer vision inspection system and innovate its supply chain with USAID world championship technology. At Intel, Trista facilitated the development of OpenCV - the world’s most widely adopted computer vision software with over 18 million downloads as of 2021. At Nvidia, she architected Nvidia\'s first video processor. Trista holds a Ph.D. from Carnegie Mellon University and an M.S. and B.S. from National Tsing-Hua University.(字串長度:1380)```talkfile_link---->簡報41(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6114,'2023-08-30 13:49:08',42,'name---->TBD-42(字串長度:6)---->簡宏偉(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Howard Jyan(字串長度:11)```talk_title---->(字串長度:0)---->Establish of Trustworthy AI: Opportunities and Challengs(字串長度:56)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Deloitte & Touche(字串長度:17)```position---->(字串長度:0)---->Partner, Risk Advisory(字串長度:22)```me_desc---->(字串長度:0)---->Howard Jyan is the Partner of Risk Advisory Services at Deloitte. He specialized in Cyber security, network security, ISMS audits, regulation of cyber security, information security governance, workflow transformation, and organizational transformation. He also has extensive experience in public sector information practices and cross-agency coordination. (字串長度:357)```talkfile_link---->簡報42(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6115,'2023-08-30 13:49:08',43,'name---->TBD-43(字串長度:6)---->劉嘉凱(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Chia-Kai Liu(字串長度:12)```talk_title---->(字串長度:0)---->Building Trustworthy Digital Twins of Organizations: A Process-Oriented Experiment(字串長度:82)```company---->(字串長度:0)---->DSP, Inc.(字串長度:9)```position---->(字串長度:0)---->CEO(字串長度:3)```desc---->(字串長度:0)---->Digital twins of organizations (DTOs) can be used to model, simulate, and analyze various scenarios, enabling organizations to identify bottlenecks, inefficiencies, and opportunities for improvement. However, building trustworthy DTOs is challenging, as they must be reliable, robust, fair, ethical, transparent, and explainable.   This presentation will discuss the challenges and opportunities of building trustworthy DTOs. We will present the early results of a life-critical use case experiment, in which we created a digital twin prototype, with the objectives of being not only accurate but also dependable. We will discuss how this innovation can be used to transforms decision-making, risk assessment, and predictive modeling in crucial contexts. (字串長度:755)```me_desc---->(字串長度:0)---->Chia-Kai Liu is the CEO of DSP, Inc.,  a consulting firm specializing in leveraging artificial intelligence to transform business and public sector operations. He is also the co-founder of Data for Social Good, a philanthropic platform fostering collaboration among governmental bodies, non-profits, and data experts to accelerate social innovation. Mr. Liu is a strong advocate for data-driven decision-making, advancing the cause of sustainable development objectives.(字串長度:470)```talkfile_link---->簡報43(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6116,'2023-08-30 13:49:09',47,'name---->TBD-47(字串長度:6)---->趙佑錫(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Erick Chao(字串長度:10)```talk_title---->(字串長度:0)---->The Evolution of AI in Chip Design(字串長度:34)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Cadence Design Systems(字串長度:22)```position---->(字串長度:0)---->Sr Software Architect (字串長度:22)```company2---->(字串長度:0)---->ML INFRA(字串長度:8)```me_desc---->(字串長度:0)---->With 23 years of extensive experience in IC design, implementation, and EDA development, I have a profound understanding of user requirements and software development in Electronic Design Automation (EDA). My journey in AI/ML began with graduation from the 1st Hsinchu manager class at Taiwan AI Academy (AIA). At the same time, I assumed a role as a ML architect within a top number 1 IC fabless company in Taiwan. Transitioning to Cadence Design Systems, I took the role of leading RD team in both Hsinchu and Shanghai. My perspective is all-encompassing, spanning from that of an adept end-user to that of a contributor to EDA solution development empowered by AI/ML technologies. At present, I am entrusted with the leadership of one of Cerebrus RD teams, a division responsible for the AI-driven production within Cadence Design Systems.(字串長度:842)```talkfile_link---->簡報47(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6117,'2023-08-30 13:49:09',48,'name---->TBD-48(字串長度:6)---->唐文力(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Luba Tang(字串長度:9)```talk_title---->(字串長度:0)---->Neural-network Processing Unit Hardware-software Co-design IP (字串長度:62)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Skymizer(字串長度:8)```position---->(字串長度:0)---->CEO(字串長度:3)```desc---->(字串長度:0)---->Large language models (LLMs) have become an increasingly prominent feature in various computing platforms, such as data centers, smartphones, and microcontrollers. As such, their potential applications in both human-to-machine interfaces (HMIs) and machine-to-machine interfaces (M2MI) have been extensively studied and discussed. However, implementing hyper-scale LLMs on heterogeneous multicore System-on-Chips (SoCs) poses significant challenges. In this talk, we will discuss the key challenges, including issues related to hardware/software interfaces, verification, and SoC architecture exploration. At the end of this talk, we will propose a practical workflow and corresponding solutions we’ve applied in many cases. And see how our standard tool - ONNC - is used in the workflow.  大型語言模型（LLM）已成為各種計算平台（例如資料中心、智慧型手機和微控制器）中日益突出的功能。因此，它們在人機介面（HMI）和機器對機器介面（M2MI）中的潛在應用已被廣泛研究和討論。然而，在異質多核晶片上系統（SoC）上實現大型語言模型（LLM）面臨著重大挑戰。在本次演講中，我們將討論關鍵挑戰，包括與硬體/軟體介面、驗證和SoC架構探索相關的問題。在本次演講的最後，我們將提出一個實用的架構以及我們在許多案例中應用的解決方案。並了解我們的標準工具 - ONNC - 如何在架構中使用。(字串長度:1467)```me_desc---->(字串長度:0)---->Luba Tang is the founder and CEO of Skymizer Taiwan Inc., which is in the business of providing system software to IC design teams. Skymizer’s system software solutions enable AI-on-Chip design houses to automate AI application development, improve system performance, and optimize inference accuracy. Luba Tang’s research interests include electronic system level (ESL) design, system software, and neural networks. He had focused on iterative compilers, ahead-of-time compilers, link-time optimization, neural network compilation, and neural network optimization. His most recent work focuses on exploiting various types of parallelism from different accelerators in a hyper-scale system-on-chip. (字串長度:703)```talkfile_link---->簡報48(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6118,'2023-08-30 13:49:09',49,'name---->TBD-49(字串長度:6)---->邱銘彰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Jeremy Chiu(字串長度:11)```talk_title---->(字串長度:0)---->Unleashing the Cyber Magic: The Future of Blue Team Defense\r(字串長度:60)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->CyCraft(字串長度:7)```position---->(字串長度:0)---->Founder(字串長度:7)```desc---->(字串長度:0)---->As a blue team on the defense side, we approach cybersecurity with different perspectives compared to the red team. Our considerations go beyond accuracy in handling large-scale data; we also prioritize compliance with government cybersecurity regulations, response time, and cost-effectiveness. Throughout our journey, our team has extensively researched using Machine Learning automation in the investigation of large-scale cybersecurity incidents. We have integrated AI into various analytical aspects, from endpoint event correlation and Cmdline analysis using CmdGPT to an AI virtual analyst that automatically generates forensic reports.  Starting last year, we introduced a new generation of large-scale language models into our blue team AI assistant, enabling automated cybersecurity incident handling and case management. In this presentation, we will share our practical experiences and exclusive insights on how cybersecurity teams can leverage AI effectively, along with showcasing real-life case studies.  作為防禦方的藍隊有許多與紅隊切入角度不同的思維，不但需要考慮到大規模資料量下的準確度，為了符合政府的資安規範，也更加注重反應時間與成本。一直以來，我們團隊對於大規模的資安事件，在調查中使用 Machine learning 自動化方法做了許多研究，將 AI 導入到各個分析面向，從端點事件關聯、分析 Cmdline 的 CmdGPT，以及 AI 虛擬分析師自動產生鑑識報告，而到去年開始，我們為藍隊 AI 助手導入了新一代的大型語言模型，以進行自動資安事件處理與自動案件管理。這場演講中，將透過我們的實務經驗，獨家分享資安團隊該如何正確使用 AI，並分享實際的案例。(字串長度:1771)```me_desc---->(字串長度:0)---->Founder of CyCraft, with over 15 years of expertise in cybersecurity research, actively engaged in Taiwan\'s cybersecurity technology community. Specializing in developing automated analysis systems, hacker activity analysis, malicious program analysis, and machine learning algorithms. Has presented professional cybersecurity research at various internationally renowned conferences such as Black Hat, DEFCON, SyScan, HITCON, FIRST, AVTokyo, HTICA, OWASP Asia, and iThome CYBERSEC. Proficient in delivering humorous and lively speeches to impart cybersecurity knowledge.  As a prominent serial entrepreneur in Taiwan\'s cybersecurity industry, co-founded the first startup dedicated to developing APT defense products in 2011 with Wu Ming-wei (Benson). In 2014, the company received recognition and acquisition from an Israeli cybersecurity company listed on the NASDAQ. Currently, the CyCraft team focuses on the integration of artificial intelligence and cybersecurity technology.  CyCraft 創辦人，超過 15 年的資安技術研究專家，活耀於台灣的資安技術社群，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司，並在 2014 年受到美國 NASDAQ 的以色列資安公司肯定與併購。目前創辦的 CyCraft 團隊則專注在人工智慧與資安科技領域的結合上。(字串長度:1761)```talkfile_link---->簡報49(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6119,'2023-08-30 13:49:09',50,'name---->TBD-50(字串長度:6)---->黃俊穎(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Chun-Ying Huang(字串長度:15)```talk_title---->(字串長度:0)---->Generative AI: Challenges and Opportunities for System Security(字串長度:63)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Yang Ming Chiao Tung University(字串長度:40)```position---->(字串長度:0)---->Institute of Network Engineering / Director(字串長度:43)```desc---->(字串長度:0)---->In recent years, generative AI technology has shown impressive performance in various fields such as images, videos, speech, and text. With the maturation of these technologies, many industries have begun adopting generative AI techniques to reduce the human resource costs required for technical development. This includes tasks related to software development and security analysis. In this presentation, we will introduce how generative AI technology is utilized to assist in applications related to software development and security analysis. We will also discuss the risks and challenges that may arise from the integration of AI. 近年來生成式AI技術在影像、視訊、語音、文字等領域都有讓人驚豔的表現。而隨著技術發展的成熟，許多產業也開始導入生成式AI的技術，以降低技術開發所需的人力成本，這也包括軟體開發和安全分析相關工作。在這個分享裡，我們將介紹軟體開發和軟體安全分析相關應用如何運用AI技術進行輔助，以及導入AI可能會遇到的風險和挑戰。(字串長度:1085)```me_desc---->(字串長度:0)---->Dr. Chun-Ying Huang is a Professor at the Department of Computer Science, National Yang Ming Chiao Tung University (NYCU). Dr. Huang\'s research interests fall in the areas of system security and multimedia networking. He also served as PIs or co-PIs of several teaching, research, and industrial projects in network and system security areas, including the information security incubation program (ISIP and AIS3) from the Ministry of Education (MoE) and Taiwan information security center program (TWISC) at NYCU from the Ministry of Science and Technology (MOST). Dr. Huang received ACM Taipei/Taiwan Chapter K. T. Li Young Researcher Award in 2014, MOST Excellent Young Scholar Grants in 2021, and NCTU/NYCU excellent teaching awards in 2020 and 2021. He currently serves as the Director of the Institute of Network Engineering at National Yang Ming Chiao Tung University.(字串長度:874)```talkfile_link---->簡報50(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6120,'2023-08-30 13:49:09',53,'name---->TBD-53(字串長度:6)---->李彥樞(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->YAN LEE(字串長度:7)```talk_title---->(字串長度:0)---->Investment Trends in Generative AI(字串長度:34)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->HIVE VENTURES(字串長度:13)```position---->(字串長度:0)---->Founder and Managing Partner(字串長度:28)```me_desc---->(字串長度:0)---->Yan Lee is the Founder and Managing Partner at Hive Ventures - a Taiwan-focused global seed to early stage venture capital firm, with a focus on artificial intelligence (AI) and Internet of Things (IoT) and its applications. He brings his strong past experience as an entrepreneur in the fields of Big Data and AI to offer strategic support to Hive Ventures’ portfolio companies. Yan is a passionate venture builder and aims to support top talents in Taiwan to foster its next wave of unicorn technopreneurs.  Yan was the Founder and CEO of Buzzinate, a leading Big Data platform and service provider in China that merged with iClick in 2014. He played a central role in Buzzinate’s success, which led him to be included in Forbes’ “30 under 30 Entrepreneurs of China\'\' in 2012 as well as Campaign Asia’s “40 under 40” in 2018. Yan went on to become the Chief Product Officer and Head of International Business of iClick Interactive (Nasdaq: ICLK), where he spearheaded product innovations and drove business growth globally.  Yan holds an MBA from the China Europe International Business School (CEIBS) in Shanghai. He is also an alumnus of the London Business School (LBS) and National Chengchi University (NCCU) in Taiwan.(字串長度:1239)```talkfile_link---->簡報53(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6121,'2023-08-30 13:49:09',54,'name---->TBD-54(字串長度:6)---->張榮貴(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->James Chang(字串長度:11)```talk_title---->(字串長度:0)---->Redefining Customer Service in the Generative AI Era(字串長度:52)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->AI3 Co.(字串長度:7)```position---->(字串長度:0)---->Chaiman(字串長度:7)```desc---->(字串長度:0)---->數位轉型下的客戶服務 Digital Transformation and Its Impact on Customer Service  整合GPT的智能機器人 Chatbot Empowered by GPT Integration  對話式知識管理是最佳服務助理 Conversational KM is the Best Service Assistant(字串長度:246)```me_desc---->(字串長度:0)---->30幾年軟體開發經驗、30年CTI/CRM技術整合應用發展實務經驗，主要成就有CRM、Contact Center產品開發、電話服務中心系統整合開發、AI服務機器人開發、輿情分析系統、服務大數據分析…等。專精於CRM服務流程與服務架構之資訊技術整合，為企業服務提出完整智慧服務流程與資訊架構。\r     近年專注於大數據與人工智慧技術，應用於CRM與客戶服務領域，發展自然語言處理技術(NLP)，開發AI服務機器人、輿情分析系統、服務數據分析、對話式商務、法遵系統…等智慧應用。2017年至今擔任中華軟協AI大數據智慧應用促進會會長，推動產業AI智慧應用發展，促使產業AI化、AI產業化。2022年擔任中華軟協元宇宙發展促進會，持續推動新興科技與產業融合，發展新應用。(字串長度:872)```talkfile_link---->簡報54(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6122,'2023-08-30 13:49:09',55,'name---->TBD-55(字串長度:6)---->何建幟(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ernie Ho(字串長度:8)```talk_title---->(字串長度:0)---->The Rise of AI Agents: A Virtual Workforce Available 24/7(字串長度:57)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->HelperAI & Chainsight(字串長度:21)```position---->(字串長度:0)---->Cofounder & CEO(字串長度:15)```me_desc---->(字串長度:0)---->Ernie Ho, an alumnus of Carnegie Mellon University and MIT, is the co-founder and CEO of HelperAI & Chainsight, with a focus on AI applications and innovation. He formerly worked as an AI engineer at Uber’s Self-Driving Center. In 2020, he cofounded Chainsight, an AI-powered platform for blockchain transaction risk analysis, which has been recognized by G20, BIS, governments of US-Japan-Singapore, and Trend Micro. In 2022, he established HelperAI, creating AI agents for major corporations - an 24/7 virtual team that automates customer service and sales processes to boost business productivity. His firm has been invested by Y Combinator, Franklin Templeton, and Samsung.  何建幟（Ernie Ho），美國卡內基美隆大學及麻省理工學院校友，HelperAI & Chainsight共同創辦人兼CEO，專注於AI應用與創新，曾任職Uber自動駕駛中心。2020年成立Chainsight，利用AI模型打造區塊鏈交易風險分析平台，榮獲G20、國際清算銀行、美日星政府與趨勢科技等認證。2022年成立HelperAI，為多家大型企業打造AI代理人 - 全年無休的虛擬團隊，自動化客服與銷售流程，加速提升企業生產力，目前已獲矽谷頂尖加速器Y Combinator、美國富蘭克林、三星集團等國際知名機構投資。(字串長度:1298)```talkfile_link---->簡報55(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6123,'2023-08-30 13:49:09',56,'name---->TBD-56(字串長度:6)---->郭昶甫(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Kuo,Chang-Fu(字串長度:12)```talk_title---->(字串長度:0)---->The Role of Artificial Intelligence in Clinical Decision-making(字串長度:63)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Chang Gung Memorial Hospital, Linkou(字串長度:36)```position---->(字串長度:0)---->Center for Artificial Intelligence in Medicine,Director(字串長度:55)```me_desc---->(字串長度:0)---->Dr. Chang-Fu Kuo, a distinguished rheumatologist, and physician-scientist, has been committed to research in rheumatology, epidemiology, genetic epidemiology, and health policy. A previous recipient of the 2019 Ministry of Science and Technology\'s Outstanding Research Award, Dr. Kuo has continuously pursued breakthroughs in healthcare, particularly exploring artificial intelligence applications, bolstered by clinical trials and Taiwan Food and Drug Administration (TFDA) accreditation. Dr. Kuo uses an interdisciplinary approach to address complex clinical and epidemiological issues affecting vast populations. His published research, often referenced in international guidelines, covers wide-ranging aspects of rheumatic diseases. Dr. Kuo\'s research, consistently published in high-impact academic journals, increasingly highlights societal impacts, real-world clinical applications, and potential commercialization. His collaborations with globally recognized research groups further attest to his influence in the field. The University of Nottingham has repeatedly honored him as an \'Honorary Associate Professor\' for his exceptional contributions, and Chang Gung University honored him as Extinguished Alumni.(字串長度:1218)```talkfile_link---->簡報56(字串長度:8)---->x(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6124,'2023-08-30 13:49:09',57,'name---->TBD-57(字串長度:6)---->張詠淳(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Yung-Chun Chang(字串長度:15)```talk_title---->(字串長度:0)---->The Future is Here - Unlocking the Potential of Clinical Data with NLP(字串長度:70)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Graduate Institute of Data Science, Taipei Medical University(字串長度:61)```position---->(字串長度:0)---->Associate Professor(字串長度:19)```company2---->(字串長度:0)---->Office of Data Science, Taipei Medical University(字串長度:49)```position2---->(字串長度:0)---->Deputy Chief Data Officer(字串長度:25)```desc---->(字串長度:0)---->In this talk, we will delve into the remarkable advancements in Natural Language Processing (NLP) and their transformative potential in the realm of clinical data analysis. The field of medical imaging has seen tremendous growth, and one of the key challenges lies in translating radiomics features into actionable insights. Firstly, we will explore a groundbreaking approach that addresses this challenge by automatically generating Lung-RADS reports from low-dose lung CT scans. By leveraging the power of deep learning to construct a multi-objective framework, we have advanced the extraction of essential information to aid in the accurate diagnosis of lung abnormalities. Moving beyond medical imaging, pathology reports play a crucial role in guiding treatment decisions, particularly in lung cancer cases. We will investigate how Generative Pre-trained Transformers (GPT) can extract vital features from pathology reports, enabling the identification of key indicators for effective lung cancer treatment. By harnessing the capabilities of GPT, we unlock a wealth of information buried within textual data, enhancing the precision of personalized therapies.\r \r Moreover, advanced lung cancer requires comprehensive decision support systems. Deep learning-based techniques offer immense potential in this domain by automating the extraction of key features from pathology reports. By integrating these extracted features into a decision support system, we empower clinicians with valuable insights, aiding in the development of tailored treatment plans and ultimately improving patient outcomes. Throughout this presentation, we will witness how NLP, combined with deep learning methodologies, revolutionizes the analysis of clinical data. By bridging the gap between unstructured text and actionable knowledge, we unlock the full potential of clinical data and propel us into an era where diagnoses are more accurate, treatments are more personalized, and patient care is optimized.\r \r Together, let us embark on a journey that demonstrates how NLP is shaping the future of healthcare, forging a path towards a world where the integration of technology and medicine empowers us to extend the potential of clinical data like never before. The future is indeed here, and it is through the fusion of NLP and clinical data that we shall explore its boundless possibilities.(字串長度:2376)```me_desc---->(字串長度:0)---->Dr. Yung-Chun Chang is a renowned expert in the fields of text mining, natural language processing (NLP), and the associated technologies of machine learning and linguistic recognition. He excels in harnessing these technologies to address challenges across diverse domains, with a primary focus on intelligent healthcare, bioinformatics, business intelligence, and language comprehension. In 2016, Dr. Chang received accolades for his exceptional contributions to research, notably the Outstanding Postdoctoral Research Award from Academia Sinica and the Doctoral Dissertation Award from the Computational Linguistics Society. In 2017, he joined the faculty of Taipei Medical University, where he has since published numerous papers in top-tier international journals and conferences, such as ACL and TKDE.    Passionate about pedagogy, Professor Chang has repeatedly been recognized for his teaching excellence, earning both campus-wide Outstanding Teacher and Distinguished New Faculty awards. Furthermore, he is deeply committed to student mentorship and guidance. His students have achieved commendable results in various international competitions. Noteworthy accolades include a first-place finish in the 2023 NTCIR International Information Retrieval Competition, a second-place finish in the 2022 BioCreative International Biomedical Literature Automated Mining Competition, and a gold award at the Taiwan AI EXPO.   張詠淳博士專精於文字探勘與自然語言處理以及相關的機器學習與語言辨識技術，擅長將這些技術應用於解決不同領域的問題，主要研究領域為智慧醫療、生物資訊、商業智慧以及語言理解。張教授在2016年曾榮獲中研院博士後傑出研究獎以及計算語言學會博士論文獎。於2017年至臺北醫學大學從事教職，近年發表多篇國際頂尖期刊與會議論文。張教授熱愛教學，不僅屢獲校級優良教師、新進優良教師等教學獎項，更致力於學生的培育和指導。在多項國際競賽中獲得優異成績，包括2023年NTCIR國際資料檢索競賽第一名、2022年BioCreative國際生醫文獻自動探勘競賽第二名，以及Taiwan AI EXPO大賽金獎等。(字串長度:2216)```talkfile_link---->簡報57(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6125,'2023-08-30 13:49:09',60,'name---->TBD-60(字串長度:6)---->林穎俊(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->LIN YING-CHUN(字串長度:13)```talk_title---->(字串長度:0)---->Being a Better Learner with ChatGPT(字串長度:35)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Jhong Shan Elementary School of Yilan County(字串長度:44)```position---->(字串長度:0)---->Section Chief of Information Technology(字串長度:39)```desc---->(字串長度:0)---->How can students become a better learners through ChatGPT? This presentation outlines the implementation of ChatGPT in primary education to facilitate deepening learning. It delves into the application of six evidence-based learning strategies, each coupled with corresponding prompts 如何透過ChatGPT成為更好的學習者，分享內容在於在小學的教學中使用ChatGPT以促進學生更深度的學習進而到依據Evidence-based learning strategies提出的六個學學策略跟對應的prompts以幫助學生成為更好的學習者(字串長度:550)```me_desc---->(字串長度:0)---->林穎俊擔任宜蘭縣中山國小的教師與資訊組長，對於學習與教學充滿熱情。他熱愛與孩子們互動，認為擔任老師是全世界最具意義且充實的職業。他堅信數位學習能夠有效地培養孩子們的協作、溝通、創意以及批判性思考能力，同時為孩子們提供成功自學的契機。(字串長度:348)```talkfile_link---->簡報60(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6126,'2023-08-30 13:49:09',61,'name---->TBD-61(字串長度:6)---->李海碩(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Lee Haishuo(字串長度:11)```talk_title---->(字串長度:0)---->Future-Proofing Humanity: Strategies for Thriving in an AI-Dominated Epoch(字串長度:74)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Wagor International School(字串長度:26)```position---->(字串長度:0)---->Superintendent(字串長度:14)```company2---->(字串長度:0)---->1111 AIGC Innovative Academy(字串長度:28)```position2---->(字串長度:0)---->CEO(字串長度:3)```desc---->(字串長度:0)---->In the rapidly advancing age of Artificial Intelligence, esteemed global institutions have underscored the urgent need for reskilling and upskilling. As we find ourselves at the crossroads of technology and tradition, it becomes crucial to identify sustainable avenues for concerted effort and investment. Synthesizing insights from leading research entities, Haishuo will demystify the essential competencies set to define the AI-centric world. Delve deep as Haishuo showcases cutting-edge AI applications in educational landscapes worldwide and articulates spheres where the human touch remains irreplaceable.The presentation strives to offer an integrative exploration of present-day research, forward-looking perspectives, and the age-old human strengths that promise to endure. Come to the talk for a humble presentation of the intertwining destinies of AI and human resilience - an enlightening engagement, offering tools to chart our course in an AI-augmented future.\r \r 在人工智慧急速發展的時代，世界各大知名機構都強調了重新學習和提升技能的迫切需要。當我們處於技術和傳統的交叉路口，確定可永續投入的方向已變得至關重要。綜整全球各研究機構的洞見，海碩將向您稟報AI為中心世界的核心素養，深入探索全球教育風景中的尖端AI應用，並強調人類知能無可取代的領域。此演講旨在提供現今研究、前瞻性視角和人類亙古知能的綜合探索，期能在變動的時代提供永續發展的力量。請蒞臨本次演講，聆聽AI和人類韌性相互交織的命運的淺見，期能拋磚引玉，共同探討引領在AI增強未來道路上可用的工具。\r(字串長度:1701)```me_desc---->(字串長度:0)---->李海碩長期專注在國際教育、語言教育、與科技教育與創新領域。目前擔任葳格國際學校的總校長與1111生成式AI創新學院的執行長，致力推廣AIGC相關應用。他擁有全民英檢和TOEIC的全數滿分，並且是台灣僅有的五位多益官方講師之一。海碩畢業於國立交通大學教育研究所數位學習組，並正就讀於密涅瓦大學的決策分析碩士(MDA)。在國際演講會曾獲九個台灣全國冠軍和一個亞洲區即席演講冠軍的榮銜，並是台灣首開風氣之先的ChatGPT免費線上課程教師，可彰顯其推動創新和人工智慧教育的決心。  With a sustained focus on international, language, and technological education and innovation, Haishuo Lee serves as the Superintendent of Wagor International School and the CEO of 1111 AIGC Innovation Academy. He is devoted to promoting the application of AIGC. A holder of full scores in GEPT and TOEIC, he is also one of the only five TOEIC Propell Trainers in Taiwan. He graduated from the Digital Learning Division, Institute of Education, National Chiao Tung University and is currently pursuing a Master of Decision Analysis at Minerva University. As a member in Toastmasters International, he has clinched nine national championships in Taiwan and one impromptu speech championship in Asia. He pioneered the first-ever free online ChatGPT course in Taiwan, underscoring his commitment to driving innovation and AI education.(字串長度:1488)```talkfile_link---->簡報61(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6127,'2023-08-30 13:49:09',62,'name---->TBD-62(字串長度:6)---->巫勇賢(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Yung-Hsien Wu(字串長度:13)```talk_title---->(字串長度:0)---->Impact of Generative Artificial Intelligence on Higher Education(字串長度:64)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->National Tsing Hua University(字串長度:29)```position---->(字串長度:0)---->Office of Academic Affairs/Vice President for Academic Affairs(字串長度:62)```desc---->(字串長度:0)---->With the rise of ChatGPT, Generative Artificial Intelligence (Generative AI) has gradually garnered attention from various fields. Many professors both domestically and internationally have attempted to utilize ChatGPT to answer university exam questions and have been pleasantly surprised by the promising results achieved. According to a recent report from EDUCASE, approximately thirty percent of university professors hold a pessimistic attitude towards Artificial Intelligence in General (AIGC), with over half of them being unaware of how students use AI. What impacts might Generative AI have on higher education? What roles could AIGC play in admissions, teaching, and research within higher education, and what potential disruptions might occur?\r(字串長度:755)```me_desc---->(字串長度:0)---->Dr. Wu received the BS degree in electrical engineering from National Tsing Hua University (NTHU) in 1996, and the PhD degree in electronics engineering from National Chiao Tung University (NCTU) in 2000, both in Taiwan. During 2000-2005, he was with ProMOS Technologies (茂德科技, DRAM manufacturers) where he was engaged in advanced process development and earned the individual IP award in 2002 and 2003 for the contribution in patent proposal.  In 2005, he joined NTHU as an Assistant Professor. He was promoted to Associate Professor and Professor in 2009 and 2012 respectively. He received many awards including the “Young Faculty Research Award (新進人員研究獎)”, “Excellent Teaching Award (傑出教學獎)” and “Outstanding Mentor Award (傑出導師獎)” granted by NTHU. In 2015, he was conferred with the title of “NTHU Distinguished Professor (清華特聘教授)” for his outstanding contribution in teaching and mentoring young talents. He was awarded \"Outstanding Young Scholar Research Grant\" twice by National Science and Technology Council (NSTC) in 2012 and 2019 (2次國科會優秀年輕學者計畫). He was also bestowed “Lifetime Achievement Award (國際傑出發明家發明終身成就獎)” by Taiwan International Invention Award Winners Association in 2016. He was the recipient of “Excellent Electrical Engineer Professor Award (中國電機工程學會傑出電機工程教授獎)” in 2021 by Chinese Institute of Electrical Engineering. In addition, he was bestowed “Excellent Project Award (優良計畫獎)” by Atomic Energy Council (原子能委員會) in 2022 and 2023. Currently, he is an IET Fellow (Institution of Engineering and Technology, 國際工程技術學會會士) and IEEE Senior member (Institute of Electrical and Electronics Engineers). He is committed to exploring the boundaries of next-generation ferroelectric memory devices and VLSI technologies by developing novel materials and innovative structures. He has published 65 SCI papers, several prestigious conference papers including IEDM and Symp. VLI Technology in the past 10 years (the 2nd highest-ranked team in Taiwan in terms of publishing papers in renowned IEEE Electron Device Letters). He also holds 42 patents (Taiwan, US, German, Korea, China) and has authored 1 book chapter. Furthermore, the students he mentored have won many national-wide research-based awards including “Technology Scholarship (中技社科技獎學金) ” from China Technical Consultants Inc. (CTCI) Foundation in consecutive 5 years (2018-2022), “Semiconductor Award (台灣半導體產業協會半導體獎)” from Taiwan Semiconductor Industry Association (TSIA) in 2019/2020/2023, “College Student Research Creativity Award (國科會大專學生研究創作獎)” from NSTC in 2019, “TSMC PhD student fellowship (台積電獎學金)” and “Scholarship for Outstanding PhD Students (國科會優秀博士生獎學金)” from NSTC (one of highest student scholarships provided by the government and industry in Taiwan), both in 2020.        In addition, he has held some administrative positions at Office of Academic Affairs in NTHU including Division Chief of Center for Teaching and Learning Development, Director of Chinese Language Center, Director of Center for Continuing Education during 2010-2016. From 2015- 2021, he served as the Chairman of Interdisciplinary Program (undergraduate department) of College of Nuclear Science, Associate Vice President for Student Affairs, Chairman of Department of Engineering and System Science. From 2020-2022, he also served as the Associate Vice President for Academic Affairs. Since 2022, he has been the Vice President for Academic Affairs of NTHU.(字串長度:3749)```talkfile_link---->簡報62(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6128,'2023-08-30 13:49:09',63,'name---->TBD-63(字串長度:6)---->林勤富(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ching-Fu Lin(字串長度:12)```talk_title---->(字串長度:0)---->Forms, Substances, and Challenges of the Transparency Principle in Algorithmic Governance (字串長度:90)```company---->(字串長度:0)---->National Tsing Hua University(字串長度:29)```position---->(字串長度:0)---->Professor, Institute of Law for Science and Technology(字串長度:54)```company2---->(字串長度:0)---->National Tsing Hua University(字串長度:29)```position2---->(字串長度:0)---->Director, Interdisciplinary Program of Management and Technology(字串長度:64)```me_desc---->(字串長度:0)---->Ching-Fu Lin is Professor at Institute of Law for Science and Technology and Director of Interdisciplinary Program of Mangement and Technology, National Tsing Hua University (NTHU), where he teaches international law and global governance, law and technology, and artificial intelligence law and policy.  Professor Lin received his LL.M. and S.J.D. from Harvard Law School, with the honor of John Gallup Laylin Memorial Prize and Yong K. Kim Memorial Prize.    He also holds a double degree in law (LL.B.) and chemical engineering (B.S.) from National Taiwan University.  Professor Lin has served as Visiting Researcher at Berkman Klein Center for Internet and Society at Harvard University, Visiting Scholar at the Allens Hub for Technology, Law and Innovation at UNSW Sydney, as well as Visiting Fellow at Graduate Institute of International and Development Studies in Geneva.  In 2019, Professor Lin was appointed to serve on the Board of Trustees of the Academy of Food Law and Policy, United States.  In 2023, he was elected to serve as Vice Chair of the International Law and Technology Interest Group (ILTechIG) of the American Society of International Law.  Active in legal academia, Professor Lin has been invited to talk in many academic/practical settings, and his legal scholarship has appeared in leading journals and edited collections.  Professor Lin has received the Junior Research Award, Outstanding Research Award of Hou De Association, and CTM Research Award from NTHU as well as the Ta-You Memorial Award from Taiwan’s Ministry of Science and Technology. (字串長度:1578)```talkfile_link---->簡報63(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6129,'2023-08-30 13:49:09',64,'name---->TBD-64(字串長度:6)---->陳舜伶(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Shun-Ling Chen(字串長度:14)```talk_title---->(字串長度:0)---->Government Data Management - Lessons from the US Evidence Act and Beyond(字串長度:72)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->Associate Research Professor, Institutum Iurisprudentiae(字串長度:56)```company2---->(字串長度:0)---->Academia Sinica(字串長度:15)```position2---->(字串長度:0)---->Co-director, Information Law Center, Institutum Iurisprudentiae(字串長度:63)```me_desc---->(字串長度:0)---->▍Education & Experiences S.J.D., Harvard Law School (2013) LL.M., Harvard Law School (2005) LL.M., National Taiwan University (2002) LL.B., National Taiwan University (1999)  ▍Research Fields Science and technology studies; Information and society; Online collaborations, Intellectual property; Indigenous peoples\' law and policy, Indigenous rights(字串長度:352)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6130,'2023-08-30 13:49:09',67,'name---->TBD-67(字串長度:6)---->張嘉淵(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Ted Chang(字串長度:9)```talk_title---->(字串長度:0)---->Prompting The Future: Transforming Medicine through Generative AI(字串長度:65)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Quanta Computer(字串長度:15)```position---->(字串長度:0)---->CTO(字串長度:3)```desc---->(字串長度:0)---->Medicine, a discipline rooted in centuries of knowledge and practice, is  now at the brink of one of its most transformative phases, spurred by the  rise of generative AI. This speech delves into this impending revolution,  shedding light on how artificial intelligence is poised to reshape our  healthcare paradigms from the perspective of Quanta Computer, a  leading AI platform provider for smart medicine and digital health. From  AI-driven diagnostics that predict with unprecedented accuracy to  personalized treatments tailored to individual genetic imprints, we are  witnessing the dawn of a new era. This discourse not only celebrates the  remarkable innovations that AI promises but also engages in a critical  examination of the challenges and ethical dilemmas it presents. As we  navigate this uncharted territory, the speech emphasizes the need for  synergy between human insight and machine intelligence, ensuring that  the future of medicine is not just technologically advanced but also(字串長度:1002)```me_desc---->(字串長度:0)---->Dr. Ted Chang is a highly accomplished Chief Technology Officer, Vice President and General Manager of Quanta Computer, which is the world’s largest computer ODM and laptop computer maker. He has more than 20 years of experience in leading global corporations and has been instrumental in driving corporate technology strategy and global research partnership. In addition, Dr. Chang is responsible for overseeing the Quanta Research Institute (QRI) for advanced research and BU12, a business unit dedicated to integration of AI, IoT and cloud computing as a platform solution for smart transformation of Heathcare, Medicine and Agriculture. Dr. Chang has been appointed as representatives of Taiwan for APEC Business Advisory Council (ABAC) since 2019. Academically, Dr. Chang holds various guest professorships in the EECS colleges of National Taiwan University (NTU), National Cheng-Kung University (NCKU), Asia University (AU) and the AI college of National Yang-Ming Chao-Tung University (NYCU). He serves as a member of the board for several educational and research foundations, including the Epoch Foundation, Spring Foundation, Quanta Culture and Education Foundation (QCEF), Chinese Medical Advancement Foundation, and Ming Dao Culture and Education Foundation. Among many honors, Dr. Chang recently received the Japan Good Design Best 100 award in 2022, five REDDOT Design Awards on Smart Medicine (2021 and 2022), and IF Design Award on Smart Agriculture in 2021. He was also awarded distinguished alumni awards from both NCKU and Chia-Yi High School in 2021. He led the Quanta-NCTU Joint AI Center to win the CES Innovation Award and WITSA in 2020 Award. He was the chief advisor to the Taiwan Pavilion “Swingphony” at London Design Biennale 2020. Dr. Chang is a prolific inventor with over 220 patents granted globally by Oct. 2022. His invention in 2001, \"\"A Network Object Delivery System for Personal Computing Device,\"\" defined the \"\"Application Module Store.\"\" Dr. Chang joined Quanta in 2000, promoted as VP in 2009 and promoted as the first CTO in Quanta history in 2010. Since 2004, Dr. Chang has led the strategic research collaboration on future computing with MIT Computer Science and Artificial Lab (CSAIL) to support the transformation of Quanta. The partnership started with TParty project on Human Centric Computing, Qmulus Project on Cloud Computing and now on AIM project with focus on AI medicine and computational health. Dr. Chang\'s past projects, One Laptop Per Child (OLPC) and the QRI research model, were published as business cases by Harvard Business School.(字串長度:2603)```talkfile_link---->簡報67(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6131,'2023-08-30 13:49:09',68,'name---->TBD-68(字串長度:6)---->蔡明順(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Richie Tsai(字串長度:11)```talk_title---->(字串長度:0)---->人才破繭生成未來：AIA人才能力認證計畫(字串長度:54)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Taiwan AI Academy(字串長度:17)```position---->(字串長度:0)---->Provost(字串長度:7)```me_desc---->(字串長度:0)---->Richie Tsai is the provost of Taiwan AI Academy and takes overall responsibility for the academy\'s AI talent training, strategy on developing consulting services, startup coaching, technology promotion, community management, industry-university bridging, and career development. Prior to joining Taiwan AI Academy, Richie was Senior Director at SAP Greater China, ever worked for Oracle and Teradata where he helped leading enterprises to navigate their digital transformation. He graduated from Fu Jen Catholic University in 1996 and received his MBA degree from San Diego State Univeristy in 2003. He is pursuitng PhD degree in National Tsing Huwa University.  學歷：清華大學跨院國際博士班 - 智慧製造與數位決策 現職：台灣人工智慧學校 校務長 / 國科會 TAIWAN AICoE 策略委員會委員 / 台灣氣候聯盟 - 綠色與數位科技委員會召集人 專長：AI, Big Data, 數位轉型, SaaS 經歷：20 多年經驗在資訊工程、產品管理、營運、市場 行銷、生態系統培育 • SAP 德商思愛普 大中華區資深副總經理 • Oracle 美商甲骨文 應用軟體部副總經理 • Teradata 美商天睿資訊系統 資深協理(字串長度:1193)```talkfile_link---->簡報68(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6132,'2023-08-30 13:49:09',69,'name---->TBD-69(字串長度:6)---->Lawrence Lessig(字串長度:15)```hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->(字串長度:0)---->AI and the Law(字串長度:14)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Harvard University(字串長度:18)```position---->(字串長度:0)---->Law School(字串長度:10)```me_desc---->(字串長度:0)---->Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. (The Roy Furman chair is in honor of this extraordinary alumnus.)  Prior to rejoining the Harvard faculty, where he was the Berkman Professor of Law until 2000, Lessig was a professor at Stanford Law School, where he founded the school’s Center for Internet and Society, and at the University of Chicago.  Lessig clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court. He serves on the Board of the AXA Research Fund, and is an Emeritus member of the board at Creative Commons.  Lessig is a Member of the American Academy of Arts and Sciences, and the American Philosophical Association, and has received numerous awards, including the Free Software Foundation’s Freedom Award, Fastcase 50 Award.  In 2002, he was named one of Scientific American’s Top 50 Visionaries.  Lessig holds a BA in economics and a BS in management from the University of Pennsylvania, an MA in philosophy from Cambridge, and a JD from Yale.(字串長度:1090)```talkfile_link---->簡報69(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6133,'2023-08-30 13:49:09',70,'name---->TBD-70(字串長度:6)---->蔡宗翰(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Richard Tzong-Han Tsai(字串長度:22)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->Research Fellow (Professor)(字串長度:27)```company2---->(字串長度:0)---->蔡宗翰 研究員 (Academia Sinica)(字串長度:37)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6134,'2023-08-30 13:49:09',71,'name---->TBD-71(字串長度:6)---->張順教(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Shun-Chiao Chang(字串長度:16)```company---->(字串長度:0)---->National Taiwan University of Science and Technology(字串長度:52)```position---->(字串長度:0)---->Professor, Dept. of Business Administration(字串長度:43)```company2---->(字串長度:0)---->張順教 教授 (Taiwan Tech University)(字串長度:41)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6135,'2023-08-30 13:49:09',72,'name---->TBD-72(字串長度:6)---->楊朝棟(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Chao-Tung Yang(字串長度:14)```company---->(字串長度:0)---->Tunghai University(字串長度:18)```position---->(字串長度:0)---->Lifetime Distinguished Professor, Dept. of Computer Science(字串長度:59)```company2---->(字串長度:0)---->楊朝棟 教授 (Tunghai University)(字串長度:37)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6136,'2023-08-30 13:49:09',73,'name---->TBD-73(字串長度:6)---->邱銘傳(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Chiu, Ming-Chuan(字串長度:16)```company---->(字串長度:0)---->National Tsing Hua University(字串長度:29)```position---->(字串長度:0)---->Professor, Dept. Industrial Engineering and Engineering Management(字串長度:66)```company2---->(字串長度:0)---->邱銘傳 教授 (National Tsing Hua University)(字串長度:48)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6137,'2023-08-30 13:49:09',74,'name---->TBD-74(字串長度:6)---->李家岩(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Chia-Yen Lee(字串長度:12)```company---->(字串長度:0)---->National Taiwan University (NTU)(字串長度:32)```position---->(字串長度:0)---->Professor, Dept. of Information Management(字串長度:42)```company2---->(字串長度:0)---->李家岩 教授 (National Taiwan University)(字串長度:45)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6138,'2023-08-30 13:49:09',75,'name---->TBD-75(字串長度:6)---->翁紹仁 (字串長度:10)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Shao-Jen Weng(字串長度:13)```company---->(字串長度:0)---->Tunghai University(字串長度:18)```position---->(字串長度:0)---->Professor, Dept. of Industrial Engineering and Enterprise Informatio(字串長度:68)```company2---->(字串長度:0)---->翁紹仁 教授 (Tunghai University)(字串長度:37)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6139,'2023-08-30 13:49:09',76,'name---->TBD-76(字串長度:6)---->許嘉裕(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Chia-Yu, Hsu(字串長度:12)```company---->(字串長度:0)---->National Taiwan University of Science and Technology(字串長度:52)```position---->(字串長度:0)---->Professor, Dept. of Industrial Management(字串長度:41)```company2---->(字串長度:0)---->許嘉裕 教授 (Taiwan Tech University)(字串長度:41)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6140,'2023-08-30 13:49:09',77,'name---->TBD-77(字串長度:6)---->郭秉宸(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->(字串長度:0)---->Benjamin Kuo (字串長度:13)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Taiwan AI Academy(字串長度:17)```position---->(字串長度:0)---->Vice President for Industry-Academia Collaboration(字串長度:50)```company2---->(字串長度:0)---->郭秉宸 產學長 (Taiwan AI Academy)(字串長度:39)```me_desc---->(字串長度:0)---->郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任: KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長 : 產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:1155)```talkfile_link---->簡報77(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6141,'2023-08-30 13:49:09',78,'name---->TBD-78(字串長度:6)---->胡瑛敏(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Amy Hu(字串長度:6)```talk_title---->(字串長度:0)---->Generative AI on Intel® Architecture(字串長度:37)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Intel(字串長度:5)```position---->(字串長度:0)---->Taiwan Site Manager, Habana Labs(字串長度:32)```desc---->(字串長度:0)---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.\r \r Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.\r \r 生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.\r \r Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇,(字串長度:1580)```me_desc---->(字串長度:0)---->美商英特爾公司 DCAI 部門, Habana Labs 台灣區總經理, 負責製造及支援平台的客戶。  (字串長度:108)```talkfile_link---->簡報78(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6142,'2023-08-30 13:49:09',80,'name---->TBD-80(字串長度:6)---->黃彥男(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->Yennun Huang(字串長度:12)```talk_title---->(字串長度:0)---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->Research Center for Information Technology Innovation,  Director(字串長度:64)```me_desc---->(字串長度:0)---->Dr Huang is the Director for Research Center for Information Technology Innovation (CITI), Academia Sinica, Taiwan. He is also a Board Member, of TRADE-VAN, a Joint Professor of IoT Research Center, Natiaon Taiwan university, a Joint Professor of College of AI, National Yan Ming Chiao Tung University and a Supervisor of Taiwan AI Academy. Dr. Huang received his PhD in Computer Science from University of Maryland. He Joined AT&T Bell Labs in 1989. His work on Software Implemented Fault Tolerance (SwiFT) tools was applied to tens of telecommunication systems in AT&T and was named one of the ten major technology breakthroughs in Bell Laboratories in 1992. He became a Distinguished Member of Technical Staff of Bell Labs in 1996. He started the Dependable Computing Research Department in AT&T in 1999 and was the department head to ensure the high dependability of all AT&T services. In 2004, Dr. Huang became the Executive Director of Dependable Distributed Computing and Communication Research Department to lead AT&T dependability research programs. In 2007, Dr. Huang became the Executive Vice President of Institute for Information Industry of Taiwan. Dr. Huang has more than 20 US patents and 150 papers published in well-known journals and conferences. His Software rejuvenation paper was awarded Jean-Claude Laprie Award in 2019. Dr. Huang was also the Deputy Executive Secretary of Science and Technology Advisory Group of Executive Yuan, helping Taiwan Government on the Information and Communication Technology development policy and funding allocation between 2010 and 2015. Dr. Huang is an IEEE Fellow.(字串長度:1621)```talkfile_link---->簡報80(字串長度:8)---->V(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6143,'2023-08-30 13:49:09',81,'name---->TBD-81(字串長度:6)---->古倫維(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)----> Lun-Wei Ku(字串長度:11)```talk_title---->(字串長度:0)---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Academia Sinica(字串長度:15)```position---->(字串長度:0)---->Institute of Information Science, Research Fellow(字串長度:49)```me_desc---->(字串長度:0)---->received her Ph.D. degree in Computer Science and Information Engineering from National Taiwan University, Taipei, Taiwan, in 2009. She joined the Institute of Information Science, Academia Sinica as an assistant research fellow in Aug., 2012, and was promoted to be an associate research fellow in Aug., 2018.  Her research expertise lies in natural language processing and information retrieval, especially in sentiment analysis and opinion mining. She often publishes papers in top conferences including ACL, AAAI, SIGIR, WWW, NAACL, and EMNLP. She is very active in the research community, and the international professional activities she involves include the general chair and the program chair of StarSem 2021, StarSem 2019 and AIRS 2019, and the area chair of ACL, NjAACL 2021, ACL, EMNLP, COLING 2020, EMNLP 2019, ACL 2017, CCL 2016, NLPCC 2016, ACL-IJCNLP and EMNLP 2015. Her research is internationally recognized and has been served as the AFNLP Member-at-Large and ACL SIGHAN Asia Information Officer.  She is very experienced in academic and industrial collaborations. Her research collaborators come from US, Singapore, Sweden and Israel, and she is currently working with data companies and banks. Her current research topics focus on recommendation, visual storytelling, sensational text generation, fake news intervention, knowledge-based question answering, lie detection and social media analysis.(字串長度:1417)```talkfile_link---->簡報81(字串長度:8)---->X(字串長度:1)```position_for_agenda---->\r(字串長度:1)---->(字串長度:0)'),(6144,'2023-08-30 13:49:09',82,'name---->TBD-82(字串長度:6)---->尹維作(字串長度:9)```name2---->(字串長度:0)---->Steven Yin(字串長度:10)```talk_title---->(字串長度:0)---->Welcome to SysMoore Era - What can AI/ML EDA Tools to Unleash the Moore Law?(字串長度:76)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```company---->(字串長度:0)---->Synopsys(字串長度:8)```position---->(字串長度:0)---->Sr. Sales Director(字串長度:18)```desc---->(字串長度:0)---->In the SysMoore era, we are facing a lot of challenges. This talk will cover “The Five Overarching Themes” in the current IC design, including (i) PPA push, (ii) First Tapeout works, (iii) Multi-die/3D systems, (iv) Safe, secure, resilience silicon, and (v) Productivity. How Synopsys EDA uses AI/ML to cope with those challenges. (字串長度:335)```me_desc---->(字串長度:0)---->  Steven Yin is currently the senior sales director at Synopsys Taiwan, leading a team focused on managing relationships with major foundries and IC design companies. He joined Synopsys Taiwan in 2003, following successful roles as sales leader in Agilent Technologies and Taiwan local start-up IC design company. Steven is with extensive experience of semiconductor industry, including manufacturing processes, IC design methodology, and application market trend.(字串長度:464)```talkfile_link---->簡報82(字串長度:8)---->X(字串長度:1)'),(6145,'2023-08-30 13:56:01',1,'company_for_agenda---->(字串長度:0)---->院長(字串長度:6)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6146,'2023-08-30 13:56:01',2,'company_for_agenda---->(字串長度:0)---->主委(字串長度:6)```position_for_agenda---->(字串長度:0)---->NSTC\r(字串長度:5)'),(6147,'2023-08-30 13:56:01',3,'company_for_agenda---->(字串長度:0)---->董事長(字串長度:9)```position_for_agenda---->(字串長度:0)---->錄影\r(字串長度:7)'),(6148,'2023-08-30 13:56:01',4,'company_for_agenda---->(字串長度:0)---->Distinguished Scientist & Research Lead(字串長度:39)```position_for_agenda---->(字串長度:0)---->Google DeepMind\r(字串長度:16)'),(6149,'2023-08-30 13:56:01',6,'company_for_agenda---->(字串長度:0)---->技術長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Quanta\r(字串長度:7)'),(6150,'2023-08-30 13:56:01',7,'company_for_agenda---->(字串長度:0)---->研究員(字串長度:9)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6151,'2023-08-30 13:56:01',9,'company_for_agenda---->(字串長度:0)---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)```position_for_agenda---->(字串長度:0)---->Qualcomm\r(字串長度:9)'),(6152,'2023-08-30 13:56:01',11,'company_for_agenda---->(字串長度:0)---->總經理(字串長度:9)```position_for_agenda---->(字串長度:0)---->Taiwan Web Service\r(字串長度:19)'),(6153,'2023-08-30 13:56:01',12,'company_for_agenda---->(字串長度:0)---->創新基地總監(字串長度:18)```position_for_agenda---->(字串長度:0)---->MediaTek\r(字串長度:9)'),(6154,'2023-08-30 13:56:01',13,'company_for_agenda---->(字串長度:0)---->智慧應用整合處副處長(字串長度:30)```position_for_agenda---->(字串長度:0)---->TSMC\r(字串長度:5)'),(6155,'2023-08-30 13:56:01',14,'company_for_agenda---->(字串長度:0)---->Research Scientist(字串長度:18)```position_for_agenda---->(字串長度:0)---->Meta AI\r(字串長度:8)'),(6156,'2023-08-30 13:56:01',15,'company_for_agenda---->(字串長度:0)---->研發協理(字串長度:12)```position_for_agenda---->(字串長度:0)---->Intel\r(字串長度:6)'),(6157,'2023-08-30 13:56:01',16,'company_for_agenda---->(字串長度:0)---->技術副總經理(字串長度:18)```position_for_agenda---->(字串長度:0)---->Dell\r(字串長度:5)'),(6158,'2023-08-30 13:56:01',17,'company_for_agenda---->(字串長度:0)---->資深協理(字串長度:12)```position_for_agenda---->(字串長度:0)---->SuperMicro\r(字串長度:11)'),(6159,'2023-08-30 13:56:01',18,'company_for_agenda---->(字串長度:0)---->資深解決方案架構協理(字串長度:30)```position_for_agenda---->(字串長度:0)---->NVIDIA\r(字串長度:7)'),(6160,'2023-08-30 13:56:01',19,'company_for_agenda---->(字串長度:0)---->資深經理(字串長度:12)```position_for_agenda---->(字串長度:0)---->AMD\r(字串長度:4)'),(6161,'2023-08-30 13:56:01',20,'company_for_agenda---->(字串長度:0)---->經理(字串長度:6)```position_for_agenda---->(字串長度:0)---->NEUCHIPS\r(字串長度:9)'),(6162,'2023-08-30 13:56:01',21,'company_for_agenda---->(字串長度:0)---->技術顧問(字串長度:12)```position_for_agenda---->(字串長度:0)---->NetApp\r(字串長度:7)'),(6163,'2023-08-30 13:56:01',22,'company_for_agenda---->(字串長度:0)---->資深研究科學家(字串長度:21)```position_for_agenda---->(字串長度:0)---->Snap\r(字串長度:5)'),(6164,'2023-08-30 13:56:01',23,'company_for_agenda---->(字串長度:0)---->副教授(字串長度:9)```position_for_agenda---->(字串長度:0)---->Tunghai University\r(字串長度:19)'),(6165,'2023-08-30 13:56:01',24,'company_for_agenda---->(字串長度:0)---->經理(字串長度:6)```position_for_agenda---->(字串長度:0)---->VICTOR TAICHUNG\r(字串長度:16)'),(6166,'2023-08-30 13:56:01',25,'company_for_agenda---->(字串長度:0)---->台灣區技術總監(字串長度:21)```position_for_agenda---->(字串長度:0)---->eCloudvalley Digital Technology\r(字串長度:32)'),(6167,'2023-08-30 13:56:01',26,'company_for_agenda---->(字串長度:0)---->執行副總經理(字串長度:18)```position_for_agenda---->(字串長度:0)---->AUO Digitech\r(字串長度:13)'),(6168,'2023-08-30 13:56:01',27,'company_for_agenda---->(字串長度:0)---->技術副總(字串長度:12)```position_for_agenda---->(字串長度:0)---->cacaFly\r(字串長度:8)'),(6169,'2023-08-30 13:56:01',28,'company_for_agenda---->(字串長度:0)---->副教授(字串長度:9)```position_for_agenda---->(字串長度:0)---->National Taiwan Normal University\r(字串長度:34)'),(6170,'2023-08-30 13:56:01',29,'company_for_agenda---->(字串長度:0)---->助理教授(字串長度:12)```position_for_agenda---->(字串長度:0)---->National Chengchi University\r(字串長度:29)'),(6171,'2023-08-30 13:56:01',30,'company_for_agenda---->(字串長度:0)---->主任(字串長度:6)```position_for_agenda---->(字串長度:0)---->China Medical University Hospital\r(字串長度:34)'),(6172,'2023-08-30 13:56:01',31,'company_for_agenda---->(字串長度:0)---->資深副總(字串長度:12)```position_for_agenda---->(字串長度:0)---->CTBC Holding\r(字串長度:13)'),(6173,'2023-08-30 13:56:01',32,'company_for_agenda---->(字串長度:0)---->執行副總經理(字串長度:18)```position_for_agenda---->(字串長度:0)---->FET Telecommunications\r(字串長度:23)'),(6174,'2023-08-30 13:56:01',34,'company_for_agenda---->(字串長度:0)---->部長(字串長度:6)```position_for_agenda---->(字串長度:0)---->Ministry of Digital Affairs\r(字串長度:28)'),(6175,'2023-08-30 13:56:01',35,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->NTU\r(字串長度:4)'),(6176,'2023-08-30 13:56:01',36,'company_for_agenda---->(字串長度:0)---->特聘教授(字串長度:12)```position_for_agenda---->(字串長度:0)---->NTU\r(字串長度:4)'),(6177,'2023-08-30 13:56:01',37,'company_for_agenda---->(字串長度:0)---->資深處長(字串長度:12)```position_for_agenda---->(字串長度:0)---->MediaTek\r(字串長度:9)'),(6178,'2023-08-30 13:56:01',38,'company_for_agenda---->(字串長度:0)---->產學長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Taiwan AI Academy\r(字串長度:18)'),(6179,'2023-08-30 13:56:01',39,'company_for_agenda---->(字串長度:0)---->副教授(字串長度:9)```position_for_agenda---->(字串長度:0)---->National Taiwan University\r(字串長度:27)'),(6180,'2023-08-30 13:56:01',40,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->National Taiwan University\r(字串長度:27)'),(6181,'2023-08-30 13:56:01',41,'company_for_agenda---->(字串長度:0)---->人工智慧研發中心技術長(字串長度:33)```position_for_agenda---->(字串長度:0)---->Microsoft Taiwan\r(字串長度:17)'),(6182,'2023-08-30 13:56:01',42,'company_for_agenda---->(字串長度:0)---->執行副總經理(字串長度:18)```position_for_agenda---->(字串長度:0)---->Deloitte\r(字串長度:9)'),(6183,'2023-08-30 13:56:01',43,'company_for_agenda---->(字串長度:0)---->執行長(字串長度:9)```position_for_agenda---->(字串長度:0)---->DSP\r(字串長度:4)'),(6184,'2023-08-30 13:56:01',47,'company_for_agenda---->(字串長度:0)---->資深架構師(字串長度:15)```position_for_agenda---->(字串長度:0)---->Cadence\r(字串長度:8)'),(6185,'2023-08-30 13:56:04',48,'company_for_agenda---->(字串長度:0)---->創辦人(字串長度:9)```position_for_agenda---->(字串長度:0)---->Skymizer\r(字串長度:9)'),(6186,'2023-08-30 13:56:04',49,'company_for_agenda---->(字串長度:0)---->創辦人(字串長度:9)```position_for_agenda---->(字串長度:0)---->CyCraft Technology\r(字串長度:19)'),(6187,'2023-08-30 13:56:04',50,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->NYCU\r(字串長度:5)'),(6188,'2023-08-30 13:56:04',53,'company_for_agenda---->(字串長度:0)---->創辦人(字串長度:9)```position_for_agenda---->(字串長度:0)---->Hive Ventures\r(字串長度:14)'),(6189,'2023-08-30 13:56:04',54,'company_for_agenda---->(字串長度:0)---->董事長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Ai3\r(字串長度:4)'),(6190,'2023-08-30 13:56:04',55,'company_for_agenda---->(字串長度:0)---->創辦人(字串長度:9)```position_for_agenda---->(字串長度:0)---->Chainsight ＆ HelperAI\r(字串長度:24)'),(6191,'2023-08-30 13:56:04',56,'company_for_agenda---->(字串長度:0)---->人工智能核心實驗室主任(字串長度:33)```position_for_agenda---->(字串長度:0)---->Chang Gung Memorial Hospital\r(字串長度:29)'),(6192,'2023-08-30 13:56:04',57,'company_for_agenda---->(字串長度:0)---->副教授(字串長度:9)```position_for_agenda---->(字串長度:0)---->Taipei Medical University\r(字串長度:26)'),(6193,'2023-08-30 13:56:04',60,'company_for_agenda---->(字串長度:0)---->老師(字串長度:6)```position_for_agenda---->(字串長度:0)---->Jhongshan Elementary School\r(字串長度:28)'),(6194,'2023-08-30 13:56:04',61,'company_for_agenda---->(字串長度:0)---->總校長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Wagor International School\r(字串長度:27)'),(6195,'2023-08-30 13:56:04',62,'company_for_agenda---->(字串長度:0)---->教務長(字串長度:9)```position_for_agenda---->(字串長度:0)---->National Tsing Hua University\r(字串長度:30)'),(6196,'2023-08-30 13:56:04',63,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->National Tsing Hua University\r(字串長度:30)'),(6197,'2023-08-30 13:56:04',64,'company_for_agenda---->(字串長度:0)---->副研究員(字串長度:12)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6198,'2023-08-30 13:56:04',67,'company_for_agenda---->(字串長度:0)---->技術長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Quanta\r(字串長度:7)'),(6199,'2023-08-30 13:56:04',68,'company_for_agenda---->(字串長度:0)---->校務長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Taiwan AI Academy\r(字串長度:18)'),(6200,'2023-08-30 13:56:04',69,'position_for_agenda---->(字串長度:0)---->Harvard University\r(字串長度:19)'),(6201,'2023-08-30 13:56:04',70,'company_for_agenda---->(字串長度:0)---->研究員(字串長度:9)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6202,'2023-08-30 13:56:04',71,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->Taiwan Tech University\r(字串長度:23)'),(6203,'2023-08-30 13:56:04',72,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->Tunghai University\r(字串長度:19)'),(6204,'2023-08-30 13:56:04',73,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->National Tsing Hua University\r(字串長度:30)'),(6205,'2023-08-30 13:56:04',74,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->National Taiwan University\r(字串長度:27)'),(6206,'2023-08-30 13:56:04',75,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->Tunghai University\r(字串長度:19)'),(6207,'2023-08-30 13:56:04',76,'company_for_agenda---->(字串長度:0)---->教授(字串長度:6)```position_for_agenda---->(字串長度:0)---->Taiwan Tech University\r(字串長度:23)'),(6208,'2023-08-30 13:56:04',77,'company_for_agenda---->(字串長度:0)---->產學長(字串長度:9)```position_for_agenda---->(字串長度:0)---->Taiwan AI Academy\r(字串長度:18)'),(6209,'2023-08-30 13:56:04',78,'company_for_agenda---->(字串長度:0)---->Habana Lab總經理(字串長度:19)```position_for_agenda---->(字串長度:0)---->Intel\r(字串長度:6)'),(6210,'2023-08-30 13:56:04',80,'company_for_agenda---->(字串長度:0)---->特聘研究員(字串長度:15)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6211,'2023-08-30 13:56:04',81,'company_for_agenda---->(字串長度:0)---->研究員(字串長度:9)```position_for_agenda---->(字串長度:0)---->Academia Sinica\r(字串長度:16)'),(6212,'2023-08-30 13:56:04',82,'company_for_agenda---->(字串長度:0)---->業務副總經理(字串長度:18)```position_for_agenda---->(字串長度:0)---->Synopsys(字串長度:8)'),(6213,'2023-08-30 15:32:14',1,'company_for_agenda---->院長(字串長度:6)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->院長(字串長度:6)'),(6214,'2023-08-30 15:32:14',2,'company_for_agenda---->主委(字串長度:6)---->NSTC\r(字串長度:5)```position_for_agenda---->NSTC\r(字串長度:5)---->主委(字串長度:6)'),(6215,'2023-08-30 15:32:14',3,'company_for_agenda---->董事長(字串長度:9)---->錄影\r(字串長度:7)```position_for_agenda---->錄影\r(字串長度:7)---->董事長(字串長度:9)'),(6216,'2023-08-30 15:32:14',4,'company_for_agenda---->Distinguished Scientist & Research Lead(字串長度:39)---->Google DeepMind\r(字串長度:16)```position_for_agenda---->Google DeepMind\r(字串長度:16)---->Distinguished Scientist & Research Lead(字串長度:39)'),(6217,'2023-08-30 15:32:14',6,'company_for_agenda---->技術長(字串長度:9)---->Quanta\r(字串長度:7)```position_for_agenda---->Quanta\r(字串長度:7)---->技術長(字串長度:9)'),(6218,'2023-08-30 15:32:14',7,'company_for_agenda---->研究員(字串長度:9)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->研究員(字串長度:9)'),(6219,'2023-08-30 15:32:14',9,'company_for_agenda---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)---->Qualcomm\r(字串長度:9)```position_for_agenda---->Qualcomm\r(字串長度:9)---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)'),(6220,'2023-08-30 15:32:14',11,'company_for_agenda---->總經理(字串長度:9)---->Taiwan Web Service\r(字串長度:19)```position_for_agenda---->Taiwan Web Service\r(字串長度:19)---->總經理(字串長度:9)'),(6221,'2023-08-30 15:32:14',12,'company_for_agenda---->創新基地總監(字串長度:18)---->MediaTek\r(字串長度:9)```position_for_agenda---->MediaTek\r(字串長度:9)---->創新基地總監(字串長度:18)'),(6222,'2023-08-30 15:32:14',13,'company_for_agenda---->智慧應用整合處副處長(字串長度:30)---->TSMC\r(字串長度:5)```position_for_agenda---->TSMC\r(字串長度:5)---->智慧應用整合處副處長(字串長度:30)'),(6223,'2023-08-30 15:32:14',14,'company_for_agenda---->Research Scientist(字串長度:18)---->Meta AI\r(字串長度:8)```position_for_agenda---->Meta AI\r(字串長度:8)---->Research Scientist(字串長度:18)'),(6224,'2023-08-30 15:32:14',15,'company_for_agenda---->研發協理(字串長度:12)---->Intel\r(字串長度:6)```position_for_agenda---->Intel\r(字串長度:6)---->研發協理(字串長度:12)'),(6225,'2023-08-30 15:32:15',16,'company_for_agenda---->技術副總經理(字串長度:18)---->Dell\r(字串長度:5)```position_for_agenda---->Dell\r(字串長度:5)---->技術副總經理(字串長度:18)'),(6226,'2023-08-30 15:32:15',17,'company_for_agenda---->資深協理(字串長度:12)---->SuperMicro\r(字串長度:11)```position_for_agenda---->SuperMicro\r(字串長度:11)---->資深協理(字串長度:12)'),(6227,'2023-08-30 15:32:15',18,'company_for_agenda---->資深解決方案架構協理(字串長度:30)---->NVIDIA\r(字串長度:7)```position_for_agenda---->NVIDIA\r(字串長度:7)---->資深解決方案架構協理(字串長度:30)'),(6228,'2023-08-30 15:32:15',19,'company_for_agenda---->資深經理(字串長度:12)---->AMD\r(字串長度:4)```position_for_agenda---->AMD\r(字串長度:4)---->資深經理(字串長度:12)'),(6229,'2023-08-30 15:32:15',20,'company_for_agenda---->經理(字串長度:6)---->NEUCHIPS\r(字串長度:9)```position_for_agenda---->NEUCHIPS\r(字串長度:9)---->經理(字串長度:6)'),(6230,'2023-08-30 15:32:15',21,'company_for_agenda---->技術顧問(字串長度:12)---->NetApp\r(字串長度:7)```position_for_agenda---->NetApp\r(字串長度:7)---->技術顧問(字串長度:12)'),(6231,'2023-08-30 15:32:15',22,'company_for_agenda---->資深研究科學家(字串長度:21)---->Snap\r(字串長度:5)```position_for_agenda---->Snap\r(字串長度:5)---->資深研究科學家(字串長度:21)'),(6232,'2023-08-30 15:32:15',23,'company_for_agenda---->副教授(字串長度:9)---->Tunghai University\r(字串長度:19)```position_for_agenda---->Tunghai University\r(字串長度:19)---->副教授(字串長度:9)'),(6233,'2023-08-30 15:32:15',24,'company_for_agenda---->經理(字串長度:6)---->VICTOR TAICHUNG\r(字串長度:16)```position_for_agenda---->VICTOR TAICHUNG\r(字串長度:16)---->經理(字串長度:6)'),(6234,'2023-08-30 15:32:15',25,'company_for_agenda---->台灣區技術總監(字串長度:21)---->eCloudvalley Digital Technology\r(字串長度:32)```position_for_agenda---->eCloudvalley Digital Technology\r(字串長度:32)---->台灣區技術總監(字串長度:21)'),(6235,'2023-08-30 15:32:15',26,'company_for_agenda---->執行副總經理(字串長度:18)---->AUO Digitech\r(字串長度:13)```position_for_agenda---->AUO Digitech\r(字串長度:13)---->執行副總經理(字串長度:18)'),(6236,'2023-08-30 15:32:15',27,'company_for_agenda---->技術副總(字串長度:12)---->cacaFly\r(字串長度:8)```position_for_agenda---->cacaFly\r(字串長度:8)---->技術副總(字串長度:12)'),(6237,'2023-08-30 15:32:15',28,'company_for_agenda---->副教授(字串長度:9)---->National Taiwan Normal University\r(字串長度:34)```position_for_agenda---->National Taiwan Normal University\r(字串長度:34)---->副教授(字串長度:9)'),(6238,'2023-08-30 15:32:15',29,'company_for_agenda---->助理教授(字串長度:12)---->National Chengchi University\r(字串長度:29)```position_for_agenda---->National Chengchi University\r(字串長度:29)---->助理教授(字串長度:12)'),(6239,'2023-08-30 15:32:15',30,'company_for_agenda---->主任(字串長度:6)---->China Medical University Hospital\r(字串長度:34)```position_for_agenda---->China Medical University Hospital\r(字串長度:34)---->主任(字串長度:6)'),(6240,'2023-08-30 15:32:15',31,'company_for_agenda---->資深副總(字串長度:12)---->CTBC Holding\r(字串長度:13)```position_for_agenda---->CTBC Holding\r(字串長度:13)---->資深副總(字串長度:12)'),(6241,'2023-08-30 15:32:15',32,'company_for_agenda---->執行副總經理(字串長度:18)---->FET Telecommunications\r(字串長度:23)```position_for_agenda---->FET Telecommunications\r(字串長度:23)---->執行副總經理(字串長度:18)'),(6242,'2023-08-30 15:32:15',34,'company_for_agenda---->部長(字串長度:6)---->Ministry of Digital Affairs\r(字串長度:28)```position_for_agenda---->Ministry of Digital Affairs\r(字串長度:28)---->部長(字串長度:6)'),(6243,'2023-08-30 15:32:15',35,'company_for_agenda---->教授(字串長度:6)---->NTU\r(字串長度:4)```position_for_agenda---->NTU\r(字串長度:4)---->教授(字串長度:6)'),(6244,'2023-08-30 15:32:15',36,'company_for_agenda---->特聘教授(字串長度:12)---->NTU\r(字串長度:4)```position_for_agenda---->NTU\r(字串長度:4)---->特聘教授(字串長度:12)'),(6245,'2023-08-30 15:32:15',37,'company_for_agenda---->資深處長(字串長度:12)---->MediaTek\r(字串長度:9)```position_for_agenda---->MediaTek\r(字串長度:9)---->資深處長(字串長度:12)'),(6246,'2023-08-30 15:32:15',38,'company_for_agenda---->產學長(字串長度:9)---->Taiwan AI Academy\r(字串長度:18)```position_for_agenda---->Taiwan AI Academy\r(字串長度:18)---->產學長(字串長度:9)'),(6247,'2023-08-30 15:32:15',39,'company_for_agenda---->副教授(字串長度:9)---->National Taiwan University\r(字串長度:27)```position_for_agenda---->National Taiwan University\r(字串長度:27)---->副教授(字串長度:9)'),(6248,'2023-08-30 15:32:15',40,'company_for_agenda---->教授(字串長度:6)---->National Taiwan University\r(字串長度:27)```position_for_agenda---->National Taiwan University\r(字串長度:27)---->教授(字串長度:6)'),(6249,'2023-08-30 15:32:15',41,'company_for_agenda---->人工智慧研發中心技術長(字串長度:33)---->Microsoft Taiwan\r(字串長度:17)```position_for_agenda---->Microsoft Taiwan\r(字串長度:17)---->人工智慧研發中心技術長(字串長度:33)'),(6250,'2023-08-30 15:32:15',42,'company_for_agenda---->執行副總經理(字串長度:18)---->Deloitte\r(字串長度:9)```position_for_agenda---->Deloitte\r(字串長度:9)---->執行副總經理(字串長度:18)'),(6251,'2023-08-30 15:32:15',43,'company_for_agenda---->執行長(字串長度:9)---->DSP\r(字串長度:4)```position_for_agenda---->DSP\r(字串長度:4)---->執行長(字串長度:9)'),(6252,'2023-08-30 15:32:15',47,'company_for_agenda---->資深架構師(字串長度:15)---->Cadence\r(字串長度:8)```position_for_agenda---->Cadence\r(字串長度:8)---->資深架構師(字串長度:15)'),(6253,'2023-08-30 15:32:15',48,'company_for_agenda---->創辦人(字串長度:9)---->Skymizer\r(字串長度:9)```position_for_agenda---->Skymizer\r(字串長度:9)---->創辦人(字串長度:9)'),(6254,'2023-08-30 15:32:15',49,'company_for_agenda---->創辦人(字串長度:9)---->CyCraft Technology\r(字串長度:19)```position_for_agenda---->CyCraft Technology\r(字串長度:19)---->創辦人(字串長度:9)'),(6255,'2023-08-30 15:32:15',50,'company_for_agenda---->教授(字串長度:6)---->NYCU\r(字串長度:5)```position_for_agenda---->NYCU\r(字串長度:5)---->教授(字串長度:6)'),(6256,'2023-08-30 15:32:15',53,'company_for_agenda---->創辦人(字串長度:9)---->Hive Ventures\r(字串長度:14)```position_for_agenda---->Hive Ventures\r(字串長度:14)---->創辦人(字串長度:9)'),(6257,'2023-08-30 15:32:15',54,'company_for_agenda---->董事長(字串長度:9)---->Ai3\r(字串長度:4)```position_for_agenda---->Ai3\r(字串長度:4)---->董事長(字串長度:9)'),(6258,'2023-08-30 15:32:15',55,'company_for_agenda---->創辦人(字串長度:9)---->Chainsight ＆ HelperAI\r(字串長度:24)```position_for_agenda---->Chainsight ＆ HelperAI\r(字串長度:24)---->創辦人(字串長度:9)'),(6259,'2023-08-30 15:32:15',56,'company_for_agenda---->人工智能核心實驗室主任(字串長度:33)---->Chang Gung Memorial Hospital\r(字串長度:29)```position_for_agenda---->Chang Gung Memorial Hospital\r(字串長度:29)---->人工智能核心實驗室主任(字串長度:33)'),(6260,'2023-08-30 15:32:15',57,'company_for_agenda---->副教授(字串長度:9)---->Taipei Medical University\r(字串長度:26)```position_for_agenda---->Taipei Medical University\r(字串長度:26)---->副教授(字串長度:9)'),(6261,'2023-08-30 15:32:15',60,'company_for_agenda---->老師(字串長度:6)---->Jhongshan Elementary School\r(字串長度:28)```position_for_agenda---->Jhongshan Elementary School\r(字串長度:28)---->老師(字串長度:6)'),(6262,'2023-08-30 15:32:15',61,'company_for_agenda---->總校長(字串長度:9)---->Wagor International School\r(字串長度:27)```position_for_agenda---->Wagor International School\r(字串長度:27)---->總校長(字串長度:9)'),(6263,'2023-08-30 15:32:15',62,'company_for_agenda---->教務長(字串長度:9)---->National Tsing Hua University\r(字串長度:30)```position_for_agenda---->National Tsing Hua University\r(字串長度:30)---->教務長(字串長度:9)'),(6264,'2023-08-30 15:32:15',63,'company_for_agenda---->教授(字串長度:6)---->National Tsing Hua University\r(字串長度:30)```position_for_agenda---->National Tsing Hua University\r(字串長度:30)---->教授(字串長度:6)'),(6265,'2023-08-30 15:32:16',64,'company_for_agenda---->副研究員(字串長度:12)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->副研究員(字串長度:12)'),(6266,'2023-08-30 15:32:16',67,'company_for_agenda---->技術長(字串長度:9)---->Quanta\r(字串長度:7)```position_for_agenda---->Quanta\r(字串長度:7)---->技術長(字串長度:9)'),(6267,'2023-08-30 15:32:16',68,'company_for_agenda---->校務長(字串長度:9)---->Taiwan AI Academy\r(字串長度:18)```position_for_agenda---->Taiwan AI Academy\r(字串長度:18)---->校務長(字串長度:9)'),(6268,'2023-08-30 15:32:16',69,'company_for_agenda---->(字串長度:0)---->Harvard University\r(字串長度:19)```position_for_agenda---->Harvard University\r(字串長度:19)---->(字串長度:0)'),(6269,'2023-08-30 15:32:16',70,'company_for_agenda---->研究員(字串長度:9)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->研究員(字串長度:9)'),(6270,'2023-08-30 15:32:16',71,'company_for_agenda---->教授(字串長度:6)---->Taiwan Tech University\r(字串長度:23)```position_for_agenda---->Taiwan Tech University\r(字串長度:23)---->教授(字串長度:6)'),(6271,'2023-08-30 15:32:16',72,'company_for_agenda---->教授(字串長度:6)---->Tunghai University\r(字串長度:19)```position_for_agenda---->Tunghai University\r(字串長度:19)---->教授(字串長度:6)'),(6272,'2023-08-30 15:32:16',73,'company_for_agenda---->教授(字串長度:6)---->National Tsing Hua University\r(字串長度:30)```position_for_agenda---->National Tsing Hua University\r(字串長度:30)---->教授(字串長度:6)'),(6273,'2023-08-30 15:32:16',74,'company_for_agenda---->教授(字串長度:6)---->National Taiwan University\r(字串長度:27)```position_for_agenda---->National Taiwan University\r(字串長度:27)---->教授(字串長度:6)'),(6274,'2023-08-30 15:32:16',75,'company_for_agenda---->教授(字串長度:6)---->Tunghai University\r(字串長度:19)```position_for_agenda---->Tunghai University\r(字串長度:19)---->教授(字串長度:6)'),(6275,'2023-08-30 15:32:16',76,'company_for_agenda---->教授(字串長度:6)---->Taiwan Tech University\r(字串長度:23)```position_for_agenda---->Taiwan Tech University\r(字串長度:23)---->教授(字串長度:6)'),(6276,'2023-08-30 15:32:16',77,'company_for_agenda---->產學長(字串長度:9)---->Taiwan AI Academy\r(字串長度:18)```position_for_agenda---->Taiwan AI Academy\r(字串長度:18)---->產學長(字串長度:9)'),(6277,'2023-08-30 15:32:16',78,'company_for_agenda---->Habana Lab總經理(字串長度:19)---->Intel\r(字串長度:6)```position_for_agenda---->Intel\r(字串長度:6)---->Habana Lab總經理(字串長度:19)'),(6278,'2023-08-30 15:32:16',80,'company_for_agenda---->特聘研究員(字串長度:15)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->特聘研究員(字串長度:15)'),(6279,'2023-08-30 15:32:16',81,'company_for_agenda---->研究員(字串長度:9)---->Academia Sinica\r(字串長度:16)```position_for_agenda---->Academia Sinica\r(字串長度:16)---->研究員(字串長度:9)'),(6280,'2023-08-30 15:32:16',82,'company_for_agenda---->業務副總經理(字串長度:18)---->Synopsys(字串長度:8)```position_for_agenda---->Synopsys(字串長度:8)---->業務副總經理(字串長度:18)'),(6281,'2023-08-31 14:29:34',15,'desc---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.\r \r Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.\r \r 生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.\r \r Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇,(字串長度:1580)---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.  Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.  生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.  Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇.(字串長度:1574)'),(6282,'2023-08-31 14:29:34',47,'desc---->(字串長度:0)---->Generative AI has emerged as an outstanding and versatile solution. Its rapid advancements and deep impacts have exceeded many other technological breakthroughs, delivering substantial benefits to numerous industries. Within the semiconductor industry, generative AI integrated into EDA tools has solidified its position by offering unparalleled optimization capabilities.\r \r Indeed, these cutting-edge tools have demonstrated the capacity to change the rules of the game, enabling teams engaged in chip and system development to significantly enhance performance. Furthermore, they play a critical role in boosting engineering productivity and simplifying complex design convergence processes. In this presentation, we will introduce how EDA’s evolution through AI and how to leverage this transformative power into chip design and implementation.(字串長度:850)'),(6283,'2023-08-31 14:29:35',78,'desc---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.\r \r Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.\r \r 生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.\r \r Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇,(字串長度:1580)---->Generative AI is causing impacts across various industries worldwide. For Taiwan\'s industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages.  Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel\'s software and hardware architecture empower everyone to grasp the opportunities of generative AI.  生成式AI正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵.  Intel AI Everywhere可以加速整個AI產品開發週期的創新,讓你的產品與服務價值最大化,並且可以方便的在受到資安保護且符合法規的條件下布署到cloud以及edge. 透過最熱門的stable diffusion 以及llama2等生成式AI應用實例的方享, 探討Intel 軟硬體架構的優勢如何讓大家掌握生成式AI的機遇.(字串長度:1574)'),(6284,'2023-08-31 16:27:40',14,'desc---->(字串長度:0)---->The rapid evolution of artificial intelligence is ushering in a new era, where large language models are outpacing human experts in fields as diverse as law and medicine. Comprehending this trajectory is essential for gauging the technology\'s future implications.\r In this keynote, Dr. Scialom offers a unique vantage point on the exponential rise and unfolding direction of AI. Through the lens of his own career—from the nascent stages of language models that could barely construct a sentence, to groundbreaking creations like his recent Llama 2—Thomas Scialom will share his personal perspective into the expanding competencies and complexities of Generative AI and large language models.\r(字串長度:697)```company_for_agenda---->Meta AI(字串長度:7)---->Meta AI\r(字串長度:8)'),(6285,'2023-08-31 17:05:55',41,'talk_title---->(字串長度:0)---->On Wings of AI with Copilot(字串長度:27)```company---->Microsoft Taiwan(字串長度:16)---->Microsoft(字串長度:9)```company_for_agenda---->Microsoft Taiwan\r(字串長度:17)---->Microsoft\r(字串長度:10)'),(6286,'2023-08-31 17:44:16',80,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(6287,'2023-08-31 19:00:21',54,'me_desc---->30幾年軟體開發經驗、30年CTI/CRM技術整合應用發展實務經驗，主要成就有CRM、Contact Center產品開發、電話服務中心系統整合開發、AI服務機器人開發、輿情分析系統、服務大數據分析…等。專精於CRM服務流程與服務架構之資訊技術整合，為企業服務提出完整智慧服務流程與資訊架構。\r     近年專注於大數據與人工智慧技術，應用於CRM與客戶服務領域，發展自然語言處理技術(NLP)，開發AI服務機器人、輿情分析系統、服務數據分析、對話式商務、法遵系統…等智慧應用。2017年至今擔任中華軟協AI大數據智慧應用促進會會長，推動產業AI智慧應用發展，促使產業AI化、AI產業化。2022年擔任中華軟協元宇宙發展促進會，持續推動新興科技與產業融合，發展新應用。(字串長度:872)---->PRESENT JOB ●Chairman, Ai3 Co. ●Chairman, Gemfor Tech Co., Ltd. ●Co-founder, Chainsea Information Integration Co., Ltd.  SUCCESS AND ACHIEVEMENT Over 30 years of software development experience, 30 years of CTI/CRM technical integration application development practice. Key achievements include CRM, Contact Center development, call center system integrated development, Chatbot development, big data analysis, etc. Specialized in integrating IT with CRM service processes and structures to offer comprehensive intelligent service processes and information structures. In recent years, has focused on big data and AI technologies, applying them to CRM and customer service domains, developing natural language processing (NLP) technology, creating Chatbot, sentiment analysis systems, conversational commerce, legal compliance systems, etc.   EXPERTISE CRM, Big Data, Chatbot Design and Application, NLP, Sentiment Analysis System, Intelligent Customer Service Planning and Design, Customer Service Center Operation Management, Conversational Commerce, Software Engineering, Project Management, Corporate Management.  30幾年軟體開發經驗、30年CTI/CRM技術整合應用發展實務經驗，主要成就有CRM、Contact Center產品開發、電話服務中心系統整合開發、AI服務機器人開發、輿情分析系統、服務大數據分析…等。專精於CRM服務流程與服務架構之資訊技術整合，為企業服務提出完整智慧服務流程與資訊架構。     近年專注於大數據與人工智慧技術，應用於CRM與客戶服務領域，發展自然語言處理技術(NLP)，開發AI服務機器人、輿情分析系統、服務數據分析、對話式商務、法遵系統…等智慧應用。2017年至今擔任中華軟協AI大數據智慧應用促進會會長，推動產業AI智慧應用發展，促使產業AI化、AI產業化。2022年擔任中華軟協元宇宙發展促進會，持續推動新興科技與產業融合，發展新應用。(字串長度:1996)'),(6288,'2023-08-31 19:00:22',69,'desc---->(字串長度:0)---->Abstract:   AI will change law fundamentally. The only question is whether it will change it in ways we like. There is no doubt that the technology will radically alter how we make and practice law. Through code, those changes will enhance the rule of law. But they will also  make urgent the need to better govern the values that law embeds and makes real. In principle, AI could make law orders of magnitude better. In practice, we have yet to demonstrate — at least we in America — the capacity to govern that this new technology demands.(字串長度:545)'),(6289,'2023-09-01 19:29:11',6,'can_playback---->no(字串長度:2)---->yes(字串長度:3)'),(6290,'2023-09-01 19:29:11',11,'can_playback---->no(字串長度:2)---->yes(字串長度:3)```me_desc---->華碩雲端暨台智雲總經理 吳漢章先生擁有多年雲端服務與智慧醫療創新創業經驗，主導 TWCC 平台和主機台灣杉二號的建置開發及營運，創下國際超級電腦的最佳排行和提升國內自主科技的量能。帶領台智雲AIHPC超級電腦與華碩雲端成為AI 雲端的領導品牌，推動雲端、大數據、物聯網、區塊鏈、5G 及人工智慧整合性創新，協助資訊科技與產業整合、推動數位轉型。(字串長度:480)---->Current Job: CEO of ASUS Cloud and TWSC\r Education\r • Ph.D., Biomedical Engineering, National Taiwan University\r • Electrical Engineering, National Taiwan University\r Peter Wu is a highly accomplished executive with a diverse range of experiences\r and achievements in the technology industry. He currently holds two prominent\r positions, serving as the CEO of ASUS Cloud of Taiwan Web Service Corporation.\r In addition to his current roles, Peter Wu is actively involved in various\r organizations and committees. He serves as a committee member of the\r Biotechnology and Pharmaceutical Industries Promotion Office under the\r Ministry of Economic Affairs. Peter Wu is also holds the position of Director at\r Information Service Industry Association of R.O.C., Supervisor at the Cloud\r Computing &amp; IoT Association in Taiwan and serves as the Deputy Director of the\r Policy and Legal Committee and President of Taipei Computer Association AI\r Alliance. Through these roles, he helps drive policy discussions and promote the\r growth of cloud computing in Taiwan.\r Recognized for his expertise and insights, Peter Wu was appointed as a member\r of the Advisory Committee on Bio Taiwan Committee by the Executive Yuan in\r 2017 and 2019. In this capacity, he provided valuable guidance and advice on the\r strategic direction of the biotechnology industry in Taiwan.\r With a wealth of experience and a passion for technology and innovation, Peter\r Wu is a highly respected leader in the industry. His contributions to the\r advancement of cloud computing, smart healthcare, and the software industry\r have been instrumental in driving growth and shaping the future of Taiwan&#39;s\r technology landscape.(字串長度:1701)'),(6291,'2023-09-01 19:29:12',38,'talk_title---->Closing Remarks(字串長度:15)---->寓兵於農：百工百業加速 AI 化的策略(字串長度:49)```me_desc---->郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任: KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長 : 產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:1155)---->Benjamin Kuo is currently the Vice President for Industry-Academia Collaboration and has over 25 years of industry experience and consulting expertise. He focuses on building an AI-centric innovation ecosystem that connects and synergizes industry, venture capital, academia, and research institute. He aims to advance Taiwan’s AI excellence and accelerate the development and strength of Taiwan’s industries with AI.   Benjamin was a Senior Director at KPMG Taiwan, and leading the smart manufacturing team, serving many medium and large customers, and long-term involvement in the three major markets of industrial industry, family business management, and start-up & innovation services.  Benjamin is also a Ph.D candidate in the Interdisciplinary International Doctoral Program at National Tsing Hua University. He already holds dual master’s degrees in materials science and technology innovation management.  郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任：KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長：產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:2077)'),(6292,'2023-09-01 19:29:12',41,'can_playback---->no(字串長度:2)---->yes(字串長度:3)'),(6293,'2023-09-01 19:29:12',54,'company_for_agenda---->Ai3(字串長度:3)---->Ai3\r(字串長度:4)'),(6294,'2023-09-01 19:29:12',63,'can_playback---->no(字串長度:2)---->yes(字串長度:3)'),(6295,'2023-09-01 19:29:12',69,'company_for_agenda---->Harvard University(字串長度:18)---->Harvard University\r(字串長度:19)'),(6296,'2023-09-04 21:35:35',23,'desc---->(字串長度:0)---->Generative AI is undoubtedly making dramatic changes in many industries and cultures, including\r architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions,\r test the effectiveness of our solutions with simulations, and control the performance of buildings\r once they are constructed. For the first time, the evolution of AI technology has transformed from an\r external &quot;productivity improvement&quot; of design tools to an internal &quot;replacement of thinking power&quot;?\r Even touching the new boundary of &quot;creative reinvention&quot;. As an architect who has always integrated\r creativity into practice, how should we make adjustments and respond to the intelligent design\r process? This talk intends to demonstrates various possibilities of how the architecture and design\r industry can effectively use visual generated AI to accelerate design creativity and motivate\r innovation.\r \r AI人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行\r 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。\r 尤其是生成式人工智慧的急速發展，AI技術演進第一次從一種外在設計工具的“生產力提升”，\r 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整\r 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設\r 計產業如何有效運用圖像生成式AI，加速設計創意與流程創新的各種可能。(字串長度:1673)'),(6297,'2023-09-04 21:35:35',38,'me_desc---->Benjamin Kuo is currently the Vice President for Industry-Academia Collaboration and has over 25 years of industry experience and consulting expertise. He focuses on building an AI-centric innovation ecosystem that connects and synergizes industry, venture capital, academia, and research institute. He aims to advance Taiwan’s AI excellence and accelerate the development and strength of Taiwan’s industries with AI. \r\n\r\nBenjamin was a Senior Director at KPMG Taiwan, and leading the smart manufacturing team, serving many medium and large customers, and long-term involvement in the three major markets of industrial industry, family business management, and start-up & innovation services.\r\n\r\nBenjamin is also a Ph.D candidate in the Interdisciplinary International Doctoral Program at National Tsing Hua University. He already holds dual master’s degrees in materials science and technology innovation management.\r\n\r\n郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。\r\n\r\n曾任：KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理\r\n\r\n專長：產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:2087)---->Benjamin Kuo is currently the Vice President for Industry-Academia Collaboration and has over 25 years of industry experience and consulting expertise. He focuses on building an AI-centric innovation ecosystem that connects and synergizes industry, venture capital, academia, and research institute. He aims to advance Taiwan’s AI excellence and accelerate the development and strength of Taiwan’s industries with AI.   Benjamin was a Senior Director at KPMG Taiwan, and leading the smart manufacturing team, serving many medium and large customers, and long-term involvement in the three major markets of industrial industry, family business management, and start-up & innovation services.  Benjamin is also a Ph.D candidate in the Interdisciplinary International Doctoral Program at National Tsing Hua University. He already holds dual master’s degrees in materials science and technology innovation management.  郭秉宸現為台灣人工智慧學校產學長，並且為清華大學跨域國際博士學程博士候選人，擁有材料科學與科技管理雙碩士，25 年以上的產業經驗與管顧專長。 聚焦於建構以 AI 為中心的產學研創生態系，鏈結能量並且促動產生綜效，推進台灣 AI 的卓越進展，讓台灣的產業因為有 AI 而加速發展並且強大。  曾任：KPMG 臺灣所顧問部 企業績效與創新科技協理，長期投入在工業產業、家族事業經營、新創與創新服務三大市場。 工研院企劃與研發處專案副組長，擔任院長室高級幕僚 新創企業經營企劃經理  專長：產業 AI 化策略與行動方案擬定、智慧製造、項目組合管理 (Portfolio management)、產品開發管理 (Product development management)、企業營運管理 (Business operation)、企業對企業行銷與商機開發 (B2B marketing & BD)、建立企業生態系與策略聯盟 (Ecosystem & Strategic alliance)、新事業發展、經營管理策略制定、智慧製造策略架構、數位決策分析與管理、企業營運模式校準、企業二代傳承接班。(字串長度:2077)```company_for_agenda---->Taiwan AI Academy(字串長度:17)---->Taiwan AI Academy\r(字串長度:18)'),(6298,'2023-09-05 20:08:18',16,'desc---->(字串長度:0)---->Combining GenAI with big data to create a competitive advantage for businesses is a prevailing trend today. However, both big data and GenAI are huge investments in IT resources. How to achieve optimal computing performance, storage SLA with sufficient capacity, minimal energy consumption, and minimal human intervention to meet the lowest TCO is a key challenge. In this agenda, we will unveil the best Big Data + GenAI framework and the green energy technologies used to simultaneously achieve highest efficiency, great energy savings with carbon reduction, and best TCO, while creating a competitive edge.(字串長度:609)'),(6299,'2023-09-05 20:08:18',23,'desc---->Generative AI is undoubtedly making dramatic changes in many industries and cultures, including\r\n architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions,\r\n test the effectiveness of our solutions with simulations, and control the performance of buildings\r\n once they are constructed. For the first time, the evolution of AI technology has transformed from an\r\n external &quot;productivity improvement&quot; of design tools to an internal &quot;replacement of thinking power&quot;?\r\n Even touching the new boundary of &quot;creative reinvention&quot;. As an architect who has always integrated\r\n creativity into practice, how should we make adjustments and respond to the intelligent design\r\n process? This talk intends to demonstrates various possibilities of how the architecture and design\r\n industry can effectively use visual generated AI to accelerate design creativity and motivate\r\n innovation.\r\n \r\n AI人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行\r\n 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。\r\n 尤其是生成式人工智慧的急速發展，AI技術演進第一次從一種外在設計工具的“生產力提升”，\r\n 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整\r\n 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設\r\n 計產業如何有效運用圖像生成式AI，加速設計創意與流程創新的各種可能。(字串長度:1689)---->Generative AI is undoubtedly making dramatic changes in many industries and cultures, including\r architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions,\r test the effectiveness of our solutions with simulations, and control the performance of buildings\r once they are constructed. For the first time, the evolution of AI technology has transformed from an\r external &quot;productivity improvement&quot; of design tools to an internal &quot;replacement of thinking power&quot;?\r Even touching the new boundary of &quot;creative reinvention&quot;. As an architect who has always integrated\r creativity into practice, how should we make adjustments and respond to the intelligent design\r process? This talk intends to demonstrates various possibilities of how the architecture and design\r industry can effectively use visual generated AI to accelerate design creativity and motivate\r innovation.\r \r AI人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行\r 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。\r 尤其是生成式人工智慧的急速發展，AI技術演進第一次從一種外在設計工具的“生產力提升”，\r 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整\r 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設\r 計產業如何有效運用圖像生成式AI，加速設計創意與流程創新的各種可能。(字串長度:1673)```company_for_agenda---->Tunghai University(字串長度:18)---->Tunghai University\r(字串長度:19)'),(6300,'2023-09-05 20:08:18',26,'talk_title---->A sustainable and smart manufacturing for productivity improvement(字串長度:66)---->A Sustainable and Smart Manufacturing for Productivity Improvement(字串長度:66)'),(6301,'2023-09-05 20:08:18',29,'desc---->(字串長度:0)---->In this session, product planning is an example to demonstrate how large language models can take on multiple roles and guide project completion through ChatGPT.\r The speaker will demonstrate the process from chaos to order, guiding ChatGPT to propose operational workflow and thinking frameworks, present counter arguments, and act as a discussant.(字串長度:349)'),(6302,'2023-09-05 20:08:18',31,'me_desc---->(字串長度:0)---->中信金控數據暨科技研發處處長，負責集團數據規劃與 AI 科技研發業務，研發成果於外部得到美國 NIST 機構與國際各大學術機構認證具備領先性與創新性，其整合科技落地金融應用的商轉業務模式也屢得 Gartner、IDC 與 WCIT 等全球創新獎項肯定。內部以 +AI 與 AI+ 之雙策略基調，廣泛落地於金控內各個金融場景，涵蓋個人金融業務、法人金融業務、人壽業務、風險管理業務與 HR 業務等。(字串長度:510)'),(6303,'2023-09-05 20:08:19',69,'me_desc---->Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. (The Roy Furman chair is in honor of this extraordinary alumnus.)  Prior to rejoining the Harvard faculty, where he was the Berkman Professor of Law until 2000, Lessig was a professor at Stanford Law School, where he founded the school’s Center for Internet and Society, and at the University of Chicago.  Lessig clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court. He serves on the Board of the AXA Research Fund, and is an Emeritus member of the board at Creative Commons.  Lessig is a Member of the American Academy of Arts and Sciences, and the American Philosophical Association, and has received numerous awards, including the Free Software Foundation’s Freedom Award, Fastcase 50 Award.  In 2002, he was named one of Scientific American’s Top 50 Visionaries.  Lessig holds a BA in economics and a BS in management from the University of Pennsylvania, an MA in philosophy from Cambridge, and a JD from Yale.(字串長度:1090)---->Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. (The Roy Furman chair is in honor of this extraordinary alumnus.)  Prior to rejoining the Harvard faculty, where he was the Berkman Professor of Law until 2000, Lessig was a professor at Stanford Law School, where he founded the school’s Center for Internet and Society, and at the University of Chicago.  Lessig clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court. He serves on the Board of the AXA Research Fund, and is an Emeritus member of the board at Creative Commons.  Lessig is a Member of the American Academy of Arts and Sciences, and the American Philosophical Association, and has received numerous awards, including the Free Software Foundation’s Freedom Award, Fastcase 50 Award.  In 2002, he was named one of Scientific American’s Top 50 Visionaries.  Lessig holds a BA in economics and a BS in management from the University of Pennsylvania, an MA in philosophy from Cambridge, and a JD from Yale.  ▍現任：哈佛大學法學院教授 ▍學歷：耶魯大學法學博士、劍橋大學哲學碩士、賓州大學經濟與管理雙學士 ▍經歷：史丹佛大學法學院教授並創設學網路與社會中心、芝加哥大學法學院教授、Equal Citizens 創辦人、Creative Commons 創始董事會成員、AXA 研究基金科學委員會、美國藝術與科學院、美國哲學會等成員 ▍研究：憲法學者，著有 13 本專書、9 篇書籍專章等 89 篇著作，其中論述科技 vs.法律的著作共 44 篇 ▍榮譽：獲 The New Yorker 評為網路世代最重要的智財思想家 (2002)、獲 Webby 獎、科學美國人 50 獎、Fastcase 50 獎等(字串長度:1778)'),(6304,'2023-09-06 14:43:18',23,'desc---->Generative AI is undoubtedly making dramatic changes in many industries and cultures, including\r architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions,\r test the effectiveness of our solutions with simulations, and control the performance of buildings\r once they are constructed. For the first time, the evolution of AI technology has transformed from an\r external &quot;productivity improvement&quot; of design tools to an internal &quot;replacement of thinking power&quot;?\r Even touching the new boundary of &quot;creative reinvention&quot;. As an architect who has always integrated\r creativity into practice, how should we make adjustments and respond to the intelligent design\r process? This talk intends to demonstrates various possibilities of how the architecture and design\r industry can effectively use visual generated AI to accelerate design creativity and motivate\r innovation.\r \r AI人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行\r 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。\r 尤其是生成式人工智慧的急速發展，AI技術演進第一次從一種外在設計工具的“生產力提升”，\r 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整\r 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設\r 計產業如何有效運用圖像生成式AI，加速設計創意與流程創新的各種可能。(字串長度:1673)---->Generative AI is undoubtedly making dramatic changes in many industries and cultures, including architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions, test the effectiveness of our solutions with simulations, and control the performance of buildings once they are constructed. For the first time, the evolution of AI technology has transformed from an external &quot;productivity improvement&quot; of design tools to an internal &quot;replacement of thinking power&quot;? Even touching the new boundary of &quot;creative reinvention&quot;. As an architect who has always integrated creativity into practice, how should we make adjustments and respond to the intelligent design process? This talk intends to demonstrates various possibilities of how the architecture and design industry can effectively use visual generated AI to accelerate design creativity and motivate innovation.  AI人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。 尤其是生成式人工智慧的急速發展，AI技術演進第一次從一種外在設計工具的“生產力提升”， 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設 計產業如何有效運用圖像生成式AI，加速設計創意與流程創新的各種可能。(字串長度:1657)'),(6305,'2023-09-06 14:43:19',29,'desc---->In this session, product planning is an example to demonstrate how large language models can take on multiple roles and guide project completion through ChatGPT.\r\n The speaker will demonstrate the process from chaos to order, guiding ChatGPT to propose operational workflow and thinking frameworks, present counter arguments, and act as a discussant.(字串長度:350)---->In this session, product planning is an example to demonstrate how large language models can take on multiple roles and guide project completion through ChatGPT. The speaker will demonstrate the process from chaos to order, guiding ChatGPT to propose operational workflow and thinking frameworks, present counter arguments, and act as a discussant.(字串長度:348)```company_for_agenda---->National Chengchi University(字串長度:28)---->National Chengchi University\r(字串長度:29)'),(6306,'2023-09-06 14:43:19',64,'position---->Associate Research Professor, Institutum Iurisprudentiae(字串長度:56)---->Institutum Iurisprudentiae(字串長度:26)```company2---->Academia Sinica(字串長度:15)---->(字串長度:0)```position2---->Co-director, Information Law Center, Institutum Iurisprudentiae(字串長度:63)---->(字串長度:0)```me_desc---->▍Education & Experiences S.J.D., Harvard Law School (2013) LL.M., Harvard Law School (2005) LL.M., National Taiwan University (2002) LL.B., National Taiwan University (1999)  ▍Research Fields Science and technology studies; Information and society; Online collaborations, Intellectual property; Indigenous peoples\' law and policy, Indigenous rights(字串長度:352)---->Shun-Ling Chen is a associate research professor at Institutum Iurisprudentiae Academia Sinica (IIAS). She also co-directs the Information Law Center at IIAS. Her fields of research include: copyright, privacy, internet governance, online collaboration, community governance, citizen science and data governance.(字串長度:312)```talkfile_link---->簡報64(字串長度:8)---->X(字串長度:1)'),(6307,'2023-09-06 14:43:19',69,'company_for_agenda---->Harvard University(字串長度:18)---->Harvard University\r(字串長度:19)'),(6308,'2023-09-07 08:31:16',15,'company_for_agenda---->Intel(字串長度:5)---->Intel\r(字串長度:6)'),(6309,'2023-09-07 08:31:16',17,'desc---->(字串長度:0)---->In the era of blooming AI everywhere, transforming the business by adopting AI capabilities has no longer planning but actions.  In the session we’d talk about the leading edge technologies and solutions Supermicro can bring to the customers, not just to get high performance and best TCO but also to have the efficient and sustainable infrastructure.(字串長度:353)'),(6310,'2023-09-07 08:31:17',78,'company_for_agenda---->Intel(字串長度:5)---->Intel\r(字串長度:6)'),(6311,'2023-09-08 19:00:18',9,'desc---->(字串長度:0)---->Qualcomm has been cultivating AI technology for more than ten years and foresees that AI applications bring unlimited possibilities with innovation to every industry. As generative AI adoption grows at record-setting speeds and drives higher demand for compute, we believe the future of AI is on-device. In this session, you will see how we fuel on-device AI to enable generative AI to scale with more diversified fields, and what benefits will bring to enhance the user experience through AI.(字串長度:493)'),(6312,'2023-09-08 19:00:19',25,'desc---->(字串長度:0)---->While the value of generative AI and related applications is well-known, many fields have not fully leveraged AI due to challenges in implementation. The manufacturing industry, in particular, faces issues with OT/IT integration and data collection. In this presentation, we will share how ECV\'s expertise in building OT data collection platforms and leverage cloud services to accelerate service development, making it easier to implement AI solutions.   儘管生成式AI及其他相關應用的價值廣為人知，但由於落地的種種挑戰，仍有許多場域尚未利用AI創造效益，尤其是製造業更會遇到許多OT/IT整合問題及資料收集挑戰。此次演講我們將藉由ECV在IoT領域的專業與導入經驗，分享如何建構現場資料收集的平台，以及利用雲端服務加速服務發展，讓倡議者可以更好的將AI方案落地。(字串長度:884)'),(6313,'2023-09-08 19:00:19',27,'desc---->How to leverage the robust resource flexibility of the cloud to enable a more rapid and efficient transformation of Generative AI innovation into tangible products or services, and to realize quick deployment of applications through the cloud framework!\r 如何利用雲端的強大資源彈性，使生成式AI的創新更快速、更有效地轉化為實際產品或服務，並通過雲端框架實現應用的快速落地！(字串長度:428)---->How to leverage the robust resource flexibility of the cloud to enable a more rapid and efficient transformation of Generative AI innovation into tangible products or services, and to realize quick deployment of applications through the cloud framework! 如何利用雲端的強大資源彈性，使生成式AI的創新更快速、更有效地轉化為實際產品或服務，並通過雲端框架實現應用的快速落地！(字串長度:427)'),(6314,'2023-09-08 19:00:19',30,'desc---->The speech provided a compelling insight into the potential of Generative AI to revolutionize healthcare, focusing on a pioneering collaboration between the China Medical University Hospital and Microsoft Taiwan.\r \r The gHi System, a groundbreaking AI solution born out of this collaboration, is globally recognized as the first generative AI medical system constructed in Chinese. Utilizing Microsoft\'s Azure platform and the cutting-edge language model GPT-4, the gHi System significantly reduces time spent on medical record-keeping, improving administrative efficiency and freeing medical professionals to focus more on patient care.\r \r The speech further highlighted how generative AI can transcend record-keeping by aiding in predicting disease patterns, personalizing treatment plans, and facilitating communication in patient care.\r \r In summary, the speech painted a future of smart healthcare where the intersection of Generative AI and medicine promotes more efficient, effective, and patient-centric medical practices. It highlighted the impressive achievements of collaborative technological innovation, opening up a conversation on the future of smart healthcare.(字串長度:1177)---->The speech provided a compelling insight into the potential of Generative AI to revolutionize healthcare, focusing on a pioneering collaboration between the China Medical University Hospital and Microsoft Taiwan.  The gHi System, a groundbreaking AI solution born out of this collaboration, is globally recognized as the first generative AI medical system constructed in Chinese. Utilizing Microsoft\'s Azure platform and the cutting-edge language model GPT-4, the gHi System significantly reduces time spent on medical record-keeping, improving administrative efficiency and freeing medical professionals to focus more on patient care.  The speech further highlighted how generative AI can transcend record-keeping by aiding in predicting disease patterns, personalizing treatment plans, and facilitating communication in patient care.  In summary, the speech painted a future of smart healthcare where the intersection of Generative AI and medicine promotes more efficient, effective, and patient-centric medical practices. It highlighted the impressive achievements of collaborative technological innovation, opening up a conversation on the future of smart healthcare.(字串長度:1171)'),(6315,'2023-09-08 19:00:19',37,'desc---->(字串長度:0)---->Over the years, edge AI has made significant strides, transitioning from applications like photo classification and face detection to enhancing video and gaming picture quality. The advent of generative AI has further propelled innovation, revolutionizing our life experiences. However, due to intensive computational and memory requirements, current generative AI applications primarily rely on cloud infrastructure. In this presentation, we aim to explore the emerging trend of shifting from a cloud-centric approach to a collaborative cloud-edge paradigm for generative AI technologies. We will delve into the multitude of opportunities and challenges that lie ahead when supporting generative AI on edge devices. This transformation entails a synergetic blend of technological advancements, enhancements in hardware architecture, and the reduction of computational complexities, ultimately enabling the realization of novel generative AI applications.(字串長度:955)'),(6316,'2023-09-08 19:00:19',49,'talk_title---->Unleashing the Cyber Magic: The Future of Blue Team Defense\r(字串長度:60)---->Unleashing the Cyber Magic: The Future of Blue Team Defense (字串長度:60)'),(6317,'2023-09-08 19:00:19',57,'desc---->In this talk, we will delve into the remarkable advancements in Natural Language Processing (NLP) and their transformative potential in the realm of clinical data analysis. The field of medical imaging has seen tremendous growth, and one of the key challenges lies in translating radiomics features into actionable insights. Firstly, we will explore a groundbreaking approach that addresses this challenge by automatically generating Lung-RADS reports from low-dose lung CT scans. By leveraging the power of deep learning to construct a multi-objective framework, we have advanced the extraction of essential information to aid in the accurate diagnosis of lung abnormalities. Moving beyond medical imaging, pathology reports play a crucial role in guiding treatment decisions, particularly in lung cancer cases. We will investigate how Generative Pre-trained Transformers (GPT) can extract vital features from pathology reports, enabling the identification of key indicators for effective lung cancer treatment. By harnessing the capabilities of GPT, we unlock a wealth of information buried within textual data, enhancing the precision of personalized therapies.\r \r Moreover, advanced lung cancer requires comprehensive decision support systems. Deep learning-based techniques offer immense potential in this domain by automating the extraction of key features from pathology reports. By integrating these extracted features into a decision support system, we empower clinicians with valuable insights, aiding in the development of tailored treatment plans and ultimately improving patient outcomes. Throughout this presentation, we will witness how NLP, combined with deep learning methodologies, revolutionizes the analysis of clinical data. By bridging the gap between unstructured text and actionable knowledge, we unlock the full potential of clinical data and propel us into an era where diagnoses are more accurate, treatments are more personalized, and patient care is optimized.\r \r Together, let us embark on a journey that demonstrates how NLP is shaping the future of healthcare, forging a path towards a world where the integration of technology and medicine empowers us to extend the potential of clinical data like never before. The future is indeed here, and it is through the fusion of NLP and clinical data that we shall explore its boundless possibilities.(字串長度:2376)---->In this talk, we will delve into the remarkable advancements in Natural Language Processing (NLP) and their transformative potential in the realm of clinical data analysis. The field of medical imaging has seen tremendous growth, and one of the key challenges lies in translating radiomics features into actionable insights. Firstly, we will explore a groundbreaking approach that addresses this challenge by automatically generating Lung-RADS reports from low-dose lung CT scans. By leveraging the power of deep learning to construct a multi-objective framework, we have advanced the extraction of essential information to aid in the accurate diagnosis of lung abnormalities. Moving beyond medical imaging, pathology reports play a crucial role in guiding treatment decisions, particularly in lung cancer cases. We will investigate how Generative Pre-trained Transformers (GPT) can extract vital features from pathology reports, enabling the identification of key indicators for effective lung cancer treatment. By harnessing the capabilities of GPT, we unlock a wealth of information buried within textual data, enhancing the precision of personalized therapies.  Moreover, advanced lung cancer requires comprehensive decision support systems. Deep learning-based techniques offer immense potential in this domain by automating the extraction of key features from pathology reports. By integrating these extracted features into a decision support system, we empower clinicians with valuable insights, aiding in the development of tailored treatment plans and ultimately improving patient outcomes. Throughout this presentation, we will witness how NLP, combined with deep learning methodologies, revolutionizes the analysis of clinical data. By bridging the gap between unstructured text and actionable knowledge, we unlock the full potential of clinical data and propel us into an era where diagnoses are more accurate, treatments are more personalized, and patient care is optimized.  Together, let us embark on a journey that demonstrates how NLP is shaping the future of healthcare, forging a path towards a world where the integration of technology and medicine empowers us to extend the potential of clinical data like never before. The future is indeed here, and it is through the fusion of NLP and clinical data that we shall explore its boundless possibilities.(字串長度:2372)'),(6318,'2023-09-08 19:00:19',61,'desc---->In the rapidly advancing age of Artificial Intelligence, esteemed global institutions have underscored the urgent need for reskilling and upskilling. As we find ourselves at the crossroads of technology and tradition, it becomes crucial to identify sustainable avenues for concerted effort and investment. Synthesizing insights from leading research entities, Haishuo will demystify the essential competencies set to define the AI-centric world. Delve deep as Haishuo showcases cutting-edge AI applications in educational landscapes worldwide and articulates spheres where the human touch remains irreplaceable.The presentation strives to offer an integrative exploration of present-day research, forward-looking perspectives, and the age-old human strengths that promise to endure. Come to the talk for a humble presentation of the intertwining destinies of AI and human resilience - an enlightening engagement, offering tools to chart our course in an AI-augmented future.\r \r 在人工智慧急速發展的時代，世界各大知名機構都強調了重新學習和提升技能的迫切需要。當我們處於技術和傳統的交叉路口，確定可永續投入的方向已變得至關重要。綜整全球各研究機構的洞見，海碩將向您稟報AI為中心世界的核心素養，深入探索全球教育風景中的尖端AI應用，並強調人類知能無可取代的領域。此演講旨在提供現今研究、前瞻性視角和人類亙古知能的綜合探索，期能在變動的時代提供永續發展的力量。請蒞臨本次演講，聆聽AI和人類韌性相互交織的命運的淺見，期能拋磚引玉，共同探討引領在AI增強未來道路上可用的工具。\r(字串長度:1701)---->In the rapidly advancing age of Artificial Intelligence, esteemed global institutions have underscored the urgent need for reskilling and upskilling. As we find ourselves at the crossroads of technology and tradition, it becomes crucial to identify sustainable avenues for concerted effort and investment. Synthesizing insights from leading research entities, Haishuo will demystify the essential competencies set to define the AI-centric world. Delve deep as Haishuo showcases cutting-edge AI applications in educational landscapes worldwide and articulates spheres where the human touch remains irreplaceable.The presentation strives to offer an integrative exploration of present-day research, forward-looking perspectives, and the age-old human strengths that promise to endure. Come to the talk for a humble presentation of the intertwining destinies of AI and human resilience - an enlightening engagement, offering tools to chart our course in an AI-augmented future.  在人工智慧急速發展的時代，世界各大知名機構都強調了重新學習和提升技能的迫切需要。當我們處於技術和傳統的交叉路口，確定可永續投入的方向已變得至關重要。綜整全球各研究機構的洞見，海碩將向您稟報AI為中心世界的核心素養，深入探索全球教育風景中的尖端AI應用，並強調人類知能無可取代的領域。此演講旨在提供現今研究、前瞻性視角和人類亙古知能的綜合探索，期能在變動的時代提供永續發展的力量。請蒞臨本次演講，聆聽AI和人類韌性相互交織的命運的淺見，期能拋磚引玉，共同探討引領在AI增強未來道路上可用的工具。 (字串長度:1699)'),(6319,'2023-09-08 19:00:19',62,'desc---->With the rise of ChatGPT, Generative Artificial Intelligence (Generative AI) has gradually garnered attention from various fields. Many professors both domestically and internationally have attempted to utilize ChatGPT to answer university exam questions and have been pleasantly surprised by the promising results achieved. According to a recent report from EDUCASE, approximately thirty percent of university professors hold a pessimistic attitude towards Artificial Intelligence in General (AIGC), with over half of them being unaware of how students use AI. What impacts might Generative AI have on higher education? What roles could AIGC play in admissions, teaching, and research within higher education, and what potential disruptions might occur?\r(字串長度:755)---->With the rise of ChatGPT, Generative Artificial Intelligence (Generative AI) has gradually garnered attention from various fields. Many professors both domestically and internationally have attempted to utilize ChatGPT to answer university exam questions and have been pleasantly surprised by the promising results achieved. According to a recent report from EDUCASE, approximately thirty percent of university professors hold a pessimistic attitude towards Artificial Intelligence in General (AIGC), with over half of them being unaware of how students use AI. What impacts might Generative AI have on higher education? What roles could AIGC play in admissions, teaching, and research within higher education, and what potential disruptions might occur? (字串長度:755)'),(6320,'2023-09-11 20:08:35',36,'can_playback---->no(字串長度:2)---->yes(字串長度:3)```company_for_agenda---->NTU(字串長度:3)---->NTU\r(字串長度:4)'),(6321,'2023-09-11 20:08:35',37,'company_for_agenda---->MediaTek(字串長度:8)---->MediaTek\r(字串長度:9)'),(6322,'2023-09-11 20:08:35',40,'talk_title---->Memory-centric Design in the AI Era(字串長度:35)---->Memory Centric Design in the AI Era(字串長度:35)```desc---->(字串長度:0)---->Deep learning techniques have demonstrated great success in many application domains such as computer vision, speech recognition, and natural language processing. It has been shown that the memory subsystem is the main bottleneck in executing DNN applications, including the capacity and bandwidth walls.  This talk covers recent researches for tackling the memory wall challenges.  (字串長度:383)```me_desc---->▍現職 國家科學及技術委員會　科技辦公室　副執行秘書 國立臺灣大學資訊工程學系　教授  ▍經歷 台達臺大聯合研發中心　主任 國立臺灣大學　資訊網路與多媒體研究所　所長 國立臺灣大學　資訊工程學系　助理教授、副教授  ▍學歷 杜克大學計算機科學　博士 德州大學奧斯汀計算機科學　碩士 臺灣師範大學資訊教育系　學士(字串長度:441)---->Chia-Lin Yang received the Ph.D. degree from Duke University in 2001. Dr. Yang joined the Department of Computer Science and Information Engineering at NTU (National Taiwan University) in 2001. She joined the Department of Computer Science and Information Engineering at National Taiwan University at 2001. She is currently the Deputy Executive Director of Office of Science and Technology Policy at NSTC (National Science and Technology Policy). She was the Director of the Delta-NTU Joint Research Center at NTU from 2020 to 2023 and the Director of Graduate Institute of Networking and Multimedia at NTU from 2016 to 2019. Dr. Yang’s research focus is in the area of the system-level design methodology and computer architecture, with emphasis on the low-power system and memory hierarchy/SSD storage. Dr. Yang is currently serving as the Editor-in-Chief for IEEE Computer Architecture Letters, and the Program Co-chair for DAC 2024. (字串長度:939)'),(6323,'2023-09-11 20:08:35',41,'desc---->(字串長度:0)---->Wings are a symbol of freedom, exploration, and discovery. They enable us to fly above the clouds, travel across vast distances, and reach new horizons. Artificial intelligence (AI) is like a pair of wings that frees us from mundane tasks and enables us to achieve things we never imagined possible. It changes the way we work, learn, and create. In this talk, we will unveil the secret behind the recent AI breakthroughs and how they are just the dawn of AI’s fusion into every facet of life. We will discuss the prospects and challenges of this new generative AI era that aims to unleash our creativity and potential.(字串長度:621)'),(6324,'2023-09-11 20:08:35',42,'company_for_agenda---->Deloitte(字串長度:8)---->Deloitte\r(字串長度:9)'),(6325,'2023-09-11 20:08:36',80,'desc---->With the rise of large language models, many companies and organizations have attempted to leverage this powerful tool to manage their proprietary data. At Academia Sinica, we are also focused on developing a useful LLM service system, SinicaWisdom, to facilitate administrative work. Generally, large language models provide responses based on the information they have encountered in the training data. However, when faced with questions they cannot answer, large language models tend to provide incorrect responses rather than admitting they don\'t know. This behavior necessitates a significant amount of effort in terms of re-inspection or re-examination.\r\n\r\nFurthermore, to restrict the information used by large language models for proprietary data, an information retrieval system is typically employed as the front-end system to initially gather documents relevant to the question. This practice limits the knowledge that LLMs can access and exacerbates this issue. In this presentation, we will discuss how we have enabled SinicaWisdom to \"acknowledge what it does not know\" and provide additional helpful information instead of simply stating \"I cannot answer.\"(字串長度:1171)---->With the rise of large language models, many companies and organizations have attempted to leverage this powerful tool to manage their proprietary data. At Academia Sinica, we are also focused on developing a useful LLM service system, SinicaWisdom, to facilitate administrative work. Generally, large language models provide responses based on the information they have encountered in the training data. However, when faced with questions they cannot answer, large language models tend to provide incorrect responses rather than admitting they don\'t know. This behavior necessitates a significant amount of effort in terms of re-inspection or re-examination.  Furthermore, to restrict the information used by large language models for proprietary data, an information retrieval system is typically employed as the front-end system to initially gather documents relevant to the question. This practice limits the knowledge that LLMs can access and exacerbates this issue. In this presentation, we will discuss how we have enabled SinicaWisdom to \"acknowledge what it does not know\" and provide additional helpful information instead of simply stating \"I cannot answer.\"(字串長度:1169)```company_for_agenda---->Academia Sinica(字串長度:15)---->Academia Sinica\r(字串長度:16)'),(6326,'2023-09-11 20:08:36',81,'desc---->With the rise of large language models, many companies and organizations have attempted to leverage this powerful tool to manage their proprietary data. At Academia Sinica, we are also focused on developing a useful LLM service system, SinicaWisdom, to facilitate administrative work. Generally, large language models provide responses based on the information they have encountered in the training data. However, when faced with questions they cannot answer, large language models tend to provide incorrect responses rather than admitting they don\'t know. This behavior necessitates a significant amount of effort in terms of re-inspection or re-examination.\r\n\r\nFurthermore, to restrict the information used by large language models for proprietary data, an information retrieval system is typically employed as the front-end system to initially gather documents relevant to the question. This practice limits the knowledge that LLMs can access and exacerbates this issue. In this presentation, we will discuss how we have enabled SinicaWisdom to \"acknowledge what it does not know\" and provide additional helpful information instead of simply stating \"I cannot answer.\"(字串長度:1171)---->With the rise of large language models, many companies and organizations have attempted to leverage this powerful tool to manage their proprietary data. At Academia Sinica, we are also focused on developing a useful LLM service system, SinicaWisdom, to facilitate administrative work. Generally, large language models provide responses based on the information they have encountered in the training data. However, when faced with questions they cannot answer, large language models tend to provide incorrect responses rather than admitting they don\'t know. This behavior necessitates a significant amount of effort in terms of re-inspection or re-examination.  Furthermore, to restrict the information used by large language models for proprietary data, an information retrieval system is typically employed as the front-end system to initially gather documents relevant to the question. This practice limits the knowledge that LLMs can access and exacerbates this issue. In this presentation, we will discuss how we have enabled SinicaWisdom to \"acknowledge what it does not know\" and provide additional helpful information instead of simply stating \"I cannot answer.\"(字串長度:1169)```company_for_agenda---->Academia Sinica(字串長度:15)---->Academia Sinica\r(字串長度:16)'),(6327,'2023-09-12 21:50:21',7,'company---->Academia Sinica(字串長度:15)---->Research Center for Information Technology Innovation, Academia Sinica(字串長度:70)```position---->Research Fellow (Professor)(字串長度:27)---->CEO, TWISC(字串長度:10)```me_desc---->李育杰教授於 2001 年於美國威斯康辛大學麥迪遜分校取得電腦科學博士後，回台於中正大學資訊工程系任教一年，轉任台灣科技大學資訊工程系任教，2016 年二月至交通大學應用數學系、數據科學與工程研究所擔任教授。目前也合聘於清華大學統計研究所。李教授之研究主要在 資料科學、資料探勘與機器學習。在過去十多年間，李教授在監督式學習、半 監督式學習與非監督式學習 (線性 / 非線性維度縮減) 等領域中已發展了相當多的 有效率的學習演算法，並將其應用於網路入侵偵測、網路異常檢測、惡意網址 檢測與合法用戶識別等領域。李教授近年則利用 Online Learning 技術，處理巨量 資料、物聯網安全問題與巨量資料之異常檢測需求等問題。(字串長度:859)---->Prof. Yuh-Jye Lee is a computer scientist who holds a PhD in Computer Sciences from UW-Madison (2001). He has held positions at esteemed universities, including National Chun Cheng University, Taiwan Tech, and National Yang Ming Chiao Tung University.  Prof. Lee also had the opportunity to serve the government from November 2020 to January 2023 as the Deputy Executive Secretary of the Office of Science and Technology Policy, National Science and Technology Council. This office is responsible for Taiwan\'s science and technology policies, budget allocation, and the review of national-level science and technology projects. Currently, he serves as the Chief Executive Officer of the Taiwan Information Security Center at the Research Center for Information Technology Innovation, Academia Sinica.  Prof. Lee\'s research primarily focuses on AI, data science, machine learning, federated learning, and information security, with a specific interest in developing lightweight anomaly detection techniques for IoT applications. Over the past decade, he has developed numerous efficient machine learning algorithms such as SSVM and RSVM that have been successfully applied in various fields, including breast cancer diagnosis and prognosis, network intrusion detection, and fake news prevention. In essence, his research is centered on AI in security and security in AI. He is also in charge of the TAIDE project, which stands for Trustworthy AI Dialogue Engine. (字串長度:1462)'),(6328,'2023-09-12 21:50:21',11,'desc---->(字串長度:0)---->Generative AI is sparking a revolutionary shift in how humanity harnesses\r information technology, triggering a wave of innovation. Its applications are\r diversifying across various sectors, promising new opportunities. Generative AI is a\r knowledge-based technology, and currently, many countries are actively crafting\r legislation to regulate the risks associated with its development and use.\r To manage these risks, we rely on democratizing LLM AI technology, open-source\r models, and data governance, especially in critical areas like healthcare. Taiwan\r boasts a solid industrial foundation for promoting democratizing AI, with strengths in\r computing power, semiconductor manufacturing, systems, and IT services. With\r government support, Taiwan aims to emerge as a leader in both Generative AI and\r Trusted AI.(字串長度:818)'),(6329,'2023-09-12 21:50:22',26,'desc---->(字串長度:0)---->This presentation will sharing AUO\'s experience of digital transformation. We will present the smart green manufacturing services provided by AUO Digitech, including: AIoT, AOI and iAMHS. Through these technologies, the productivity of factory can be effectively improved.  (字串長度:274)'),(6330,'2023-09-12 21:50:22',31,'desc---->(字串長度:0)---->In today’s seminar, we delved into the profound impact of AI technology on financial services. We elucidated the categories of AI and its current state in the Taiwanese financial sector, highlighting its pivotal role in optimizing business processes and enhancing customer service. Through case analyses, we demonstrated how AI fosters more efficient and secure financial solutions. Looking forward, we foresee AI continually driving innovation and progression in the industry.  在今日的研討會中，我們探討了AI技術對金融服務的深刻影響。我們說明了AI的類型和其在台灣金融業的現況，突顯其在優化業務流程和提升客戶服務中的核心角色。透過案例分析，我們展示了AI如何塑造更有效和安全的金融解決方案。展望未來，我們預見AI將持續推動業界的創新和進步。 (字串長度:862)'),(6331,'2023-09-12 21:50:22',36,'name2---->Ming-Jen Lin(字串長度:12)---->Lin, Ming Jen(字串長度:13)```company2---->(字串長度:0)---->National Science and Technology Council(字串長度:39)```position2---->(字串長度:0)---->Deputy Executive Director, Office of Science and Technology Policy(字串長度:66)```me_desc---->•台大經濟系特聘教授   Distinguished Professor, Department of Economics, National Taiwan University  •國科會科技辦公室　副執行秘書   Deputy Executive Director, Office of Science and Technology Policy  •台灣經濟學會理事長   President, Taiwan Economic Association    •亞澳勞動經濟學會常務理事   Executive Board Member, Asian and Australasian Society of Labour Economics (AASLE)     •東亞經濟學會常務理事   Board of Directors, East Asian Economic Association  •Research Interests:   Data Science and Economics, Demography and Health, Law and Economics (especially crime), Labor Economics (especially Internal Labor Markets)(字串長度:687)---->Professor Ming-Jen Lin earned his Ph.D. in Economics from the University of Chicago in 2002. His research interests span various fields, including data science and economics, demography and health, law and economics, and labor economics. He places particular emphasis on interdisciplinary collaboration within the social sciences. Currently, he serves as a Distinguished Professor in the Department of Economics at National Taiwan University and holds the position of Chairman of the Taiwan Economic Association. Additionally, he concurrently serves as the Deputy Executive Secretary at the National Science and Technology Office.\r Furthermore, he has previously held the role of Director at the Division of Humanities and Social Sciences within the National Science and Technology Development Bureau (formerly the Ministry of Science and Technology), where he was responsible for promoting research and development in the fields of humanities and social sciences. He has also served as the Chair of the Department of Economics at National Taiwan University. During his tenure as Director of the Center for Behavioral and Data Science and the Center for Population and Gender Studies at National Taiwan University, he actively promoted the development of interdisciplinary research.\r (字串長度:1284)'),(6332,'2023-09-13 16:24:33',7,'company_for_agenda---->Academia Sinica(字串長度:15)---->Academia Sinica\r(字串長度:16)'),(6333,'2023-09-13 16:24:33',11,'desc---->Generative AI is sparking a revolutionary shift in how humanity harnesses\r\n information technology, triggering a wave of innovation. Its applications are\r\n diversifying across various sectors, promising new opportunities. Generative AI is a\r\n knowledge-based technology, and currently, many countries are actively crafting\r\n legislation to regulate the risks associated with its development and use.\r\n To manage these risks, we rely on democratizing LLM AI technology, open-source\r\n models, and data governance, especially in critical areas like healthcare. Taiwan\r\n boasts a solid industrial foundation for promoting democratizing AI, with strengths in\r\n computing power, semiconductor manufacturing, systems, and IT services. With\r\n government support, Taiwan aims to emerge as a leader in both Generative AI and\r\n Trusted AI.(字串長度:828)---->Generative AI is sparking a revolutionary shift in how humanity harnesses information technology, triggering a wave of innovation. Its applications are diversifying across various sectors, promising new opportunities. Generative AI is a knowledge-based technology, and currently, many countries are actively crafting legislation to regulate the risks associated with its development and use. To manage these risks, we rely on democratizing LLM AI technology, open-source models, and data governance, especially in critical areas like healthcare. Taiwan boasts a solid industrial foundation for promoting democratizing AI, with strengths in computing power, semiconductor manufacturing, systems, and IT services. With government support, Taiwan aims to emerge as a leader in both Generative AI and Trusted AI.(字串長度:808)```me_desc---->Current Job: CEO of ASUS Cloud and TWSC\r\n Education\r\n • Ph.D., Biomedical Engineering, National Taiwan University\r\n • Electrical Engineering, National Taiwan University\r\n Peter Wu is a highly accomplished executive with a diverse range of experiences\r\n and achievements in the technology industry. He currently holds two prominent\r\n positions, serving as the CEO of ASUS Cloud of Taiwan Web Service Corporation.\r\n In addition to his current roles, Peter Wu is actively involved in various\r\n organizations and committees. He serves as a committee member of the\r\n Biotechnology and Pharmaceutical Industries Promotion Office under the\r\n Ministry of Economic Affairs. Peter Wu is also holds the position of Director at\r\n Information Service Industry Association of R.O.C., Supervisor at the Cloud\r\n Computing &amp; IoT Association in Taiwan and serves as the Deputy Director of the\r\n Policy and Legal Committee and President of Taipei Computer Association AI\r\n Alliance. Through these roles, he helps drive policy discussions and promote the\r\n growth of cloud computing in Taiwan.\r\n Recognized for his expertise and insights, Peter Wu was appointed as a member\r\n of the Advisory Committee on Bio Taiwan Committee by the Executive Yuan in\r\n 2017 and 2019. In this capacity, he provided valuable guidance and advice on the\r\n strategic direction of the biotechnology industry in Taiwan.\r\n With a wealth of experience and a passion for technology and innovation, Peter\r\n Wu is a highly respected leader in the industry. His contributions to the\r\n advancement of cloud computing, smart healthcare, and the software industry\r\n have been instrumental in driving growth and shaping the future of Taiwan&#39;s\r\n technology landscape.(字串長度:1725)---->Current Job: CEO of ASUS Cloud and TWSC\r Education\r • Ph.D., Biomedical Engineering, National Taiwan University\r • Electrical Engineering, National Taiwan University\r Peter Wu is a highly accomplished executive with a diverse range of experiences\r and achievements in the technology industry. He currently holds two prominent\r positions, serving as the CEO of ASUS Cloud of Taiwan Web Service Corporation.\r In addition to his current roles, Peter Wu is actively involved in various\r organizations and committees. He serves as a committee member of the\r Biotechnology and Pharmaceutical Industries Promotion Office under the\r Ministry of Economic Affairs. Peter Wu is also holds the position of Director at\r Information Service Industry Association of R.O.C., Supervisor at the Cloud\r Computing &amp; IoT Association in Taiwan and serves as the Deputy Director of the\r Policy and Legal Committee and President of Taipei Computer Association AI\r Alliance. Through these roles, he helps drive policy discussions and promote the\r growth of cloud computing in Taiwan.\r Recognized for his expertise and insights, Peter Wu was appointed as a member\r of the Advisory Committee on Bio Taiwan Committee by the Executive Yuan in\r 2017 and 2019. In this capacity, he provided valuable guidance and advice on the\r strategic direction of the biotechnology industry in Taiwan.\r With a wealth of experience and a passion for technology and innovation, Peter\r Wu is a highly respected leader in the industry. His contributions to the\r advancement of cloud computing, smart healthcare, and the software industry\r have been instrumental in driving growth and shaping the future of Taiwan&#39;s\r technology landscape.(字串長度:1701)```company_for_agenda---->Taiwan Web Service(字串長度:18)---->Taiwan Web Service\r(字串長度:19)'),(6334,'2023-09-13 16:24:33',36,'me_desc---->Professor Ming-Jen Lin earned his Ph.D. in Economics from the University of Chicago in 2002. His research interests span various fields, including data science and economics, demography and health, law and economics, and labor economics. He places particular emphasis on interdisciplinary collaboration within the social sciences. Currently, he serves as a Distinguished Professor in the Department of Economics at National Taiwan University and holds the position of Chairman of the Taiwan Economic Association. Additionally, he concurrently serves as the Deputy Executive Secretary at the National Science and Technology Office.\r\n Furthermore, he has previously held the role of Director at the Division of Humanities and Social Sciences within the National Science and Technology Development Bureau (formerly the Ministry of Science and Technology), where he was responsible for promoting research and development in the fields of humanities and social sciences. He has also served as the Chair of the Department of Economics at National Taiwan University. During his tenure as Director of the Center for Behavioral and Data Science and the Center for Population and Gender Studies at National Taiwan University, he actively promoted the development of interdisciplinary research.\r\n (字串長度:1286)---->Professor Ming-Jen Lin earned his Ph.D. in Economics from the University of Chicago in 2002. His research interests span various fields, including data science and economics, demography and health, law and economics, and labor economics. He places particular emphasis on interdisciplinary collaboration within the social sciences. Currently, he serves as a Distinguished Professor in the Department of Economics at National Taiwan University and holds the position of Chairman of the Taiwan Economic Association. Additionally, he concurrently serves as the Deputy Executive Secretary at the National Science and Technology Office. Furthermore, he has previously held the role of Director at the Division of Humanities and Social Sciences within the National Science and Technology Development Bureau (formerly the Ministry of Science and Technology), where he was responsible for promoting research and development in the fields of humanities and social sciences. He has also served as the Chair of the Department of Economics at National Taiwan University. During his tenure as Director of the Center for Behavioral and Data Science and the Center for Population and Gender Studies at National Taiwan University, he actively promoted the development of interdisciplinary research. (字串長度:1282)```company_for_agenda---->NTU(字串長度:3)---->NTU\r(字串長度:4)'),(6335,'2023-09-13 16:24:33',37,'talk_title---->Mobile AI Evolution – Trend and Challenge(字串長度:43)---->Edge AI Application Evolution – Opportunity and Challenge(字串長度:59)'),(6336,'2023-09-13 16:24:34',64,'desc---->(字串長度:0)---->Governments worldwide are actively promoting the transition towards data-driven governance while also endorsing the release of government data to foster research and innovation. However, a critical first step is to establish effective government data governance framework and practices. In Taiwan, we are still in the early stages of developing such initiatives. In this presentation, I will introduce the Evidence Act (Foundations for Evidence-Based Policy-Making Act) of the United States, including the data governance framework it promotes. While this legislation serving as just one example, it can offer valuable insights to help us assess the challenges and shortcomings of our current regulatory framework in Taiwan.(字串長度:724)'),(6337,'2023-09-13 16:24:34',80,'talk_title---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)---->AI Safety(字串長度:9)'),(6338,'2023-09-14 08:20:07',9,'position---->President, Taiwan & SEA Australia, New Zealand Vice President(字串長度:61)---->President, Taiwan & SEA\r Australia, New Zealand\r Vice President(字串長度:63)```company_for_agenda---->Qualcomm(字串長度:8)---->Qualcomm\r(字串長度:9)'),(6339,'2023-09-14 08:20:08',16,'company_for_agenda---->Dell(字串長度:4)---->Dell\r(字串長度:5)'),(6340,'2023-09-14 08:20:08',26,'company_for_agenda---->AUO Digitech(字串長度:12)---->AUO Digitech\r(字串長度:13)'),(6341,'2023-09-14 08:20:08',53,'company_for_agenda---->Hive Ventures(字串長度:13)---->Hive Ventures\r(字串長度:14)'),(6342,'2023-09-14 08:20:08',55,'desc---->(字串長度:0)----> Learn how AI agents revolutionize efficiency across industries. We\'ll dissect the components that make them work: Planning, Memory, Tool Use. Real-world case studies from HelperAI will demonstrate impact on customer service, logistics, and more. Whether you\'re an academic, a business leader, or just curious, this talk offers actionable insights into AI’s transformative power.(字串長度:381)'),(6343,'2023-09-14 08:20:08',56,'desc---->(字串長度:0)---->9/14 下午給(字串長度:14)'),(6344,'2023-09-14 08:20:09',82,'company_for_agenda---->Synopsys(字串長度:8)---->Synopsys\r(字串長度:9)'),(6345,'2023-09-14 09:00:13',81,'talk_title---->Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:62)---->Academia Sinica Service LLM Wisdom: Knowing What it Actually Don\'t Know(字串長度:71)'),(6346,'2023-09-14 09:00:13',83,'talkfile_link---->(字串長度:0)---->簡報83(字串長度:8)'),(6347,'2024-08-20 12:18:35',14,'talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6348,'2024-08-20 12:18:35',29,'talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://homepage.ntu.edu.tw/~wyang/(字串長度:35)'),(6349,'2024-08-20 12:18:35',37,'talk_lang---->(字串長度:0)---->中文(字串長度:6)'),(6350,'2024-08-20 12:18:35',59,'talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6351,'2024-08-20 12:24:56',49,'name---->吳振和(字串長度:9)---->王宗業(字串長度:9)```company---->cacaFly(字串長度:7)---->Intel (字串長度:6)```company2---->cacaFly 聖洋科技 雲端智能中心 (字串長度:40)---->(字串長度:0)'),(6352,'2024-08-20 12:25:47',64,'name---->王宗業(字串長度:9)---->吳振和(字串長度:9)```company---->Intel (字串長度:6)---->cacaFly(字串長度:7)```company2---->(字串長度:0)---->cacaFly 聖洋科技 雲端智能中心 (字串長度:40)'),(6353,'2024-08-20 13:01:15',57,'company---->(字串長度:0)---->工研院生醫與醫材研究所(字串長度:33)'),(6354,'2024-08-20 15:22:57',57,'talk_title---->https://drive.google.com/file/d/19QPqq8U39unnexL1_qt7w65xFGIk1AFZ/view?usp=drive_link(字串長度:85)---->(字串長度:0)'),(6355,'2024-08-20 16:23:14',60,'name----> 邱泊寰(字串長度:10)---->邱泊寰(字串長度:9)'),(6356,'2024-08-20 18:34:45',8,'name2---->(字串長度:0)---->ST Liew(字串長度:7)```anchor---->(字串長度:0)---->st-liew(字串長度:7)```position---->(字串長度:0)---->President, Taiwan & SEA\r\nAustralia, New Zealand\r\nVice President(字串長度:63)'),(6357,'2024-08-20 18:34:45',11,'name2---->(字串長度:0)---->Chau-Lyan Chang(字串長度:15)```anchor---->(字串長度:0)---->chau-lyan-chang(字串長度:15)```position---->(字串長度:0)---->Director General(字串長度:16)'),(6358,'2024-08-20 18:34:45',14,'name2---->(字串長度:0)---->Jason Yeh(字串長度:9)```anchor---->(字串長度:0)---->jason-yeh(字串長度:9)```position---->(字串長度:0)---->AI & Data Engineering Div/the head of AIDE (字串長度:43)```me_desc---->(字串長度:0)---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\r\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\r\n\r\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\r\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\r\n\r(字串長度:676)'),(6359,'2024-08-20 18:34:45',29,'name2---->(字串長度:0)---->Willie Yang(字串長度:11)```anchor---->(字串長度:0)---->willie-yang(字串長度:11)```position---->(字串長度:0)---->President(字串長度:9)```me_desc---->(字串長度:0)---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\r\n\r\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \r\n\r\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\r\n\r\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2142)'),(6360,'2024-08-20 18:34:45',35,'name2---->(字串長度:0)---->Cheng-Lin Yang(字串長度:14)```anchor---->(字串長度:0)---->cheng-lin-yang(字串長度:14)```position---->(字串長度:0)---->Director of Data Science(字串長度:24)```me_desc---->(字串長度:0)---->Dr. Cheng-Lin Yang is currently a Data Science Director at CyCraft Technology, where he is responsible for organizing and leading the data science team. His research focuses on constructing efficient and effective machine learning workflows and utilizing machine learning techniques to automate detection and response at each phase of the cyberattack kill chain. He has been a speaker at various prestigious conferences such as Black Hat USA, Troopers, FIRST CTI, SINCON, CYBERSEC, SECCON, PyCon Taiwan, and AWS Summit Taiwan.(字串長度:526)'),(6361,'2024-08-20 18:34:46',36,'position---->(字串長度:0)---->執行副總(字串長度:12)'),(6362,'2024-08-20 18:34:46',37,'name2---->(字串長度:0)---->Peter Hu(字串長度:8)```anchor---->(字串長度:0)---->peter-hu(字串長度:8)```position---->(字串長度:0)---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)```me_desc---->(字串長度:0)---->\"In August 2021, Mr. Peter joined Far EasTone Telecommunications as the Executive Vice President and Chief Information Officer of the Information and Digital Transformation Technology Group. Peter\'s role encompasses driving the transformation of information services, spearheading the development of next-generation digital user experiences for 5G, and leading the creation of enterprise solutions and consultancy services in the realms of \"\"Big Data, Artificial Intelligence, and Internet of Things\"\" under the Far EasTone brand. Additionally, Peter has taken the lead in establishing the Far EasTone Innovation Accelerator.\n2021 年 8 月加入遠傳電信，擔任資訊暨數位轉型科技群執行副總經理及資訊長\n負責推動資訊服務轉型、5G的新一代數位用戶體驗發展以及遠傳「大人物（大數據、人工智慧、物聯網）」的企業解決方案與顧問服務，並主導成立遠傳新創加速器。\n\"(字串長度:948)'),(6363,'2024-08-20 18:34:46',38,'position---->(字串長度:0)---->產品長(字串長度:9)'),(6364,'2024-08-20 18:34:46',40,'position---->(字串長度:0)---->副教授(字串長度:9)'),(6365,'2024-08-20 18:34:46',41,'position---->(字串長度:0)---->助理教授(字串長度:12)'),(6366,'2024-08-20 18:34:46',43,'position---->(字串長度:0)---->產品顧問(字串長度:12)```me_desc---->(字串長度:0)---->曾任台灣人工智慧學校(AIA)技術總監，帶領團隊幫助業界掌握AI技術與應用。在AIA之前，服務於宏達電與仁寶電腦。超過20年的科技產業經驗，包括技術研發、專案管理與產品行銷。(字串長度:237)'),(6367,'2024-08-20 18:34:46',44,'position---->(字串長度:0)---->產品長(字串長度:9)'),(6368,'2024-08-20 18:34:46',45,'position---->(字串長度:0)---->執行副總經理(字串長度:18)'),(6369,'2024-08-20 18:34:46',49,'name2---->(字串長度:0)---->Chungyeh Wang (字串長度:14)```anchor---->(字串長度:0)---->chungyeh-wang-(字串長度:14)```position---->(字串長度:0)----> Platform Software Architect(字串長度:28)'),(6370,'2024-08-20 18:34:46',51,'name2---->(字串長度:0)---->Rock TSAI(字串長度:9)```anchor---->(字串長度:0)---->rock-tsai(字串長度:9)```position---->(字串長度:0)---->Chief Information Officer(字串長度:25)```me_desc---->(字串長度:0)---->Dr. Rock Tsai, holding a Ph.D. in Management Science and Engineering from Central South University, China, currently serves as Chief Information Officer at Taiwan Mobile and Chairman of the Information Management Association (IMA). He started programming in elementary school and took on freelance projects in junior high. In the 1990s, as a freshman at National Yang Ming Chiao Tung University’s Department of Computer Science, he developed a game called “Face to Face,” which took Asia by storm, selling close to 100,000 copies. \nDr. Tsai has previously served as Senior VP at HSBC Bank (China), Group Chief Information Officer at Sinyi Realty, and Head of Technology at DBS Bank (Taiwan). He received the awards of “Most Valuable CIO in China” in 2011, “Distinguished CIO in China” in 2012, “Outstanding CIO in Taiwan” in 2017, and IMA’s “Outstanding Information Director” in 2022.  \nHe joined Taiwan Mobile in February 2022, taking on the significant responsibility of managing the group’s IT transformation. 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He has over 7 years of experience in machine learning research and 4 years of experience leading research teams, specializing in language, vision, and speech AI. Recently, the team he leads has open-sourced Traditional Chinese LLMs, including Breeze-7B and BreeXe-8x7B.(字串長度:367)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://ycc.idv.tw/about-me(字串長度:27)'),(6379,'2024-08-20 18:34:46',64,'name2---->(字串長度:0)---->Wu, Cheng-Ho(字串長度:12)```anchor---->(字串長度:0)---->wu-cheng-ho(字串長度:11)```position---->(字串長度:0)---->VP of Technology(字串長度:16)```me_desc---->(字串長度:0)---->https://docs.google.com/document/d/1QePIlA_qaP4Gv5XmREAaWN_tygT4c5Kd/edit?usp=sharing&ouid=105625107378885983580&rtpof=true&sd=true(字串長度:131)'),(6380,'2024-08-20 18:34:46',66,'position---->(字串長度:0)---->副研究員(字串長度:12)'),(6381,'2024-08-20 18:34:46',67,'name2---->(字串長度:0)---->Jeremy Chiu(字串長度:11)```anchor---->(字串長度:0)---->jeremy-chiu(字串長度:11)```position---->(字串長度:0)---->顧問(字串長度:6)'),(6382,'2024-08-20 18:52:24',4,'lecture_type---->(字串長度:0)---->KEYNOTE (字串長度:8)'),(6383,'2024-08-20 18:52:25',30,'lecture_type---->(字串長度:0)---->KEYNOTE (字串長度:8)'),(6384,'2024-08-20 18:52:25',31,'lecture_type---->(字串長度:0)---->KEYNOTE (字串長度:8)'),(6385,'2024-08-20 18:52:25',34,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6386,'2024-08-20 18:52:25',35,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6387,'2024-08-20 18:52:25',36,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6388,'2024-08-20 18:52:25',37,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6389,'2024-08-20 18:52:25',38,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6390,'2024-08-20 18:52:25',40,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6391,'2024-08-20 18:52:25',41,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6392,'2024-08-20 18:52:25',43,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6393,'2024-08-20 18:52:25',44,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6394,'2024-08-20 18:52:25',45,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6395,'2024-08-20 18:52:25',49,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6396,'2024-08-20 18:52:25',51,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6397,'2024-08-20 18:52:25',52,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6398,'2024-08-20 18:52:25',53,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6399,'2024-08-20 18:52:25',55,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6400,'2024-08-20 18:52:25',57,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6401,'2024-08-20 18:52:25',58,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6402,'2024-08-20 18:52:25',59,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6403,'2024-08-20 18:52:25',60,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6404,'2024-08-20 18:52:25',63,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6405,'2024-08-20 18:52:25',64,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6406,'2024-08-20 18:52:25',65,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6407,'2024-08-20 18:52:25',66,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6408,'2024-08-20 18:52:25',67,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6409,'2024-08-20 18:52:25',68,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6410,'2024-08-20 18:52:25',69,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6411,'2024-08-20 19:53:37',4,'company---->(字串長度:0)---->和碩聯合科技股份有限公司(字串長度:36)```position---->(字串長度:0)---->董事長(字串長度:9)'),(6412,'2024-08-20 19:53:37',6,'company---->(字串長度:0)---->財團法人台灣人工智慧學校基金會(字串長度:45)```position---->(字串長度:0)---->執行長(字串長度:9)'),(6413,'2024-08-20 19:53:37',9,'company---->(字串長度:0)---->晶創計劃(字串長度:12)```position---->(字串長度:0)---->副執行長(字串長度:12)'),(6414,'2024-08-20 19:53:37',12,'company---->(字串長度:0)---->中國鋼鐵公司(字串長度:18)```position---->(字串長度:0)---->綠能與系統整合研究發展處(字串長度:36)'),(6415,'2024-08-20 19:53:37',15,'company---->(字串長度:0)---->財團法人台灣人工智慧學校基金會(字串長度:45)```position---->(字串長度:0)---->秘書長(字串長度:9)'),(6416,'2024-08-20 19:53:37',26,'company---->(字串長度:0)---->國立中央大學(字串長度:18)```position---->(字串長度:0)---->資訊工程系教授(字串長度:21)```company2---->(字串長度:0)---->中研院人社中心(字串長度:21)'),(6417,'2024-08-20 19:53:37',30,'company---->(字串長度:0)---->英業達股份有限公司(字串長度:27)```position---->(字串長度:0)---->數位長暨資深副總經理(字串長度:30)```company2---->(字串長度:0)---->行品股份有限公司 (Skywatch Inc.) (字串長度:41)'),(6418,'2024-08-21 09:43:53',59,'talk_title---->(字串長度:0)---->How can AI help nurses?(字串長度:23)'),(6419,'2024-08-21 09:43:53',63,'talk_title---->“Breeze 2.0: An Open-source Traditional Chinese LLM with API-using Capabilities and Other Development-oriented Features”(字串長度:124)---->Breeze 2.0: An Open-source Traditional Chinese LLM with API-using Capabilities and Other Development-oriented Features(字串長度:118)'),(6420,'2024-08-21 10:28:52',26,'conf---->AI(字串長度:2)---->PANEL(字串長度:5)'),(6421,'2024-08-21 10:28:52',27,'conf---->AI(字串長度:2)---->PANEL(字串長度:5)'),(6422,'2024-08-21 10:28:52',29,'conf---->AI(字串長度:2)---->PANEL(字串長度:5)'),(6423,'2024-08-21 10:28:52',30,'lecture_type---->KEYNOTE (字串長度:8)---->(字串長度:0)```conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6424,'2024-08-21 10:28:52',31,'lecture_type---->KEYNOTE (字串長度:8)---->(字串長度:0)```conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6425,'2024-08-21 10:28:52',34,'lecture_type---->(字串長度:0)---->KEYNOTE (字串長度:8)'),(6426,'2024-08-21 10:28:52',35,'lecture_type---->(字串長度:0)---->KEYNOTE (字串長度:8)'),(6427,'2024-08-21 10:28:53',66,'company---->中央研究院資訊科學研究所(字串長度:36)---->中研院(字串長度:9)'),(6428,'2024-08-21 10:28:53',68,'position---->(字串長度:0)---->執行長(字串長度:9)'),(6429,'2024-08-21 10:28:53',69,'company---->(台科大)(字串長度:11)---->台科大(字串長度:9)```position---->(字串長度:0)---->教授(字串長度:6)'),(6430,'2024-08-21 10:40:36',29,'talk_title2---->(字串長度:0)---->AI讓知識管理大轉型！看看落地現場和未來發展(字串長度:62)'),(6431,'2024-08-21 10:40:36',34,'talk_title2---->(字串長度:0)---->生成式AI在玉山(字串長度:20)'),(6432,'2024-08-21 10:40:36',35,'desc---->(字串長度:0)----> Large Language Models (LLMs) have been a major focus in the tech world for nearly two years, sparking debates over whether they are overhyped or genuinely transformative. In this talk, I will explore how CyCraft Technology has harnessed LLMs across various cybersecurity domains, focusing on three critical aspects: - The Good: Discover how LLM-empowered products significantly enhance the efficiency of security experts, reducing incident response times and revolutionizing threat management. - The Bad: Uncover the domain-specific challenges we encounter when integrating LLMs into cybersecurity, including issues of scalability, accuracy, and adaptation to rapidly evolving threats. - The Ugly: Examine the fundamental security vulnerabilities inherent in LLMs, highlighting the risks they pose and the potential for exploitation by malicious actors. Join us for an insightful journey into the practical applications, challenges, and pitfalls of deploying LLMs in the cybersecurity landscape.(字串長度:996)'),(6433,'2024-08-21 10:40:36',44,'talk_title2---->(字串長度:0)---->零售業的AI模型：從推薦系統到AI店長(字串長度:49)'),(6434,'2024-08-21 10:40:36',59,'desc---->(字串長度:0)---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1031)'),(6435,'2024-08-21 10:40:36',63,'talk_title2---->(字串長度:0)---->Breeze 2.0：具備使用外部API及其他開發導向功能之開源繁中語言模型(字串長度:88)```desc---->(字串長度:0)---->MediaTek Research is dedicated to the research and development of LLMs, with a particular focus on Traditional Chinese. In March 2023, we open-sourced the first LLMs for Traditional Chinese. In October 2023, we released the first comprehensive benchmark for Traditional Chinese LLMs. At the beginning of 2024, we open-sourced new Traditional Chinese LLMs, including Breeze-7B and BreeXe-8x7B. Breeze outperforms other models of the 7B-level in Chinese, while BreeXe performs on par with GPT-3.5 in both English and Traditional Chinese. MediaTek Research will continue to advance technology and support the Taiwan community through open-sourcing. In this talk, I will share with you Breeze 2.0, our new model featuring API capabilities and other development-oriented enhancements.(字串長度:779)'),(6436,'2024-08-21 10:44:09',29,'talk_title2---->(字串長度:0)---->AI讓知識管理大轉型！看看落地現場和未來發展(字串長度:62)'),(6437,'2024-08-21 10:44:10',34,'talk_title2---->(字串長度:0)---->生成式AI在玉山(字串長度:20)'),(6438,'2024-08-21 10:44:10',35,'desc---->(字串長度:0)----> Large Language Models (LLMs) have been a major focus in the tech world for nearly two years, sparking debates over whether they are overhyped or genuinely transformative. In this talk, I will explore how CyCraft Technology has harnessed LLMs across various cybersecurity domains, focusing on three critical aspects: - The Good: Discover how LLM-empowered products significantly enhance the efficiency of security experts, reducing incident response times and revolutionizing threat management. - The Bad: Uncover the domain-specific challenges we encounter when integrating LLMs into cybersecurity, including issues of scalability, accuracy, and adaptation to rapidly evolving threats. - The Ugly: Examine the fundamental security vulnerabilities inherent in LLMs, highlighting the risks they pose and the potential for exploitation by malicious actors. Join us for an insightful journey into the practical applications, challenges, and pitfalls of deploying LLMs in the cybersecurity landscape.(字串長度:996)'),(6439,'2024-08-21 10:44:10',44,'talk_title2---->(字串長度:0)---->零售業的AI模型：從推薦系統到AI店長(字串長度:49)'),(6440,'2024-08-21 10:44:10',59,'desc---->(字串長度:0)---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1031)'),(6441,'2024-08-21 10:44:10',63,'talk_title2---->(字串長度:0)---->Breeze 2.0：具備使用外部API及其他開發導向功能之開源繁中語言模型(字串長度:88)```desc---->(字串長度:0)---->MediaTek Research is dedicated to the research and development of LLMs, with a particular focus on Traditional Chinese. In March 2023, we open-sourced the first LLMs for Traditional Chinese. In October 2023, we released the first comprehensive benchmark for Traditional Chinese LLMs. At the beginning of 2024, we open-sourced new Traditional Chinese LLMs, including Breeze-7B and BreeXe-8x7B. Breeze outperforms other models of the 7B-level in Chinese, while BreeXe performs on par with GPT-3.5 in both English and Traditional Chinese. MediaTek Research will continue to advance technology and support the Taiwan community through open-sourcing. In this talk, I will share with you Breeze 2.0, our new model featuring API capabilities and other development-oriented enhancements.(字串長度:779)'),(6442,'2024-08-21 10:46:36',29,'talk_title2---->(字串長度:0)---->AI讓知識管理大轉型！看看落地現場和未來發展(字串長度:62)'),(6443,'2024-08-21 10:46:36',34,'talk_title2---->(字串長度:0)---->生成式AI在玉山(字串長度:20)'),(6444,'2024-08-21 10:46:36',35,'desc---->(字串長度:0)----> Large Language Models (LLMs) have been a major focus in the tech world for nearly two years, sparking debates over whether they are overhyped or genuinely transformative. In this talk, I will explore how CyCraft Technology has harnessed LLMs across various cybersecurity domains, focusing on three critical aspects: - The Good: Discover how LLM-empowered products significantly enhance the efficiency of security experts, reducing incident response times and revolutionizing threat management. - The Bad: Uncover the domain-specific challenges we encounter when integrating LLMs into cybersecurity, including issues of scalability, accuracy, and adaptation to rapidly evolving threats. - The Ugly: Examine the fundamental security vulnerabilities inherent in LLMs, highlighting the risks they pose and the potential for exploitation by malicious actors. Join us for an insightful journey into the practical applications, challenges, and pitfalls of deploying LLMs in the cybersecurity landscape.(字串長度:996)'),(6445,'2024-08-21 10:46:36',44,'talk_title2---->(字串長度:0)---->零售業的AI模型：從推薦系統到AI店長(字串長度:49)'),(6446,'2024-08-21 10:46:37',59,'desc---->(字串長度:0)---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1031)'),(6447,'2024-08-21 10:46:37',63,'talk_title2---->(字串長度:0)---->Breeze 2.0：具備使用外部API及其他開發導向功能之開源繁中語言模型(字串長度:88)```desc---->(字串長度:0)---->MediaTek Research is dedicated to the research and development of LLMs, with a particular focus on Traditional Chinese. In March 2023, we open-sourced the first LLMs for Traditional Chinese. In October 2023, we released the first comprehensive benchmark for Traditional Chinese LLMs. At the beginning of 2024, we open-sourced new Traditional Chinese LLMs, including Breeze-7B and BreeXe-8x7B. Breeze outperforms other models of the 7B-level in Chinese, while BreeXe performs on par with GPT-3.5 in both English and Traditional Chinese. MediaTek Research will continue to advance technology and support the Taiwan community through open-sourcing. In this talk, I will share with you Breeze 2.0, our new model featuring API capabilities and other development-oriented enhancements.(字串長度:779)'),(6448,'2024-08-21 10:53:23',34,'lecture_type---->KEYNOTE (字串長度:8)---->(字串長度:0)'),(6449,'2024-08-21 10:53:23',35,'lecture_type---->KEYNOTE (字串長度:8)---->(字串長度:0)'),(6450,'2024-08-21 10:53:23',66,'company_for_agenda---->(字串長度:0)---->中研院(字串長度:9)'),(6451,'2024-08-21 10:53:23',68,'company_for_agenda---->(字串長度:0)---->Devcore(字串長度:7)```position_for_agenda---->(字串長度:0)---->執行長(字串長度:9)'),(6452,'2024-08-21 10:53:23',69,'company_for_agenda---->(字串長度:0)---->台科大(字串長度:9)```position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(6453,'2024-08-21 10:55:19',26,'position2---->(字串長度:0)---->地理資訊專題中心執行長(字串長度:33)'),(6454,'2024-08-21 10:55:19',30,'position2---->(字串長度:0)---->創辦人(字串長度:9)'),(6455,'2024-08-21 10:55:19',64,'position2---->(字串長度:0)---->技術副總(字串長度:12)'),(6456,'2024-08-21 10:58:02',51,'desc---->(字串長度:0)---->TBC(字串長度:3)'),(6457,'2024-08-21 10:58:03',65,'name---->Jason Huang(黃彥翔)(字串長度:22)---->黃彥翔(字串長度:9)```company---->Cadence應用工程總監(字串長度:25)---->Cadence(字串長度:7)```position---->(字串長度:0)---->應用工程總監(字串長度:18)```company_for_agenda---->(字串長度:0)---->Cadence(字串長度:7)```position_for_agenda---->(字串長度:0)---->應用工程總監(字串長度:18)'),(6458,'2024-08-21 11:06:35',10,'company_for_agenda---->(字串長度:0)---->CHT(字串長度:3)'),(6459,'2024-08-21 11:29:30',30,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)```conf---->AI(字串長度:2)---->AIK(字串長度:3)'),(6460,'2024-08-21 11:37:44',31,'company_for_agenda---->(字串長度:0)---->Taiwan AI Academy(字串長度:17)```position_for_agenda---->(字串長度:0)---->校務長(字串長度:9)'),(6461,'2024-08-21 13:17:38',49,'name2---->Chungyeh Wang (字串長度:14)---->Chungyeh Wang(字串長度:13)```anchor---->chungyeh-wang-(字串長度:14)---->chungyeh-wang(字串長度:13)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->Intel (字串長度:6)---->Intel(字串長度:5)```position----> Platform Software Architect(字串長度:28)---->Network and Edge Group, Intel / Platform Software Architect(字串長度:59)```me_desc---->(字串長度:0)---->An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience.\n\n美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。\n(字串長度:676)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6462,'2024-08-21 15:12:17',14,'company---->AI & Data Engineering Div(AIDE)(字串長度:31)---->MediaTek(字串長度:8)```position---->AI & Data Engineering Div/the head of AIDE (字串長度:43)---->AI & Data Engineering Div/The Head of AIDE (字串長度:43)'),(6463,'2024-08-21 15:12:17',26,'company---->國立中央大學(字串長度:18)---->國立中央大學資訊工程系(字串長度:33)```position---->資訊工程系教授(字串長度:21)---->教授(字串長度:6)'),(6464,'2024-08-21 15:12:18',51,'talk_title---->TBC(字串長度:3)---->(字串長度:0)```desc---->TBC(字串長度:3)---->(字串長度:0)'),(6465,'2024-08-21 15:28:25',64,'me_desc---->https://docs.google.com/document/d/1QePIlA_qaP4Gv5XmREAaWN_tygT4c5Kd/edit?usp=sharing&ouid=105625107378885983580&rtpof=true&sd=true(字串長度:131)---->CH is the VP of Technology at cacaFly Cloud Intelligence Center. He has previously developed apps that have garnered millions of downloads and reached top ranks on Google and Apple charts, as well as managing high-traffic network services with billions of data flow. He is also a speaker at TEDx and AWS SUMMIT, as well as a speaker at the Taiwan Artificial Intelligence Conference and an adjunct lecturer at National Taiwan University of Science and Technology.\n(字串長度:463)'),(6466,'2024-08-21 17:37:52',4,'company_for_agenda---->(字串長度:0)---->和碩聯合科技(字串長度:18)```position_for_agenda---->(字串長度:0)---->董事長(字串長度:9)'),(6467,'2024-08-21 17:37:52',6,'company_for_agenda---->(字串長度:0)---->財團法人台灣人工智慧學校基金會(字串長度:45)```position_for_agenda---->(字串長度:0)---->執行長(字串長度:9)'),(6468,'2024-08-21 17:37:52',8,'company_for_agenda---->(字串長度:0)---->Qualcomm(字串長度:8)```position_for_agenda---->(字串長度:0)---->副總裁台灣、東南亞與紐澳區總裁(字串長度:45)'),(6469,'2024-08-21 17:37:52',9,'company_for_agenda---->(字串長度:0)---->晶創計劃(字串長度:12)```position_for_agenda---->(字串長度:0)---->副執行長(字串長度:12)'),(6470,'2024-08-21 17:37:52',12,'company---->中國鋼鐵公司(字串長度:18)---->中國鋼鐵公司綠能與系統整合研究發展處(字串長度:54)```position---->綠能與系統整合研究發展處(字串長度:36)---->(字串長度:0)```company_for_agenda---->(字串長度:0)---->中鋼公司綠能與系統整合研究發展處(字串長度:48)'),(6471,'2024-08-21 17:37:52',13,'company_for_agenda---->(字串長度:0)---->臺灣大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->終身特聘教授(字串長度:18)'),(6472,'2024-08-21 17:37:52',25,'company_for_agenda---->(字串長度:0)---->中央研究院資訊科技創新研究中心(字串長度:45)```position_for_agenda---->(字串長度:0)---->研究員(字串長度:9)'),(6473,'2024-08-21 17:37:52',15,'company_for_agenda---->(字串長度:0)---->財團法人台灣人工智慧學校基金會(字串長度:45)```position_for_agenda---->(字串長度:0)---->秘書長(字串長度:9)'),(6474,'2024-08-21 17:37:52',26,'company_for_agenda---->(字串長度:0)---->中研院人社中心(字串長度:21)```position_for_agenda---->(字串長度:0)---->研究員(字串長度:9)'),(6475,'2024-08-21 17:37:52',27,'company_for_agenda---->(字串長度:0)---->財政部財資中心(字串長度:21)```position_for_agenda---->(字串長度:0)---->主任(字串長度:6)'),(6476,'2024-08-21 17:37:52',30,'company_for_agenda---->(字串長度:0)---->英業達(字串長度:9)```position_for_agenda---->(字串長度:0)---->數位長暨資深副總經理(字串長度:30)'),(6477,'2024-08-21 17:45:35',11,'company_for_agenda---->(字串長度:0)---->國網中心(字串長度:12)```position_for_agenda---->(字串長度:0)---->主任(字串長度:6)'),(6478,'2024-08-21 17:45:35',12,'company_for_agenda---->中鋼公司綠能與系統整合研究發展處(字串長度:48)---->中鋼(字串長度:6)```position_for_agenda---->(字串長度:0)---->研究員(字串長度:9)'),(6479,'2024-08-21 17:45:35',13,'company_for_agenda---->臺灣大學(字串長度:12)---->臺大(字串長度:6)'),(6480,'2024-08-21 17:45:35',14,'company_for_agenda---->(字串長度:0)---->聯發科技(字串長度:12)'),(6481,'2024-08-21 17:45:35',25,'company_for_agenda---->中央研究院資訊科技創新研究中心(字串長度:45)---->中研院資創中心(字串長度:21)'),(6482,'2024-08-21 18:21:43',49,'talk_title---->(字串長度:0)---->Open platform for enterprise ready AI(字串長度:37)```talk_title2---->(字串長度:0)---->企業級AI的開放平台(字串長度:26)```desc---->(字串長度:0)---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)'),(6483,'2024-08-21 19:09:22',37,'company_for_agenda---->(字串長度:0)---->遠傳(字串長度:6)```position_for_agenda---->(字串長度:0)---->資訊暨數位轉型科技群執行副總(字串長度:42)'),(6484,'2024-08-21 19:09:23',40,'company_for_agenda---->(字串長度:0)---->逢甲大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->副教授(字串長度:9)'),(6485,'2024-08-21 19:09:23',41,'company_for_agenda---->(字串長度:0)---->逢甲大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->助理教授(字串長度:12)'),(6486,'2024-08-21 19:09:23',50,'company_for_agenda---->(字串長度:0)---->英業達(字串長度:9)```position_for_agenda---->(字串長度:0)---->AI 晶片設計處資深處長(字串長度:30)'),(6487,'2024-08-21 19:09:23',51,'company_for_agenda---->(字串長度:0)---->台灣大哥大(字串長度:15)```position_for_agenda---->(字串長度:0)---->資訊長(字串長度:9)'),(6488,'2024-08-21 19:09:23',52,'company_for_agenda---->(字串長度:0)---->安謀國際(字串長度:12)```position_for_agenda---->(字串長度:0)---->總裁(字串長度:6)'),(6489,'2024-08-21 19:09:23',53,'company_for_agenda---->(字串長度:0)---->資深業務副總經理(字串長度:24)```position_for_agenda---->(字串長度:0)---->AMD(字串長度:3)'),(6490,'2024-08-21 19:09:23',63,'company_for_agenda---->(字串長度:0)---->聯發科基地(字串長度:15)```position_for_agenda---->(字串長度:0)---->Senior Technology Manager(字串長度:25)'),(6491,'2024-08-21 19:09:23',64,'company_for_agenda---->(字串長度:0)---->cacaFly(字串長度:7)```position_for_agenda---->(字串長度:0)---->技術副總技術副總(字串長度:24)'),(6492,'2024-08-21 19:12:59',53,'company_for_agenda---->資深業務副總經理(字串長度:24)---->AMD(字串長度:3)```position_for_agenda---->AMD(字串長度:3)---->資深業務副總經理(字串長度:24)'),(6493,'2024-08-21 19:12:59',55,'company_for_agenda---->(字串長度:0)---->群聯電子(字串長度:12)```position_for_agenda---->(字串長度:0)---->技術長(字串長度:9)'),(6494,'2024-08-21 19:20:37',34,'position_for_agenda---->(字串長度:0)---->博士(字串長度:6)'),(6495,'2024-08-21 19:23:05',64,'position_for_agenda---->技術副總技術副總(字串長度:24)---->技術副總(字串長度:12)'),(6496,'2024-08-21 19:29:22',29,'position_for_agenda---->(字串長度:0)---->董事總經理(字串長度:15)'),(6497,'2024-08-21 20:10:46',14,'position_for_agenda---->(字串長度:0)---->協理(字串長度:6)'),(6498,'2024-08-21 20:10:46',29,'me_desc---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\r\n\r\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \r\n\r\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\r\n\r\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2142)---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\n\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \n\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\n\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2136)```company_for_agenda---->(字串長度:0)---->意藍(字串長度:6)'),(6499,'2024-08-21 20:10:46',31,'company_for_agenda---->Taiwan AI Academy(字串長度:17)---->台灣人工智慧學校(字串長度:24)'),(6500,'2024-08-21 20:10:47',63,'company2---->(聯發科基地)(字串長度:17)---->聯發科基地(字串長度:15)'),(6501,'2024-08-21 20:10:47',64,'position---->VP of Technology(字串長度:16)---->技術副總(字串長度:12)```position2---->技術副總(字串長度:12)---->(字串長度:0)'),(6502,'2024-08-21 20:13:08',63,'company_for_agenda---->聯發科基地(字串長度:15)---->聯發創新基地(字串長度:18)'),(6503,'2024-08-22 09:48:20',45,'company_for_agenda---->(字串長度:0)---->科科科(字串長度:9)'),(6504,'2024-08-22 09:48:20',46,'company_for_agenda---->(字串長度:0)---->叡揚資訊(字串長度:12)'),(6505,'2024-08-22 09:48:20',57,'company_for_agenda---->(字串長度:0)---->工研院(字串長度:9)'),(6506,'2024-08-22 09:48:20',66,'position_for_agenda---->(字串長度:0)---->副研究員(字串長度:12)'),(6507,'2024-08-22 09:48:20',67,'company_for_agenda---->(字串長度:0)---->台灣駭客協會(字串長度:18)```position_for_agenda---->(字串長度:0)---->顧問(字串長度:6)'),(6508,'2024-08-22 10:46:45',29,'company_for_agenda---->意藍(字串長度:6)---->意藍資訊(字串長度:12)'),(6509,'2024-08-22 10:46:45',37,'company_for_agenda---->遠傳(字串長度:6)---->遠傳電信(字串長度:12)'),(6510,'2024-08-22 10:46:45',45,'company_for_agenda---->科科科(字串長度:9)---->科科科技(字串長度:12)'),(6511,'2024-08-22 14:38:03',8,'anchor---->speaker-8(字串長度:9)---->st-liew(字串長度:7)'),(6512,'2024-08-22 14:38:03',11,'anchor---->speaker-11(字串長度:10)---->chau-lyan-chang(字串長度:15)'),(6513,'2024-08-22 14:38:03',14,'anchor---->speaker-14(字串長度:10)---->jason-yeh(字串長度:9)'),(6514,'2024-08-22 14:38:03',25,'anchor---->speaker-25(字串長度:10)---->yuh-jye-lee(字串長度:11)'),(6515,'2024-08-22 14:38:03',29,'anchor---->speaker-29(字串長度:10)---->willie-yang(字串長度:11)'),(6516,'2024-08-22 14:38:04',35,'anchor---->speaker-35(字串長度:10)---->cheng-lin-yang(字串長度:14)'),(6517,'2024-08-22 14:38:04',37,'anchor---->speaker-37(字串長度:10)---->peter-hu(字串長度:8)'),(6518,'2024-08-22 14:38:04',49,'anchor---->speaker-49(字串長度:10)---->chungyeh-wang(字串長度:13)'),(6519,'2024-08-22 14:38:04',51,'anchor---->speaker-51(字串長度:10)---->rock-tsai(字串長度:9)'),(6520,'2024-08-22 14:38:04',53,'anchor---->speaker-53(字串長度:10)---->ken-lin(字串長度:7)'),(6521,'2024-08-22 14:38:04',57,'anchor---->speaker-57(字串長度:10)---->kai-cheng-hsu(字串長度:13)'),(6522,'2024-08-22 14:38:04',59,'anchor---->speaker-59(字串長度:10)---->jessy-kang(字串長度:10)'),(6523,'2024-08-22 14:38:04',60,'anchor---->speaker-60(字串長度:10)---->dr.-bowen-chiu(字串長度:14)'),(6524,'2024-08-22 14:38:04',63,'anchor---->speaker-63(字串長度:10)---->yc-chen(字串長度:7)'),(6525,'2024-08-22 14:38:04',64,'anchor---->speaker-64(字串長度:10)---->wu-cheng-ho(字串長度:11)'),(6526,'2024-08-22 14:38:04',67,'anchor---->speaker-67(字串長度:10)---->jeremy-chiu(字串長度:11)'),(6527,'2024-08-22 15:25:42',34,'company_for_agenda---->(字串長度:0)---->玉山銀行(字串長度:12)'),(6528,'2024-08-22 15:27:33',44,'company_for_agenda---->(字串長度:0)---->91APP(字串長度:5)'),(6529,'2024-08-22 16:47:09',57,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院生醫與醫材研究所(字串長度:33)---->Industrial Technology Research Institute(字串長度:40)```position---->醫療長(字串長度:9)---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories, ITRI(字串長度:83)```me_desc---->(字串長度:0)---->許凱程醫師為神經科主治醫師，專長為失智症、腦中風與睡眠障礙治療；台大醫學系畢業後，致力於醫學與工程的跨領域結合，在工程方面取得國立中正大學化學工程博士與電機工程碩士，並於2018-2020赴美國國家衛生研究院的神經與腦中風機構，訊息與生物資訊部門擔任研究員。專長為人工智慧、系統生物學、生醫訊號處理與生物資訊學。許醫師有豐富的醫療人工智慧實作經驗，能夠結合臨床知識與人工智慧技術，提升AI在臨床醫療之應用，2020-2023擔任中國醫藥大學附設醫院人工智慧中心主任，領導該中心開發多項AI工具，於臨床上線使用，且取得TFDA智慧醫材認證，並已有多篇醫療人工智慧學術論文發表。2024年，加入工業技術研究院，進一步從事健康醫療產業領域的AI研究，包括人工智慧在醫學影像、生物醫學信號、電子病歷和生物資訊學的應用。(字串長度:1001)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6530,'2024-08-27 09:04:04',31,'company---->(字串長度:0)---->台灣人工智慧學校(字串長度:24)```position---->(字串長度:0)---->校務長(字串長度:9)'),(6531,'2024-08-27 09:04:04',26,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6532,'2024-08-27 09:04:04',27,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6533,'2024-08-27 09:04:04',29,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6534,'2024-08-27 09:04:04',46,'name2---->(字串長度:0)---->Stan Lin(字串長度:8)```anchor---->speaker-46(字串長度:10)---->stan-lin(字串長度:8)```talk_title---->(字串長度:0)---->Enterprise AI Application Practices - Expect the Unexpected!(字串長度:60)```talk_title2---->(字串長度:0)---->AI 在企業落地應用案例實務-期待意想不到的發展(字串長度:64)```position---->副總經理(字串長度:12)---->技術長(字串長度:9)```desc---->(字串長度:0)---->在本次演講中，我將介紹我們的 AI 之旅和路線圖，重點關注 NLP 和電腦視覺任務，試圖找出它們之間的聯繫，並描繪出主要進步可能來自何處。我還將介紹一些企業人工智慧應用用例並分享我們的實踐。最後，我對LLM和GenAI未來將為企業帶來什麼發展發表自己的看法。\r\n人工智慧的美妙之處在於它的不可預測性（這不是一個錯誤，而是一個功能，因為一切都是建立在機率之上的）。所有企業都應該預料到自己的計劃可能會因為一些性能比預期更好的新模型（如 Llama3 或 GPT5）或完全不同的、意想不到的東西而泡湯。新的模型、方法、資料集或伺服器可能會破壞原先場景。始終期待 LLM/GenAI 中出現意想不到的新發展。\r(字串長度:818)```me_desc---->(字串長度:0)---->林縣城先生目前任職叡揚資訊技術長，在此之前擔任執行長資深特助職務，曾任職財團法人資訊工業策進會中心主任、及資拓宏宇技術副總經理職務，主要負責技術研發技術研發及管理、業務發展及部門管理等工作。\r\n林先生具備超過30年資訊技術研發、資訊系統發展和專案管理經驗，曾領導和管理多個資訊技術研發計畫及資訊系統開發計畫，研發計畫主要包括知識庫系統技術研發計劃、排程系統技術研發計劃、推薦引擎研發計劃及RFID 中介軟體研發計畫等；資訊系統開發計畫主要包括知識庫系統發展工具、台灣鐵路局列車排點系統、航機負載平衡系統及高雄海關e-Seal系統等。\r\n林先生的專長領域包括人工智慧與知識庫技術、排程系統技術、資料探勘及文字探勘、企業應用軟體規劃、策略資訊系統規劃、軟體開發及架構設計、軟體工程專案管理、RFID技術應用、雲端運算、行動運算、記億體運算及商業智慧、技術研發及管理。\r(字串長度:1102)'),(6535,'2024-08-27 09:04:04',57,'position---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories, ITRI(字串長度:83)---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories(字串長度:77)'),(6536,'2024-08-27 11:01:57',37,'talk_title---->(字串長度:0)---->AI-Driven Future: FET\'s Digital Transformation Journey(字串長度:54)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->Information & Digital Transformation Technology(字串長度:47)---->Far EasTone Telecommunication Co., Ltd.(字串長度:39)```position---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)---->Information & Digital Transformation Technology/ CIO & Executive Vice President(字串長度:79)```desc---->(字串長度:0)---->Mr. Peter Hu, CIO of FET, will explore the challenges and opportunities of AI adoption in enterprise, such as lack of scenarios, monetization difficulties, ambiguous investment decisions, and insufficient .Peter Hu effective data. He will discuss how FET enhances productivity, fosters innovation, drives data-driven decisions, manages net-zero targets, and ensures digital resilience and security. This session will also cover how these capabilities align with FET\'s technological, organizational, cultural, and financial transformation strategies.(字串長度:549)```me_desc---->\"In August 2021, Mr. Peter joined Far EasTone Telecommunications as the Executive Vice President and Chief Information Officer of the Information and Digital Transformation Technology Group. Peter\'s role encompasses driving the transformation of information services, spearheading the development of next-generation digital user experiences for 5G, and leading the creation of enterprise solutions and consultancy services in the realms of \"\"Big Data, Artificial Intelligence, and Internet of Things\"\" under the Far EasTone brand. Additionally, Peter has taken the lead in establishing the Far EasTone Innovation Accelerator.\n2021 年 8 月加入遠傳電信，擔任資訊暨數位轉型科技群執行副總經理及資訊長\n負責推動資訊服務轉型、5G的新一代數位用戶體驗發展以及遠傳「大人物（大數據、人工智慧、物聯網）」的企業解決方案與顧問服務，並主導成立遠傳新創加速器。\n\"(字串長度:948)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6537,'2024-08-27 11:01:58',55,'company---->\r\n群聯電子股份有限公司(字串長度:32)---->群聯電子股份有限公司(字串長度:30)'),(6538,'2024-08-27 11:01:58',68,'name2---->(字串長度:0)---->Allen Own(字串長度:9)```anchor---->speaker-68(字串長度:10)---->allen-own(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Devcore(字串長度:7)---->DEVCORE(字串長度:7)```position---->執行長(字串長度:9)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\n\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1044)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->Devcore(字串長度:7)---->DEVCORE(字串長度:7)```position_for_agenda---->執行長(字串長度:9)---->CEO(字串長度:3)'),(6539,'2024-08-27 11:41:02',54,'position---->產品研中心BU12事業部事業總處處長 (字串長度:47)---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)'),(6540,'2024-08-27 11:41:02',66,'name2---->(字串長度:0)---->Hen-Hsen Huang(字串長度:14)```anchor---->speaker-66(字串長度:10)---->hen-hsen-huang(字串長度:14)```talk_title---->(字串長度:0)---->The Development of Multimodal TAIDE Models (字串長度:43)```talk_title2---->(字串長度:0)---->多模態 TAIDE 模型的發展(字串長度:31)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中研院(字串長度:9)---->Institute of Information Science, Academia Sinica(字串長度:49)```position---->副研究員(字串長度:12)---->Associate Research Fellow(字串長度:25)```me_desc---->(字串長度:0)---->Dr. Huang\'\'s research focuses on the investigation of computational approaches for modeling the interplay between figurative language processing and human knowledge representation, leading the pioneering work in Chinese discourse analysis. His works have been published in SCI/SSCI journals and top-tier conferences in the venues of artificial intelligence, computational linguistics, natural language processing, and information retrieval. Prior to joining the Institute of Information Science, Academia Sinica, Dr. Huang was an assistant professor in the Department of Computer Science at the National Chengchi University. His award and honors include the Honorable Mention of Doctoral Dissertation Award of ACLCLP in 2014 and the Honorable Mention of Master Thesis Award of ACLCLP in 2008. He served as the registration chair of TAAI 2017, the publication chair of ROCLING 2020, and as PC members of representative conferences in computational linguistics including ACL, COLING, EMNLP, and NAACL. He was one of organizers of FinNum Task at NTCIR-2014 and FinNLP Workshop at IJCAI 2019.(字串長度:1088)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://homepage.iis.sinica.edu.tw/pages/hhhuang/vita_zh.html(字串長度:61)'),(6541,'2024-08-27 13:16:44',31,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6542,'2024-08-27 13:16:44',71,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6543,'2024-08-27 13:16:44',54,'name----> 楊子翔(字串長度:10)---->楊子翔(字串長度:9)'),(6544,'2024-08-27 14:39:33',34,'position---->(字串長度:0)---->總工程師(字串長度:12)```position_for_agenda---->博士(字串長度:6)---->(字串長度:0)'),(6545,'2024-08-28 10:26:36',60,'name2---->Dr. Bowen Chiu(字串長度:14)---->Bowen Chiu(字串長度:10)```anchor---->dr.-bowen-chiu(字串長度:14)---->bowen-chiu(字串長度:10)```talk_title---->(字串長度:0)---->Taiwan government AI designer(字串長度:29)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->卡米爾(字串長度:9)---->CAMEO(字串長度:5)```position---->創辦人暨技術長 (字串長度:22)---->Designer(字串長度:8)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6546,'2024-08-28 10:26:36',68,'talk_title---->(字串長度:0)---->The Evolution of Cybersecurity Attacks in the GenAI Era(字串長度:55)```talk_title2---->(字串長度:0)---->GenAI 時代資安攻擊的演進(字串長度:33)'),(6547,'2024-08-28 10:26:36',69,'name2---->(字串長度:0)---->Shi-Cho Cha(字串長度:11)```anchor---->speaker-69(字串長度:10)---->shi-cho-cha(字串長度:11)```talk_title---->(字串長度:0)---->AI and Security Governance(字串長度:26)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台科大(字串長度:9)---->National Taiwan University of Science and Technology(字串長度:52)```position---->教授(字串長度:6)---->Department of Information Management, Chairman and Professor(字串長度:60)```company2---->(字串長度:0)---->台科大(字串長度:9)```position2---->(字串長度:0)---->教授(字串長度:6)```me_desc---->(字串長度:0)---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \n\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1192)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://sites.google.com/cs.ntust.edu.tw/shihchaocha(字串長度:52)'),(6548,'2024-08-28 11:14:32',4,'me_desc---->(字串長度:0)---->童子賢先生是和碩集團創辦人與董事長，也是台北市電腦公會榮譽理事長。和碩集團從事代工、設計、製造與服務等多元化業務，同時將觸角擴及金屬機殼、隱形眼鏡等不同領域。童子賢先生自台北科技大學畢業後即進入宏碁電腦工作，於1989年與謝偉琦、廖敏雄、及徐世昌四人共同創立華碩電腦，在華碩時期他帶領團隊發展筆記型電腦品牌，其後華碩筆電不但榮登台灣市佔率第一名，更成為全球前十大筆記型電腦品牌。於2007年，華碩與和碩宣布分家，童子賢先生進入和碩擔任董事長暨策略長，和碩聯合科技以強大的設計實力與經驗，在電子代工產業獨樹一格，運用所擁有的2,216億台幣淨資產，讓全球所有據點共約16萬名的員工，持續在這個世界級舞台發光發熱，2023年的合併營收達新台幣1兆2,568億元。(字串長度:937)'),(6549,'2024-08-28 11:14:32',34,'talk_title---->(字串長度:0)---->The Development of E.SUN BANK in GenAI\r\nGenAI Adoption in E.SUN BANK(字串長度:68)'),(6550,'2024-08-28 11:14:32',41,'name2---->(字串長度:0)---->Che-Wei Chou(字串長度:12)```anchor---->speaker-41(字串長度:10)---->che-wei-chou(字串長度:12)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->逢甲大學工業工程與系統管理學系(字串長度:45)---->Feng Chia University(字串長度:20)```position---->助理教授(字串長度:12)---->Department of Industrial Engineering and Systems Management, Assistant Professor(字串長度:80)```me_desc---->(字串長度:0)---->Dr. Che-Wei Chou is an assistant professor at the Department of Industrial Engineering and Systems Management at Feng Chia University. He received a Ph.D. degree in Industrial Engineering and Engineering Management from National Tsing Hua University, Taiwan, in 2016. He also received a B.S. degree and M.S. in physics from Industrial Engineering Management from Yuan Ze University, Taiwan, in 2001 and 2003, respectively. He served as the CEO of Artificial Intelligence for Intelligent Manufacturing Systems (AIMS) Research Center, MOST, Taiwan. He is dedicated to coordinating research teams and executing research projects to build on Taiwan\'s strength in manufacturing to update and transform industries, bridge partnerships between academia and industry for innovation and entrepreneurship, export AI solutions for intelligent manufacturing, and elevate Taiwan\'s global visibility and influence in AI.(字串長度:906)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6551,'2024-08-28 11:14:32',65,'name2---->(字串長度:0)---->Jason Huang(字串長度:11)```anchor---->speaker-65(字串長度:10)---->jason-huang(字串長度:11)```talk_title---->(字串長度:0)---->Intelligent System Design for Optimized IC Design (字串長度:50)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Cadence(字串長度:7)---->Cadence Design Systems(字串長度:22)```position---->應用工程總監(字串長度:18)---->1.	Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:87)```me_desc---->(字串長度:0)---->1.        Cadence Application Engineering Director for Digital Implementation & Signoff Group to support Taiwan customer success in technology and tool application.\n2.        More than 20+ years working experiences in IC Design field with major focus on STA/RC Extraction/IR closure and signoff till 3nm process node.\n3.        In recent years, he supports customer in successfully applying the latest intelligence AI technology for rapid IR design closure to achieve optimized performance in IC design. (字串長度:504)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6552,'2024-08-28 17:46:10',8,'me_desc---->(字串長度:0)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\r\n\r\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\r\n\r\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\r\n\r\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\r\n\r\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\r(字串長度:975)'),(6553,'2024-08-28 17:46:10',11,'me_desc---->(字串長度:0)---->EDUCATION \r\nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\r\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \r\nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\r\n\r\nEXPERIENCE\r\nDirector General, National Center for High Performance Computing (2022-present)\r\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\r\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\r\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\r\n\r\nCURRENT MAJOR RESEARCH PROJECTS \r\n1.	Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \r\n2.	Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \r\n3.	Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \r\n4.	Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\r(字串長度:1586)'),(6554,'2024-08-28 17:46:10',12,'name2---->(字串長度:0)---->Chao-Yung Hsu(字串長度:13)```anchor---->speaker-12(字串長度:10)---->chao-yung-hsu(字串長度:13)```talk_title---->(字串長度:0)---->The Journey of Digital Transformation in the Steel Industry Driven by AI Technology(字串長度:83)```talk_title2---->(字串長度:0)---->AI技術驅動的鋼鐵工業數位轉型之路(字串長度:47)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中國鋼鐵公司綠能與系統整合研究發展處(字串長度:54)---->China Steel Corporation(字串長度:23)```position---->(字串長度:0)---->Intelligent Solution Technology Section, Scientist(字串長度:50)```me_desc---->(字串長度:0)---->Dr. Chao-Yung Hsu received his Ph.D. from the Graduate Institute of Communication Engineering at National Taiwan University (NTU) in 2012, focusing on computer vision, information security, and artificial intelligence. From 2012 to 2014, he served as a postdoctoral researcher at the Institute of Information Science, Academia Sinica, where he specialized in AI research. Since 2014, Dr. Hsu has been with China Steel Corporation, leveraging computer vision and AI technologies to optimize steel manufacturing processes and implement automation. His work includes successfully completing over ten projects, such as the development of unmanned crane systems. Since 2023, he has been contributing to China Steel\'s digital transformation efforts, focusing on integrating innovative technologies to enhance operational efficiency and improve workflows.(字串長度:848)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6555,'2024-08-29 23:23:50',9,'name2---->(字串長度:0)---->Mark Liao(字串長度:9)```anchor---->speaker-9(字串長度:9)---->mark-liao(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->晶創計劃(字串長度:12)---->The Institute of Information Science, Academia Sinica(字串長度:53)```position---->副執行長(字串長度:12)---->Director and Distinguished Research Fellow(字串長度:42)```me_desc---->(字串長度:0)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6556,'2024-08-29 23:23:50',34,'talk_title---->The Development of E.SUN BANK in GenAI\r\nGenAI Adoption in E.SUN BANK(字串長度:68)---->(字串長度:0)'),(6557,'2024-08-29 23:23:50',72,'company---->MSI(字串長度:3)---->MSI 微星科技 (字串長度:17)```position---->Platform Software Solution Div. AVP (Assistant Vice President)(字串長度:62)---->Platform Software Solution Div. Senior AVP(字串長度:42)```company_for_agenda---->(字串長度:0)---->MSI 微星科技(字串長度:16)```position_for_agenda---->(字串長度:0)---->研發資深協理(字串長度:18)'),(6558,'2024-08-29 23:23:50',54,'name2---->(字串長度:0)---->Robe Yang(字串長度:9)```anchor---->speaker-54(字串長度:10)---->robe-yang(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->廣達電腦股份有限公司(字串長度:30)---->Quanta Computer Inc.(字串長度:20)```position---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)---->BU12. Senior Director.(字串長度:22)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->處長 (字串長度:7)---->資深處長 (字串長度:13)'),(6559,'2024-08-30 15:03:17',72,'desc---->\n(字串長度:1)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)'),(6560,'2024-08-30 15:03:17',43,'desc---->(字串長度:0)---->*AI PC(字串長度:6)'),(6561,'2024-08-30 15:03:17',45,'name2---->(字串長度:0)---->Shuen-Huei Guan(字串長度:15)```anchor---->speaker-45(字串長度:10)---->shuen-huei-guan(字串長度:15)```talk_title---->(字串長度:0)---->Orchestrating the Future: AI Innovations in Music Streaming \n\n(字串長度:62)```talk_title2---->(字串長度:0)---->協奏個未來：AI 創新如何重塑音樂串流(字串長度:51)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->科科科技股份有限公司核心技術研發中心(字串長度:54)---->KKCompany Technologies(字串長度:22)```position---->執行副總經理(字串長度:18)---->Chief Scientist, Chief Scientist Office(字串長度:39)```desc---->(字串長度:0)---->For individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.(字串長度:329)```me_desc---->(字串長度:0)---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\n\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:901)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->(字串長度:0)---->Chief Scientist(字串長度:15)```website---->(字串長度:0)---->https://about.me/drakeguan(字串長度:26)'),(6562,'2024-08-30 15:03:17',46,'desc---->在本次演講中，我將介紹我們的 AI 之旅和路線圖，重點關注 NLP 和電腦視覺任務，試圖找出它們之間的聯繫，並描繪出主要進步可能來自何處。我還將介紹一些企業人工智慧應用用例並分享我們的實踐。最後，我對LLM和GenAI未來將為企業帶來什麼發展發表自己的看法。\r\n人工智慧的美妙之處在於它的不可預測性（這不是一個錯誤，而是一個功能，因為一切都是建立在機率之上的）。所有企業都應該預料到自己的計劃可能會因為一些性能比預期更好的新模型（如 Llama3 或 GPT5）或完全不同的、意想不到的東西而泡湯。新的模型、方法、資料集或伺服器可能會破壞原先場景。始終期待 LLM/GenAI 中出現意想不到的新發展。\r(字串長度:818)---->(字串長度:0)'),(6563,'2024-08-30 15:03:17',49,'desc---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)---->*AI Server and AI AMR Robot(字串長度:27)'),(6564,'2024-08-30 15:03:17',51,'desc---->(字串長度:0)---->For enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.(字串長度:269)'),(6565,'2024-08-30 15:03:17',55,'desc---->(字串長度:0)---->We will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.(字串長度:168)'),(6566,'2024-08-30 16:18:25',55,'name2---->(字串長度:0)---->Wei Lin(字串長度:7)```anchor---->speaker-55(字串長度:10)---->wei-lin(字串長度:7)```talk_title---->(字串長度:0)---->Breaking Barriers in Generative AI Deployment: Phison  aiDAPTIV(字串長度:63)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->群聯電子股份有限公司(字串長度:30)---->Phison(字串長度:6)```position---->技術長(字串長度:9)---->CTO(字串長度:3)```desc---->We will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.(字串長度:168)---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs. \n(字串長度:865)```me_desc---->(字串長度:0)---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide. Dr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.(字串長度:810)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6567,'2024-08-30 18:41:41',4,'name2---->(字串長度:0)---->T.H. Tung(字串長度:9)```anchor---->speaker-4(字串長度:9)---->t.h.-tung(字串長度:9)```talk_title---->(字串長度:0)---->AI-Driven Revolution: Opportunities for Taiwan\'s Industries(字串長度:59)```talk_title2---->(字串長度:0)---->AI驅動革命 台灣產業的機會(字串長度:36)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->和碩聯合科技股份有限公司(字串長度:36)---->Pegatron Corporation(字串長度:20)```position---->董事長(字串長度:9)---->Chairman(字串長度:8)```me_desc---->童子賢先生是和碩集團創辦人與董事長，也是台北市電腦公會榮譽理事長。和碩集團從事代工、設計、製造與服務等多元化業務，同時將觸角擴及金屬機殼、隱形眼鏡等不同領域。童子賢先生自台北科技大學畢業後即進入宏碁電腦工作，於1989年與謝偉琦、廖敏雄、及徐世昌四人共同創立華碩電腦，在華碩時期他帶領團隊發展筆記型電腦品牌，其後華碩筆電不但榮登台灣市佔率第一名，更成為全球前十大筆記型電腦品牌。於2007年，華碩與和碩宣布分家，童子賢先生進入和碩擔任董事長暨策略長，和碩聯合科技以強大的設計實力與經驗，在電子代工產業獨樹一格，運用所擁有的2,216億台幣淨資產，讓全球所有據點共約16萬名的員工，持續在這個世界級舞台發光發熱，2023年的合併營收達新台幣1兆2,568億元。(字串長度:937)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6568,'2024-08-30 18:41:42',31,'talk_title---->(字串長度:0)---->Intelligent Leap: The Transformative Journey of Taiwan AI Academy(字串長度:65)```talk_title2---->(字串長度:0)---->智慧躍升: 台灣人工智慧學校的蛻變之路(字串長度:53)'),(6569,'2024-09-03 10:49:18',22,'company---->(字串長度:0)---->國家科學及技術委員會(字串長度:30)```position---->(字串長度:0)---->主任委員(字串長度:12)```company_for_agenda---->(字串長度:0)---->國家科學及技術委員會(字串長度:30)```position_for_agenda---->(字串長度:0)---->主委(字串長度:6)'),(6570,'2024-09-03 10:49:18',23,'company---->(字串長度:0)---->長庚大學人工智慧學系(字串長度:30)```position---->(字串長度:0)---->教授(字串長度:6)```company_for_agenda---->(字串長度:0)---->長庚大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(6571,'2024-09-03 10:49:18',30,'lecture_type---->陳昇瑋紀念講座(字串長度:21)---->(字串長度:0)'),(6572,'2024-09-03 10:49:18',34,'name2---->(字串長度:0)---->Shih-Chen Huang(字串長度:15)```anchor---->speaker-34(字串長度:10)---->shih-chen-huang(字串長度:15)```talk_title---->(字串長度:0)---->The Development of E.SUN BANK in GenAI(字串長度:38)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->玉山銀行(字串長度:12)---->Intelligent Banking Division\nE.SUN BANK(字串長度:39)```position---->總工程師(字串長度:12)---->Executive Vice President(字串長度:24)```me_desc---->(字串長度:0)---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1303)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->(字串長度:0)---->資料科學總監(字串長度:18)'),(6573,'2024-09-03 10:49:18',72,'desc---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\n*AI PC\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\n*AI Server and AI AMR Robot\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\n(字串長度:1040)'),(6574,'2024-09-03 10:49:18',43,'desc---->*AI PC(字串長度:6)---->(字串長度:0)'),(6575,'2024-09-03 10:49:18',46,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->叡揚資訊股份有限公司技術服務總處暨創新研發中心(字串長度:69)---->Galaxy Software Services Corp.(字串長度:30)```position---->技術長(字串長度:9)---->Innovation Research Center, CTO(字串長度:31)```desc---->(字串長度:0)---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\n(字串長度:722)```me_desc---->林縣城先生目前任職叡揚資訊技術長，在此之前擔任執行長資深特助職務，曾任職財團法人資訊工業策進會中心主任、及資拓宏宇技術副總經理職務，主要負責技術研發技術研發及管理、業務發展及部門管理等工作。\r\n林先生具備超過30年資訊技術研發、資訊系統發展和專案管理經驗，曾領導和管理多個資訊技術研發計畫及資訊系統開發計畫，研發計畫主要包括知識庫系統技術研發計劃、排程系統技術研發計劃、推薦引擎研發計劃及RFID 中介軟體研發計畫等；資訊系統開發計畫主要包括知識庫系統發展工具、台灣鐵路局列車排點系統、航機負載平衡系統及高雄海關e-Seal系統等。\r\n林先生的專長領域包括人工智慧與知識庫技術、排程系統技術、資料探勘及文字探勘、企業應用軟體規劃、策略資訊系統規劃、軟體開發及架構設計、軟體工程專案管理、RFID技術應用、雲端運算、行動運算、記億體運算及商業智慧、技術研發及管理。\r(字串長度:1102)---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\n(字串長度:1037)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6576,'2024-09-03 10:49:18',49,'desc---->*AI Server and AI AMR Robot(字串長度:27)---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)'),(6577,'2024-09-03 10:49:18',50,'name2---->(字串長度:0)---->Kevin Hsu(字串長度:9)```anchor---->speaker-50(字串長度:10)---->kevin-hsu(字串長度:9)```talk_title---->(字串長度:0)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)```talk_title2---->(字串長度:0)---->水冷不要. 實現超低能耗專屬大型語言模型NPU IP (字串長度:63)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->Inventec 英業達(字串長度:18)---->Inventec AI center(字串長度:18)```position---->AI晶片設計處資深處長(字串長度:29)---->Senior Director(字串長度:15)```company2---->(字串長度:0)---->AI on Chip of AI Center(字串長度:23)```me_desc---->(字串長度:0)---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:892)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6578,'2024-09-03 10:49:18',51,'desc---->For enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.(字串長度:269)---->(字串長度:0)'),(6579,'2024-09-03 10:49:18',52,'name---->曾志光(字串長度:9)---->徐達勇(字串長度:9)```position---->總裁(字串長度:6)---->應用工程總監(字串長度:18)```position_for_agenda---->總裁(字串長度:6)---->應用工程總監(字串長度:18)'),(6580,'2024-09-03 10:49:18',54,'talk_title---->(字串長度:0)---->From no-code, low-code to full-code AI model DevOps: QOCA aim, an AI Medical Platform(字串長度:85)```talk_title2---->(字串長度:0)---->從 No-code 到 Full-code AI 模型開發與維運解決方案：廣達人工智慧醫療雲解決方案(字串長度:104)```desc---->(字串長度:0)---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\r(字串長度:804)```me_desc---->(字串長度:0)---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\r\n \r\nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1474)'),(6581,'2024-09-03 10:49:18',55,'desc---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs. \n(字串長度:865)---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs.(字串長度:863)```me_desc---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide. Dr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.(字串長度:810)---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide.\r\n\r\nDr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.\r\n(字串長度:815)'),(6582,'2024-09-03 10:49:18',60,'talk_title---->Taiwan government AI designer(字串長度:29)---->The Taiwan government\'s challenges and unexpected word-of-mouth success in introducing AI(字串長度:89)```talk_title2---->(字串長度:0)---->臺灣政府導入AI的地雷經驗與驚喜口碑(字串長度:50)```desc---->(字串長度:0)---->Ministry of Education\'s AI English Speaking Inspirational Game\r\nMinistry of the Interior\'s Big Data AI Code Generation\r\nMinistry of the Environment AI Air Pollution Tracing\r\nMinistry of Agriculture AI Legislative Inquiry and Response\r\nMinistry of Digital Affairs Government Plan AI-Assisted Review\r\nPractical Experiences in Developing Government AI(字串長度:348)```me_desc---->(字串長度:0)---->Taiwan government AI designer\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:88)'),(6583,'2024-09-03 10:49:18',64,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6584,'2024-09-03 10:49:18',65,'position---->1.	Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:87)---->Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:84)'),(6585,'2024-09-03 10:54:06',2,'hide---->1(字串長度:1)---->0(字串長度:1)'),(6586,'2024-09-03 10:57:17',1,'hide---->1(字串長度:1)---->0(字串長度:1)'),(6587,'2024-09-03 11:39:41',1,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6588,'2024-09-03 11:39:41',2,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6589,'2024-09-03 11:39:41',3,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6590,'2024-09-03 11:39:41',25,'anchor---->yuh-jye-lee(字串長度:11)---->yuh-jye-lee-2(字串長度:13)'),(6591,'2024-09-03 13:34:54',102,'talk_title---->(字串長度:0)---->Secure AI Inference Techniques: A Tutorial(字串長度:42)'),(6592,'2024-09-03 13:34:54',9,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)'),(6593,'2024-09-04 08:42:16',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6594,'2024-09-04 08:42:16',8,'me_desc---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\r\n\r\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\r\n\r\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\r\n\r\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\r\n\r\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\r\n(字串長度:976)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\n(字串長度:967)'),(6595,'2024-09-04 08:42:17',11,'me_desc---->EDUCATION \r\nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\r\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \r\nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\r\n\r\nEXPERIENCE\r\nDirector General, National Center for High Performance Computing (2022-present)\r\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\r\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\r\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\r\n\r\nCURRENT MAJOR RESEARCH PROJECTS \r\n1.	Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \r\n2.	Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \r\n3.	Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \r\n4.	Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\r\n(字串長度:1587)---->EDUCATION \nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\n\nEXPERIENCE\nDirector General, National Center for High Performance Computing (2022-present)\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\n\nCURRENT MAJOR RESEARCH PROJECTS \n1.        Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \n2.        Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \n3.        Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \n4.        Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\n(字串長度:1599)'),(6596,'2024-09-04 08:42:17',101,'lecture_type---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6597,'2024-09-04 08:42:17',22,'lecture_type---->Panel Discussion(字串長度:16)---->(字串長度:0)'),(6598,'2024-09-04 08:42:17',71,'talk_title---->(字串長度:0)---->Close Talk(字串長度:10)'),(6599,'2024-09-04 08:42:17',41,'anchor---->che-wei-chou(字串長度:12)---->che-wei-chou-2(字串長度:14)'),(6600,'2024-09-04 08:47:26',42,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6601,'2024-09-04 08:52:57',57,'name2---->Kai-Cheng Hsu(字串長度:13)---->Edward Kai-Cheng Hu(字串長度:19)```anchor---->kai-cheng-hsu(字串長度:13)---->edward-kai-cheng-hu(字串長度:19)```talk_title---->(字串長度:0)---->Agentic LLM and Smart Healthcare(字串長度:32)```talk_title2---->(字串長度:0)---->代理大型語言模型與智慧醫療(字串長度:39)```desc---->(字串長度:0)---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\r\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\r\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\r(字串長度:1503)'),(6602,'2024-09-04 10:49:03',100,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6603,'2024-09-04 10:49:03',33,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(6604,'2024-09-04 10:49:04',62,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6605,'2024-09-04 17:38:53',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6606,'2024-09-04 17:38:53',14,'me_desc---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\r\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\r\n\r\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\r\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\r\n\r\n(字串長度:677)---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\n\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\n\n(字串長度:671)'),(6607,'2024-09-04 17:38:53',9,'me_desc---->EDUCATION\r\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\r\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\r\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\r\n\r\nPROFESSIONAL POSITIONS\r\n\r\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\r\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\r\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\r\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\r\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\r\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\r\n•         Director, Academia Sinica Computing Center (2006-08)\r\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\r\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\r\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\r\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\r\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\r\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\r\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\r\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\r\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\r\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\r\n•         Associate Editor, ACM Computing Surveys (2018-21)\r\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\r\n\r\nRESEARCH INTERESTS\r\n•        Multimedia Information Processing\r\n•        Computer Vision\r\n•        Artificial Intelligence\r\n\r\nHONORS & AWARDS\r\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\r\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\r\n•        IEEE Fellow (from 2013).\r\n•        TECO award, TECO Science Foundation (2016).\r\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\r\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2585)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)'),(6608,'2024-09-04 17:38:53',29,'me_desc---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\r\n\r\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \r\n\r\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\r\n\r\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2142)---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\n\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \n\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\n\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2136)'),(6609,'2024-09-04 17:38:53',34,'company---->Intelligent Banking Division\r\nE.SUN BANK(字串長度:40)---->Intelligent Banking Division\nE.SUN BANK(字串長度:39)```me_desc---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\r\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\r\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1305)---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1303)'),(6610,'2024-09-04 17:38:54',72,'desc---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\n*AI PC\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\n*AI Server and AI AMR Robot\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\n(字串長度:1040)```me_desc---->Harry Kao is a senior executive at Micro-Star International (MSI), serving as the AVP of the Platform Software Solution Div. He plays a significant role in the development of AI PCs and has made the idea of pre-installing proprietary language models on MSI AI PCs a reality, which is unique in the industry.\r\nUnder Harry Kao\'s leadership, MSI is fully committed to addressing the rise of AI technology and is dedicated to integrating these technologies into its products to enhance user experience and product performance. He pointed out that AI will become a turning point in the personal computer industry and anticipates a significant increase in market demand for AI PCs in the future.\r\n\r\n高士方是微星科技（MSI）的一位高階管理人員，擔任平台軟體研發處協理。他在AI PC的開發上扮演著重要角色，並讓微星AI PC預載自家開發的語言模型的想法得以實現，這在業界中是獨一無二的。\r\n\r\n在高士方的領導下，微星科技正全力以赴應對AI技術的崛起，並致力於將這些技術整合到其產品中，以提升用戶體驗和產品性能。他指出，AI將成為個人電腦產業的一個轉捩點，並預計未來AI PC的市場需求將顯著增加。(字串長度:1238)---->Harry Kao is a senior executive at Micro-Star International (MSI), serving as the AVP of the Platform Software Solution Div. He plays a significant role in the development of AI PCs and has made the idea of pre-installing proprietary language models on MSI AI PCs a reality, which is unique in the industry.\nUnder Harry Kao\'s leadership, MSI is fully committed to addressing the rise of AI technology and is dedicated to integrating these technologies into its products to enhance user experience and product performance. He pointed out that AI will become a turning point in the personal computer industry and anticipates a significant increase in market demand for AI PCs in the future.\n\n高士方是微星科技（MSI）的一位高階管理人員，擔任平台軟體研發處協理。他在AI PC的開發上扮演著重要角色，並讓微星AI PC預載自家開發的語言模型的想法得以實現，這在業界中是獨一無二的。\n\n在高士方的領導下，微星科技正全力以赴應對AI技術的崛起，並致力於將這些技術整合到其產品中，以提升用戶體驗和產品性能。他指出，AI將成為個人電腦產業的一個轉捩點，並預計未來AI PC的市場需求將顯著增加。(字串長度:1233)'),(6611,'2024-09-04 17:38:54',45,'talk_title---->Orchestrating the Future: AI Innovations in Music Streaming \r\n\r\n(字串長度:64)---->Orchestrating the Future: AI Innovations in Music Streaming \n\n(字串長度:62)```me_desc---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\r\n\r\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:903)---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\n\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:901)'),(6612,'2024-09-04 17:38:54',46,'desc---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\r\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\r\n(字串長度:724)---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\n(字串長度:722)```me_desc---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\r\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\r\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\r\n(字串長度:1040)---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\n(字串長度:1037)'),(6613,'2024-09-04 17:38:54',49,'desc----><p>In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.</p>\r\n<p>在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。</p>(字串長度:1652)---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)```me_desc----><p>An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience.</p>\r\n\r\n<p>美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。</p>\r\n(字串長度:693)---->An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience.\n\n美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。\n(字串長度:676)'),(6614,'2024-09-04 17:38:54',50,'talk_title---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\r\n(字串長度:111)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)```me_desc---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\r\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:893)---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:892)'),(6615,'2024-09-04 17:38:54',51,'me_desc---->Dr. Rock Tsai, holding a Ph.D. in Management Science and Engineering from Central South University, China, currently serves as Chief Information Officer at Taiwan Mobile and Chairman of the Information Management Association (IMA). He started programming in elementary school and took on freelance projects in junior high. In the 1990s, as a freshman at National Yang Ming Chiao Tung University’s Department of Computer Science, he developed a game called “Face to Face,” which took Asia by storm, selling close to 100,000 copies. \r\nDr. Tsai has previously served as Senior VP at HSBC Bank (China), Group Chief Information Officer at Sinyi Realty, and Head of Technology at DBS Bank (Taiwan). He received the awards of “Most Valuable CIO in China” in 2011, “Distinguished CIO in China” in 2012, “Outstanding CIO in Taiwan” in 2017, and IMA’s “Outstanding Information Director” in 2022.  \r\nHe joined Taiwan Mobile in February 2022, taking on the significant responsibility of managing the group’s IT transformation. (字串長度:1041)---->Dr. Rock Tsai, holding a Ph.D. in Management Science and Engineering from Central South University, China, currently serves as Chief Information Officer at Taiwan Mobile and Chairman of the Information Management Association (IMA). He started programming in elementary school and took on freelance projects in junior high. In the 1990s, as a freshman at National Yang Ming Chiao Tung University’s Department of Computer Science, he developed a game called “Face to Face,” which took Asia by storm, selling close to 100,000 copies. \nDr. Tsai has previously served as Senior VP at HSBC Bank (China), Group Chief Information Officer at Sinyi Realty, and Head of Technology at DBS Bank (Taiwan). He received the awards of “Most Valuable CIO in China” in 2011, “Distinguished CIO in China” in 2012, “Outstanding CIO in Taiwan” in 2017, and IMA’s “Outstanding Information Director” in 2022.  \nHe joined Taiwan Mobile in February 2022, taking on the significant responsibility of managing the group’s IT transformation. (字串長度:1039)'),(6616,'2024-09-04 17:38:54',54,'desc---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\r\n(字串長度:805)---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\n(字串長度:804)```me_desc---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\r\n \r\nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1474)---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\n \nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1472)'),(6617,'2024-09-04 17:38:54',57,'desc---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\r\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\r\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\r\n(字串長度:1504)---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\n(字串長度:1501)'),(6618,'2024-09-04 17:38:54',59,'desc---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\r\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\r\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1033)---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1031)```me_desc---->Dr. Jessy Kang is the founder and CEO of Jubo, a leading SaaS provider for nursing information systems. With a Ph.D. in Robotics and AI from Stanford University, Dr. Kang has over fifteen years of experience in applying AI to healthcare. His innovations are used in over 1,200 long-term care facilities across Taiwan, Canada, and the U.S.\r\nBefore Jubo, Dr. Kang was a professor at the University of Alberta and National Taiwan University, where he contributed significantly to AI and robotics. He holds 23 patents and is dedicated to integrating AI to enhance nursing and patient care.(字串長度:585)---->Dr. Jessy Kang is the founder and CEO of Jubo, a leading SaaS provider for nursing information systems. With a Ph.D. in Robotics and AI from Stanford University, Dr. Kang has over fifteen years of experience in applying AI to healthcare. His innovations are used in over 1,200 long-term care facilities across Taiwan, Canada, and the U.S.\nBefore Jubo, Dr. Kang was a professor at the University of Alberta and National Taiwan University, where he contributed significantly to AI and robotics. He holds 23 patents and is dedicated to integrating AI to enhance nursing and patient care.(字串長度:584)'),(6619,'2024-09-04 17:38:54',60,'desc---->Ministry of Education\'s AI English Speaking Inspirational Game\r\nMinistry of the Interior\'s Big Data AI Code Generation\r\nMinistry of the Environment AI Air Pollution Tracing\r\nMinistry of Agriculture AI Legislative Inquiry and Response\r\nMinistry of Digital Affairs Government Plan AI-Assisted Review\r\nPractical Experiences in Developing Government AI(字串長度:348)---->Ministry of Education\'s AI English Speaking Inspirational Game\nMinistry of the Interior\'s Big Data AI Code Generation\nMinistry of the Environment AI Air Pollution Tracing\nMinistry of Agriculture AI Legislative Inquiry and Response\nMinistry of Digital Affairs Government Plan AI-Assisted Review\nPractical Experiences in Developing Government AI(字串長度:343)```me_desc---->Taiwan government AI designer\r\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:89)---->Taiwan government AI designer\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:88)'),(6620,'2024-09-04 17:38:54',64,'talk_title---->(字串長度:0)---->Multimodal RAG Framework (字串長度:25)```talk_title2---->(字串長度:0)---->多模態的 RAG 架構(字串長度:23)```position---->技術副總(字串長度:12)---->Cloud AI+ Center, VP(字串長度:20)```position2---->(字串長度:0)---->技術副總(字串長度:12)```website---->(字串長度:0)---->https://www.facebook.com/chengho.wu?locale=zh_TW(字串長度:48)'),(6621,'2024-09-04 17:38:54',65,'talk_title---->Intelligent System Design for Optimized IC Design (字串長度:50)---->Intelligent System Design for Optimized IC Design(字串長度:49)```me_desc---->(字串長度:0)---->1.Cadence Application Engineering Director for Digital Implementation & Signoff Group to support Taiwan customer success in technology and tool application.\n2.More than 20+ years working experiences in IC Design field with major focus on STA/RC Extraction/IR closure and signoff till 3nm process node.\n3.In recent years, he supports customer in successfully applying the latest intelligence AI technology for rapid IR design closure to achieve optimized performance in IC design. (字串長度:480)'),(6622,'2024-09-04 17:38:54',68,'me_desc---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \r\nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\r\n\r\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1047)---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\n\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1044)'),(6623,'2024-09-04 17:38:54',69,'me_desc---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \r\n\r\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1194)---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \n\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1192)'),(6624,'2024-09-04 17:41:56',64,'position_for_agenda---->技術副總(字串長度:12)---->Cloud AI+ Center, VP(字串長度:20)'),(6625,'2024-09-06 16:19:53',102,'name2---->(字串長度:0)---->Chen-Mou Cheng(字串長度:14)```anchor---->speaker-102(字串長度:11)---->chen-mou-cheng(字串長度:14)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->長庚大學人工智慧學系(字串長度:30)---->Chang Gung University(字串長度:21)```position---->教授(字串長度:6)---->Professor, Department of Artificial Intelligence(字串長度:48)```desc---->(字串長度:0)---->The intersection of LLM and privacy-preserving techniques is an emerging research field, particularly relevant for domain-specific applications.  There is increasing interest in methodologies that enable collaborative or multi-tenant training and inference while addressing both trust and efficiency concerns.  In this talk, I will give a high-level tutorial on several cryptographic techniques that may help the audience better understand the state-of-the-art research in the area of secure AI inference.(字串長度:505)```me_desc---->(字串長度:0)---->Chen-Mou Cheng received his B.S. and M.S. degrees in electrical engineering from National Taiwan University in 1996 and 1998, respectively, as well as his PhD in computer science from Harvard University in 2007.  He is currently a Professor at the Department of Artificial Intelligence, Chang Gung University.  Between 2022 and 2024, he was the Chief Cryptographer at BTQ Technologies, Inc., a publicly-listed Canadian startup focusing on building post-quantum cryptographic technologies and solutions for blockchain applications.  Between 2007 and 2022, he taught cryptography at National Taiwan University, Osaka University, and Kanazawa University.(字串長度:651)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6626,'2024-09-06 16:19:53',33,'talk_title---->(字串長度:0)---->Artificial Intelligent in Manufacturing for CNC machine (字串長度:56)```talk_title2---->(字串長度:0)----> AI智慧製造在CNC產業之應用(字串長度:36)```desc---->(字串長度:0)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)'),(6627,'2024-09-06 16:19:53',34,'talk_title---->The Development of E.SUN BANK in GenAI(字串長度:38)---->Generative AI applications in E.SUN Bank(字串長度:40)'),(6628,'2024-09-06 16:19:54',36,'name2---->(字串長度:0)---->Rick Wen(字串長度:8)```anchor---->speaker-36(字串長度:10)---->rick-wen(字串長度:8)```talk_title---->(字串長度:0)---->Unleashing AI Empowerment: a Game-Changing Ecosystem of Shared Innovation(字串長度:73)```talk_title2---->(字串長度:0)---->建構AI生態系，開創共贏新模式(字串長度:41)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Deloitte (字串長度:9)---->Deloitte(字串長度:8)```position---->執行副總(字串長度:12)---->Technology & Transformation(字串長度:27)```desc---->(字串長度:0)---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1541)```me_desc---->(字串長度:0)---->Rick Wen has been actively involved in digital strategy planning for government, financial, high-tech, and manufacturing industries, and contributed to smart city consulting and risk management projects. Rick also serves as the leader of Digital Transformation Services (DX), Energy, Resources & Industrials (ER&I), and Telecom, Media & Entertainment (TME) at Deloitte Taiwan.(字串長度:376)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://www2.deloitte.com/tw/tc/profiles/rickswen.html(字串長度:54)'),(6629,'2024-09-06 16:19:54',39,'talk_title---->(字串長度:0)---->AI for All: Evolving from AI Supply Chain to Value Chain　(字串長度:59)```talk_title2---->(字串長度:0)---->百工百業用AI：從供應鏈進化到價值鏈--用AIoT經營全球(字串長度:71)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->新漢智能系統股份有限公司(字串長度:36)---->NEXCOM(字串長度:6)```position---->董事長(字串長度:9)---->CEO office, CEO(字串長度:15)```me_desc---->(字串長度:0)---->Born in 1955, Lin Mao-chang graduated from the Department of Electrical Engineering at National Taiwan University and later earned a master\'s degree from the Institute of Management Science at National Chiao Tung University. He previously worked at Acer and Mitac Computers before founding Nexcom in 1992. He is currently the Chairman of Nexcom Group. Lin has been a long-time advocate for promoting open standards in Taiwan\'s smart manufacturing industry. As a pioneer in Taiwan’s early industrial computer industry, he has successfully led Nexcom’s transformation into an innovative entrepreneurial group, focusing on dual-axis digital transformation in AIoT and ESG net-zero transformation. In recognition of his achievements, Lin was awarded the Distinguished Achievement Award by the Chinese Institute of Engineers USA in 2018, and in 2023, he received the Asia Pacific Outstanding Enterprise Award.(字串長度:908)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->新漢智能系統股份有限公司(字串長度:36)```position_for_agenda---->(字串長度:0)---->董事長(字串長度:9)'),(6630,'2024-09-06 16:19:54',41,'talk_title---->(字串長度:0)----> Artificial Intelligent in Manufacturing for CNC machine (字串長度:57)```talk_title2---->(字串長度:0)---->AI智慧製造在CNC產業之應用(字串長度:35)```desc---->(字串長度:0)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)'),(6631,'2024-09-06 16:19:54',43,'name2---->(字串長度:0)---->DH Chen(字串長度:7)```anchor---->speaker-43(字串長度:10)---->dh-chen(字串長度:7)```talk_title---->(字串長度:0)---->Taxonomy of LLM Development and Applications in Industries(字串長度:58)```talk_title2---->(字串長度:0)---->大型語言模型之發展全貌與產業應用案例(字串長度:54)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->資拓宏宇(字串長度:12)---->International Integrated System, Inc.(字串長度:37)```position---->產品顧問(字串長度:12)---->Product Consultant, SIBD(字串長度:24)```desc---->(字串長度:0)---->We will share our view of recent LLM development from different aspects, like open-source vs. proprietary, use vs. training, application and product, and etc. We will also share several applications with scenario in industries based on our experience.(字串長度:251)```me_desc---->曾任台灣人工智慧學校(AIA)技術總監，帶領團隊幫助業界掌握AI技術與應用。在AIA之前，服務於宏達電與仁寶電腦。超過20年的科技產業經驗，包括技術研發、專案管理與產品行銷。(字串長度:237)---->With over 20 years of experience in the technology industry, I specialize in AI product consultancy at International Integrated System, Inc. (IISI). I previously served as the director of technology at Taiwan AI Academy (AIA), where I lead a team for lecture assistance and practice guiding. Prior to my experience at AIA, I worked at HTC and Compal Electronics for many years in various roles across R&D, project management, and product marketing.\n(字串長度:449)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->資拓宏宇(字串長度:12)```position_for_agenda---->(字串長度:0)---->產品顧問\n(字串長度:13)'),(6632,'2024-09-06 16:19:54',44,'name2---->(字串長度:0)---->Happy Lee(字串長度:9)```anchor---->speaker-44(字串長度:10)---->happy-lee(字串長度:9)```talk_title---->(字串長度:0)---->Retail AI: from recommendation to agent(字串長度:39)```can_playback---->(字串長度:0)---->V(字串長度:1)```position---->產品長(字串長度:9)---->CPO(字串長度:3)```me_desc---->(字串長度:0)---->CPO of 91APP,  Entrepreneur(字串長度:27)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```company_for_agenda---->91APP(字串長度:5)---->(字串長度:0)```website---->(字串長度:0)---->https://happylee.blog(字串長度:21)'),(6633,'2024-09-10 09:15:34',101,'lecture_type---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6634,'2024-09-10 09:15:35',49,'position---->Network and Edge Group, Intel / Platform Software Architect(字串長度:59)---->Network and Edge Group, Platform Software Architect(字串長度:51)'),(6635,'2024-09-10 09:15:35',53,'name---->林建誠 (字串長度:10)---->張歐佑豪(字串長度:12)```name2---->Ken Lin(字串長度:7)---->Simon Changou(字串長度:13)```anchor---->ken-lin(字串長度:7)---->simon-changou(字串長度:13)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->AMD台灣區商用業務處資深業務副總經理(字串長度:51)---->Taiwan Commercial, AMD(字串長度:22)```position---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)---->Sr. Solutions Architect(字串長度:23)```me_desc---->(字串長度:0)---->目前任職於 AMD 資深技術顧問，主要負責 AMD 資料中心EPYC處理器以及資料中心Instinct 加速器在台灣市場的技術支援及推廣。加入 AMD 之前先後在儲存設備，伺服器應用和 OCP 開放式機架等不同領域擔任過技術支援，售前規劃及產品規劃等職務，累積了多年系統整合相關經驗並熟悉儲存，虛擬化，超融合和雲端等應用。(字串長度:417)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->資深業務副總經理(字串長度:24)---->台灣區商用業務處 資深技術顧問(字串長度:43)'),(6636,'2024-09-10 09:15:35',67,'name2---->Jeremy Chiu(字串長度:11)---->Birdman(字串長度:7)```anchor---->jeremy-chiu(字串長度:11)---->birdman(字串長度:7)```talk_title---->(字串長度:0)---->The Secrets of AI: Unveiling the Keys to Success in AI Projects(字串長度:63)```talk_title2---->(字串長度:0)---->AI 圈內不能說的秘密：AI 專案成功背後的奧義(字串長度:60)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣駭客協會(字串長度:18)---->CyCraft(字串長度:7)```position---->顧問(字串長度:6)---->CTO and Co-founder(字串長度:18)```desc---->(字串長度:0)---->In the machine learning, there are a few closely guarded secrets that experts rarely discuss openly. One of the biggest is that we don\'t fully understand why deep neural networks (DNNs) work so well. The lack of theoretical consensus often forces us to treat AI as a black box, resorting to trial-and-error approaches when fine-tuning parameters. In this presentation, Birdman will take a casual yet insightful approach to guide the audience through the development of machine learning, current theoretical frameworks, and the dynamic systems of neural networks. He will also share his personal learning experiences and unique perspectives, hoping to inspire more people to explore the underlying truths behind machine learning algorithms. (This talk is a refined version from CraftCON 2024.) (字串長度:793)```me_desc---->(字串長度:0)---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1700)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6637,'2024-09-10 09:54:59',10,'name---->中華電信(字串長度:12)---->黃志雄(字串長度:9)```position---->(字串長度:0)---->技術長並擔任執行副總經理(字串長度:36)```company_for_agenda---->CHT(字串長度:3)---->中華電信(字串長度:12)```position_for_agenda---->(字串長度:0)---->技術長(字串長度:9)'),(6638,'2024-09-10 09:55:01',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)'),(6639,'2024-09-10 10:48:33',10,'company---->(字串長度:0)---->中華電信股份有限公司(字串長度:30)'),(6640,'2024-09-10 10:48:33',33,'talk_title---->Artificial Intelligent in Manufacturing for CNC machine (字串長度:56)---->(字串長度:0)```talk_title2----> AI智慧製造在CNC產業之應用(字串長度:36)---->(字串長度:0)```desc---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)---->(字串長度:0)'),(6641,'2024-09-10 10:48:34',105,'me_desc---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\r\nFormer Product Manager in ASUS and HTC\r\nFormer VP of Global business development at Meitu\r\nFormer Cheetah Mobile head of strategic partnerships \r\nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\r\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\r\nNational Chengchi University “Digital Advertising” Lecturer\r\nMobile Advertising  Lecturer at CMU NASA\r\n(字串長度:495)---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\nFormer Product Manager in ASUS and HTC\nFormer VP of Global business development at Meitu\nFormer Cheetah Mobile head of strategic partnerships \nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\nNational Chengchi University “Digital Advertising” Lecturer\nMobile Advertising  Lecturer at CMU NASA\n(字串長度:487)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6642,'2024-09-10 10:48:34',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6643,'2024-09-10 10:48:34',73,'desc---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\r\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\r\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\r\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:496)---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:493)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6644,'2024-09-10 10:48:34',74,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\n\n(字串長度:794)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6645,'2024-09-10 10:48:34',75,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6646,'2024-09-10 10:48:34',76,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6647,'2024-09-10 10:48:34',77,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6648,'2024-09-10 10:48:34',78,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6649,'2024-09-10 10:48:34',79,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6650,'2024-09-10 10:48:34',80,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6651,'2024-09-10 10:48:34',81,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6652,'2024-09-10 11:47:21',105,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6653,'2024-09-10 11:47:21',106,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6654,'2024-09-10 11:47:21',73,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6655,'2024-09-10 11:47:21',74,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6656,'2024-09-10 11:47:21',75,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6657,'2024-09-10 11:47:21',76,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6658,'2024-09-10 11:47:21',77,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6659,'2024-09-10 11:47:21',78,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6660,'2024-09-10 11:47:21',79,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6661,'2024-09-10 11:47:21',80,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6662,'2024-09-10 11:47:21',81,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6663,'2024-09-10 14:17:59',48,'company_for_agenda---->(字串長度:0)---->清華大學(字串長度:12)'),(6664,'2024-09-10 14:54:06',31,'talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6665,'2024-09-10 14:54:07',48,'name2---->(字串長度:0)---->Hung-Yu Kao(字串長度:11)```anchor---->speaker-48(字串長度:10)---->hung-yu-kao(字串長度:11)```company---->(字串長度:0)---->清華大學(字串長度:12)```position---->(字串長度:0)---->資訊學院教授(字串長度:18)```me_desc---->(字串長度:0)---->學歷\n2003 國立台灣大學電機工程系博士\n研究專長\n資料探勘\n資訊檢索\n機器學習\n經歷\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:259)```website---->(字串長度:0)---->http://myweb.ncku.edu.tw/~hykao/(字串長度:32)'),(6666,'2024-09-10 14:54:07',104,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6667,'2024-09-10 15:26:00',48,'can_playback---->X(字串長度:1)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->(字串長度:0)'),(6668,'2024-09-10 15:26:00',62,'company---->(字串長度:0)---->國立成大(字串長度:12)```position---->(字串長度:0)---->副教授(字串長度:9)'),(6669,'2024-09-10 15:26:00',104,'company---->(字串長度:0)---->TAIA(字串長度:4)```position---->(字串長度:0)---->Executive Director & CSO(字串長度:24)'),(6670,'2024-09-10 15:26:00',75,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6671,'2024-09-10 15:50:04',9,'lecture_type---->陳昇瑋紀念講座(字串長度:21)---->(字串長度:0)'),(6672,'2024-09-10 15:50:04',30,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)'),(6673,'2024-09-10 15:56:27',7,'company_for_agenda---->中央大學資工系(字串長度:21)---->中央大學(字串長度:12)'),(6674,'2024-09-10 15:56:28',62,'company---->國立成大(字串長度:12)---->成功大學(字串長度:12)'),(6675,'2024-09-10 15:59:08',48,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6676,'2024-09-10 17:44:16',92,'talk_lang---->(字串長度:0)---->中文(字串長度:6)'),(6677,'2024-09-10 17:44:17',94,'talk_lang---->(字串長度:0)---->中文(字串長度:6)'),(6678,'2024-09-12 09:02:59',8,'me_desc---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\n(字串長度:967)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。(字串長度:962)'),(6679,'2024-09-12 09:03:00',70,'name2---->(字串長度:0)---->Yung-Hui Li(字串長度:11)```anchor---->speaker-70(字串長度:10)---->yung-hui-li(字串長度:11)```talk_title---->(字串長度:0)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->Hon Hai Research Institute(字串長度:26)```position---->(字串長度:0)---->Senior Director in AI Research Center(字串長度:37)```desc---->(字串長度:0)---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)```me_desc---->(字串長度:0)---->Dr. Yung-Hui Li is the founding director of AI Research Center of Hon Hai Research Institute, which is the core R&D center for the most critical technology of Foxconn\'s 3+3 transformation strategy. He received his B.S. degree from National Taiwan University in 1995, the M.S. degree from University of Pennsylvania in 1998, and the Ph.D. degree from school of computer science of Carnegie Mellon University in 2010. Before joining Foxconn, he served as a tenured professor in National Central University, Taoyuan, Taiwan. He has been served as industry chair, publicity chair or technical program committee member in various international conference. His research team has achieved outstanding results in the field of autonomous driving, consistently ranking at the top in global autonomous driving challenges. Their accomplishments include winning the Argoverse 1 & 2 Motion Forecasting Competition (CVPR 2023, 2024), winning the Waymo Sim Agents Challenge (CVPR 2024), and securing second place in the Waymo Motion Prediction Challenge (CVPR 2024). He also has won several gold or silver medals at Geneva International Exhibition of Inventions, Pittsburgh International Invention show (INPEX) and Silicon Valley International Invention Festival (SVIIF). His current research interests include Generative AI, Large Language Model, Multimodal Foundation Model and its Application in Computer Vision, Autonomous Driving, Smart Manufacturing and Biometrics. He has published over 100 papers in the fields of AI, deep learning, and machine learning, including top conferences such as CVPR, EMNLP, and AAAI, as well as top-ranking journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and ACM Computing Surveys.(字串長度:1868)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6680,'2024-09-12 09:03:00',10,'name---->黃志雄(字串長度:9)---->王景弘(字串長度:9)```company---->中華電信股份有限公司(字串長度:30)---->中華電信研究院(字串長度:21)```position---->技術長並擔任執行副總經理(字串長度:36)---->副院長(字串長度:9)```company_for_agenda---->中華電信(字串長度:12)---->中華電信研究院(字串長度:21)```position_for_agenda---->技術長(字串長度:9)---->副院長(字串長度:9)'),(6681,'2024-09-12 09:03:00',30,'name2---->(字串長度:0)---->Wei-Chao Chen(字串長度:13)```anchor---->speaker-30(字串長度:10)---->wei-chao-chen(字串長度:13)```talk_title---->(字串長度:0)---->Delivering Trust in the AI Era(字串長度:30)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->英業達股份有限公司(字串長度:27)---->Inventec Inc.(字串長度:13)```position---->數位長暨資深副總經理(字串長度:30)---->Chief Digital Officer & Senior Vice President(字串長度:45)```company2---->行品股份有限公司 (Skywatch Inc.) (字串長度:41)---->National Taiwan University(字串長度:26)```position2---->創辦人(字串長度:9)---->Visiting Professor(字串長度:18)```me_desc---->(字串長度:0)---->Wei-Chao Chen is the Chief Digital Officer at Inventec Corporation and the Chairman at Skywatch Inc.  Dr. Chen is also a Visiting Professor at the National Taiwan University.  His research interests include graphics hardware, computational photography, augmented reality, and computer vision.  Dr. Chen was the Chief AI Advisor at Inventec (2018-2020), a senior research scientist in Nokia Research Center at Palo Alto (2007-2009), and a 3D Graphics Architect in NVIDIA (2002-2006).  Dr. Chen received his MS in Electrical Engineering from National Taiwan University (1996) and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2002).(字串長度:664)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6682,'2024-09-12 09:03:00',51,'talk_title---->(字串長度:0)---->AI, the Age of It: A Great Opportunity for Taiwanese Businesses(字串長度:63)```talk_title2---->(字串長度:0)---->AI的它時代，臺灣企業的大機遇(字串長度:41)```desc---->(字串長度:0)---->Starting from the four major cycles of IT development, this outline explains how the era of AI marks the fifth cycle, referred to as the \"Age of It,\" and explores its profound impact. Addressing the specific needs of Taiwanese businesses, Dr. Tsai will introduce a strategic framework of \"Five Dimensions of AI Application\" to help enterprises find optimal solutions in improving productivity, integrating digital platforms, connecting with the AI ecosystem, implementing AI models, and addressing AI ethics. In the end, Dr. Tsai will share tangible \"low-hanging fruits\" for businesses applying AI.(字串長度:598)'),(6683,'2024-09-12 09:03:00',58,'name2---->(字串長度:0)---->Lai-Shiun, Lai(字串長度:14)```anchor---->speaker-58(字串長度:10)---->lai-shiun-lai(字串長度:13)```talk_title---->(字串長度:0)---->From Digital Transformation to Smart Hospital(字串長度:45)```talk_title2---->(字串長度:0)---->從數位轉型到智慧醫院(字串長度:30)```company---->臺中榮民總醫院資訊室(字串長度:30)---->Taichung Veterans General Hospital(TCVGH)(字串長度:41)```position---->主任(字串長度:6)---->Director of Department of Computer and Communications Center(字串長度:60)```desc---->(字串長度:0)---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1058)```me_desc---->(字串長度:0)---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:868)```company_for_agenda---->(字串長度:0)---->臺中榮民總醫院資訊室(字串長度:30)```position_for_agenda---->(字串長度:0)---->主任(字串長度:6)'),(6684,'2024-09-12 09:03:00',62,'company_for_agenda---->(字串長度:0)---->成功大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->副教授(字串長度:9)'),(6685,'2024-09-12 09:03:00',104,'me_desc---->(字串長度:0)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)```company_for_agenda---->(字串長度:0)---->TAIA(字串長度:4)```position_for_agenda---->(字串長度:0)---->Executive Director & CSO(字串長度:24)'),(6686,'2024-09-12 09:03:01',76,'name2---->(字串長度:0)---->Yu-Hong Lin(字串長度:11)```anchor---->speaker-76(字串長度:10)---->yu-hong-lin(字串長度:11)```talk_title---->(字串長度:0)---->Multimodal AI Empowering Smart Manufacturing Upgradation(字串長度:56)```talk_title2---->(字串長度:0)---->多模態AI賦能智慧製造產業升級(字串長度:41)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->AI System Plan Department(字串長度:25)```position---->(字串長度:0)---->Director(字串長度:8)```desc---->(字串長度:0)---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\n\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:614)```me_desc---->(字串長度:0)---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\n\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1155)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6687,'2024-09-12 09:03:01',77,'name2---->(字串長度:0)---->Chi-An Kao(字串長度:10)```anchor---->speaker-77(字串長度:10)---->chi-an-kao(字串長度:10)```talk_title---->(字串長度:0)---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\n(字串長度:119)```talk_title2---->(字串長度:0)---->AI驅動製造革新：如何利用視覺AI 平台和生成圖像技術提升品質控制(字串長度:89)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->先知科技股份有限公司/ Foresight Technology Company, Ltd(字串長度:65)```position---->(字串長度:0)---->總經理室/總經理; General Manager\'s Office/ President(字串長度:59)```desc---->(字串長度:0)---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:456)```me_desc---->(字串長度:0)---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\n(字串長度:1710)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->先知科技(字串長度:12)```position_for_agenda---->(字串長度:0)---->總經理(字串長度:9)'),(6688,'2024-09-12 09:03:01',80,'name2---->(字串長度:0)---->Simon Lu(字串長度:8)```anchor---->speaker-80(字串長度:10)---->simon-lu(字串長度:8)```talk_title---->(字串長度:0)---->Sensing the Future and Industrial AI Applications(字串長度:49)```talk_title2---->(字串長度:0)---->感知未來與工業AI應用(字串長度:29)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->(字串長度:0)---->Harbor Technology Solutions Co., Ltd.(字串長度:37)```position---->(字串長度:0)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6689,'2024-09-12 10:11:57',94,'company---->(字串長度:0)---->NCCU(字串長度:4)```position---->(字串長度:0)---->Assistant Professor(字串長度:19)'),(6690,'2024-09-12 11:37:26',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also the honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later earned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6691,'2024-09-12 11:37:26',70,'talk_title---->From Prediction to Simulation: \r\nUnveiling HHRI\'s Cutting-Edge Breakthroughs \r\nin Autonomous Driving Technology (從預測到模擬:\r\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:186)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)```desc---->中文版:\r\n\r\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\r\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\r\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\r\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\r\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\r\n\r\nEnglish version:\r\n\r\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\r\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\r\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\r\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\r\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2420)---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)'),(6692,'2024-09-12 11:37:26',36,'desc---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\r\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1542)---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1541)'),(6693,'2024-09-12 11:37:27',41,'desc---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1106)'),(6694,'2024-09-12 11:37:27',48,'me_desc---->學歷\r\n2003 國立台灣大學電機工程系博士\r\n研究專長\r\n資料探勘\r\n資訊檢索\r\n機器學習\r\n經歷\r\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\r\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:267)---->學歷\n2003 國立台灣大學電機工程系博士\n研究專長\n資料探勘\n資訊檢索\n機器學習\n經歷\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:259)'),(6695,'2024-09-12 11:37:27',58,'desc---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\r\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\r\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\r\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\r\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1062)---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1058)```me_desc---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\r\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\r\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\r\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:871)---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:868)'),(6696,'2024-09-12 11:37:27',67,'me_desc---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\r\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1701)---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1700)'),(6697,'2024-09-12 11:37:27',104,'me_desc---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\r\n\r\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\r\n\r\n(字串長度:1351)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)'),(6698,'2024-09-12 11:37:27',105,'me_desc---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\r\nFormer Product Manager in ASUS and HTC\r\nFormer VP of Global business development at Meitu\r\nFormer Cheetah Mobile head of strategic partnerships \r\nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\r\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\r\nNational Chengchi University “Digital Advertising” Lecturer\r\nMobile Advertising  Lecturer at CMU NASA\r\n(字串長度:495)---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\nFormer Product Manager in ASUS and HTC\nFormer VP of Global business development at Meitu\nFormer Cheetah Mobile head of strategic partnerships \nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\nNational Chengchi University “Digital Advertising” Lecturer\nMobile Advertising  Lecturer at CMU NASA\n(字串長度:487)'),(6699,'2024-09-12 11:37:27',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)'),(6700,'2024-09-12 11:37:27',73,'desc---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\r\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\r\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\r\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:496)---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:493)'),(6701,'2024-09-12 11:37:27',74,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.(字串長度:792)'),(6702,'2024-09-12 11:37:27',76,'desc---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\r\n\r\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:616)---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\n\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:614)```me_desc---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\r\n\r\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\r\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1158)---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\n\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1155)'),(6703,'2024-09-12 11:37:27',77,'talk_title---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\r\n(字串長度:120)---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\n(字串長度:119)```desc---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\r\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:457)---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:456)```me_desc---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\r\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\r\n(字串長度:1712)---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\n(字串長度:1710)'),(6704,'2024-09-12 11:37:27',80,'me_desc---->Current Positions\r\n\r\nCEO of Haobo Technology Co., Ltd.\r\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\r\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\r\n\r\n Working Experience\r\nDirector of System Design, Nortek (U.S.)\r\nDirector of System Design, Crown Computer Systems\r\nDirector of Server System Design, Flextronics\r\nManager of System R&D, Quanta Computer Cloud Computing Business Group\r\n\r\nEducation\r\nEiMBA, National Taiwan University\r\nDepartment of Electrical Engineering, Chinese Culture University\r\nTaiwan AI Academy, 4th Manager Class\r\n\r\n現任\r\n皓博科技股份有限公司 執行長\r\n台灣人工智慧協會理事/ 台北分會會長\r\n文化大學校友總會理事\r\n文化大學電機系系友會會長\r\n經歷\r\n美商Nortek系統設計總監\r\n冠信電腦系統設計總監\r\nFlextronics伺服器系統設計總監\r\n廣達電腦雲端運算事業群/系統研發部經理\r\n學歷\r\n台灣大學EiMBA\r\n中國文化大學電機系\r\n台灣人工智慧學校 第四屆經理人班\r\n(字串長度:1076)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)'),(6705,'2024-09-12 11:37:27',88,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\n\n(字串長度:794)'),(6706,'2024-09-12 11:45:07',4,'anchor---->t.h.-tung(字串長度:9)---->th-tung(字串長度:7)'),(6707,'2024-09-12 14:29:23',100,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6708,'2024-09-12 14:33:30',7,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6709,'2024-09-12 14:33:30',33,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6710,'2024-09-12 14:33:30',48,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6711,'2024-09-12 14:33:30',62,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6712,'2024-09-12 14:33:31',104,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6713,'2024-09-12 15:02:12',15,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6714,'2024-09-12 15:02:12',25,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6715,'2024-09-12 15:02:12',22,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6716,'2024-09-12 15:02:13',80,'me_desc---->Current Positions\r\n\r\nCEO of Haobo Technology Co., Ltd.\r\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\r\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\r\n\r\n Working Experience\r\nDirector of System Design, Nortek (U.S.)\r\nDirector of System Design, Crown Computer Systems\r\nDirector of Server System Design, Flextronics\r\nManager of System R&D, Quanta Computer Cloud Computing Business Group\r\n\r\nEducation\r\nEiMBA, National Taiwan University\r\nDepartment of Electrical Engineering, Chinese Culture University\r\nTaiwan AI Academy, 4th Manager Class\r\n\r\n現任\r\n皓博科技股份有限公司 執行長\r\n台灣人工智慧協會理事/ 台北分會會長\r\n文化大學校友總會理事\r\n文化大學電機系系友會會長\r\n經歷\r\n美商Nortek系統設計總監\r\n冠信電腦系統設計總監\r\nFlextronics伺服器系統設計總監\r\n廣達電腦雲端運算事業群/系統研發部經理\r\n學歷\r\n台灣大學EiMBA\r\n中國文化大學電機系\r\n台灣人工智慧學校 第四屆經理人班\r\n(字串長度:1076)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)'),(6717,'2024-09-12 15:10:36',15,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6718,'2024-09-12 15:10:36',25,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6719,'2024-09-12 15:10:36',22,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6720,'2024-09-13 07:55:33',92,'company_for_agenda---->(字串長度:0)---->NYCU(字串長度:4)'),(6721,'2024-09-15 07:11:56',70,'talk_title---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (字串長度:110)```talk_title2---->(字串長度:0)---->從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享(字串長度:71)```desc---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)---->English version:\r\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\r\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\r\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\r\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\r\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.\n\n中文版:\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n(字串長度:2410)'),(6722,'2024-09-15 07:11:57',52,'name2---->(字串長度:0)---->David Hsu(字串長度:9)```anchor---->speaker-52(字串長度:10)---->david-hsu(字串長度:9)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->安謀國際科技股份有限公司(字串長度:36)---->Arm(字串長度:3)```position---->應用工程總監(字串長度:18)---->FAE Director(字串長度:12)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6723,'2024-09-15 07:11:57',58,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6724,'2024-09-15 07:11:57',79,'name2---->(字串長度:0)---->Siang-Wei Hu(字串長度:12)```anchor---->speaker-79(字串長度:10)---->siang-wei-hu(字串長度:12)```talk_title2---->(字串長度:0)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```company---->(字串長度:0)---->工研院資通所   (字串長度:21)```position---->(字串長度:0)---->智慧運算組 博士(字串長度:22)```me_desc---->(字串長度:0)---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)'),(6725,'2024-09-15 07:11:57',92,'talk_title2---->(字串長度:0)---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)'),(6726,'2024-09-15 07:11:57',94,'talk_title2---->(字串長度:0)---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)'),(6727,'2024-09-18 08:37:29',5,'company---->(字串長度:0)---->中華民國對外貿易發展協會(字串長度:36)```position---->(字串長度:0)---->董事長(字串長度:9)'),(6728,'2024-09-18 08:37:29',10,'name2---->(字串長度:0)---->WANG CHING-HUNG(字串長度:15)```anchor---->speaker-10(字串長度:10)---->wang-ching-hung(字串長度:15)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->中華電信研究院(字串長度:21)---->Chunghwa Telecom Laboratories(字串長度:29)```position---->副院長(字串長度:9)---->Vice President(字串長度:14)```me_desc---->(字串長度:0)---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\r\n \r\nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \r\n \r\nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \r\n \r\nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\r(字串長度:1201)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6729,'2024-09-18 08:37:29',11,'talk_title---->(字串長度:0)---->High-Performance Computing Infrastructures and Technologies for Wide Adoption of AI in Taiwan(字串長度:93)```desc---->(字串長度:0)---->With the booming demands for artificial intelligence applications on a wide range of enterprise work loads and products development, software vendors all over the world are rushing to develop many domain-specific applications that have great potential for customers in boosting either their internal productivities or external product sells.  Taiwan is of course no exception.  Even with a wide availability of open-source AI models in the past few years, Taiwan still needs AI models that are tailored to local language and societal elements.  For this reason, advanced technologies such as continuous pre-training, fine-tuning, and domain specific RAGs play an important role in all the large-language models related development.   Infrastructures capable of handling large models and large amount of training data are in urgent need for Taiwan in the next few years.  Furthermore, technologies related do domain-specific model development need to be continuously refined and developed within HPC enabled data centers.  For the obvious reasons in AI governance, many training data will be stored not only domestically, but also under a secure enclave such that sensitive information won’t be leaked to the third parties.  National Center for High-Performance Computing (NCHC)’s recent endeavors in the above issues will be discussed in the talk.  Opportunities and challenges are also laid out.(字串長度:1400)'),(6730,'2024-09-18 08:37:29',101,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中央研究院資訊科技創新研究中心(字串長度:45)---->Academia Sinica (字串長度:16)```position---->研究員(字串長度:9)---->CITI, Research Fellow (字串長度:22)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6731,'2024-09-18 08:37:29',25,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中央研究院資訊科技創新研究中心(字串長度:45)---->Academia Sinica (字串長度:16)```position---->研究員(字串長度:9)---->CITI, Research Fellow (字串長度:22)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6732,'2024-09-18 08:37:29',9,'talk_title---->(字串長度:0)---->The Taiwan CbI Program(字串長度:22)```talk_title2---->(字串長度:0)---->晶創台灣計畫(字串長度:18)```desc---->(字串長度:0)---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\r\nThe first phase, which spans five years starting from 2024, is a joint effort by the\r\nNational Science and Technology Council (NSTC) and multiple ministries, including\r\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\r\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\r\nDevelopment Council. By integrating AI and chips to drive innovation across all\r\nindustries, fostering a domestic environment to attract global R&amp;D talent,\r\naccelerating the integration of heterogeneous technologies and advanced\r\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\r\nsemiconductor industry strength to attract international startups and investment,\r\nthis initiative aims to drive the development of related industries. In essence, the\r\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\r\nfrom various industries to position Taiwan as a global hub for future industrial\r\ninnovation.(字串長度:1073)'),(6733,'2024-09-18 08:37:30',92,'talk_title2---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)---->「好資料哪裡來？」 資料與隱私的平衡 \n\n\n(字串長度:56)'),(6734,'2024-09-18 08:37:30',94,'name2---->(字串長度:0)---->Chung-pei Pien(字串長度:14)```anchor---->speaker-94(字串長度:10)---->chung-pei-pien(字串長度:14)```talk_title2---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)---->「好資料哪裡來？」 社科資料運用\n\n\n(字串長度:49)```company---->NCCU(字串長度:4)---->National Chengchi University(字串長度:28)```position---->Assistant Professor(字串長度:19)---->Assistant Professor at the International College of Innovation(字串長度:62)```me_desc---->(字串長度:0)---->Chung-pei Pien is an Assistant Professor at the International College of Innovation, National Chengchi University. His research primarily revolves around environmental sociology, political sociology, computational social science, and organizational theories.(字串長度:258)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->NCCU(字串長度:4)```position_for_agenda---->(字串長度:0)---->Assistant Professor(字串長度:19)'),(6735,'2024-09-18 08:57:32',92,'talk_title2---->「好資料哪裡來？」 資料與隱私的平衡 \n\n\n(字串長度:56)---->資料與隱私的平衡 \n\n\n(字串長度:28)```lecture_type---->(字串長度:0)---->好資料哪裡來？(字串長度:21)'),(6736,'2024-09-18 08:57:32',94,'talk_title2---->「好資料哪裡來？」 社科資料運用\n\n\n(字串長度:49)---->社科資料運用\n\n\n(字串長度:21)```lecture_type---->(字串長度:0)---->好資料哪裡來？(字串長度:21)'),(6737,'2024-09-18 09:07:40',92,'talk_title---->(字串長度:0)---->資料與隱私的平衡(字串長度:24)```talk_title2---->資料與隱私的平衡 \n\n\n(字串長度:28)---->討論：一起建立好的資料基礎建設(字串長度:45)'),(6738,'2024-09-18 09:07:40',94,'talk_title---->(字串長度:0)---->社科資料運用(字串長度:18)```talk_title2---->社科資料運用\n\n\n(字串長度:21)---->討論：一起建立好的資料基礎建設(字串長度:45)'),(6739,'2024-09-18 09:12:29',92,'talk_title2---->討論：一起建立好的資料基礎建設(字串長度:45)---->討論: 一起建立好的資料基礎建設(字串長度:44)'),(6740,'2024-09-18 09:12:29',94,'talk_title2---->討論：一起建立好的資料基礎建設(字串長度:45)---->討論: 一起建立好的資料基礎建設(字串長度:44)'),(6741,'2024-09-18 10:19:33',26,'name2---->(字串長度:0)---->Richard Tzong-Han Tsai(字串長度:22)```anchor---->speaker-26(字串長度:10)---->richard-tzong-han-tsai(字串長度:22)```talk_title---->(字串長度:0)---->Task Design, Dataset Creation, and Evaluation: Keys to LLM Deployment and Taiwan\'s AI Foundry(字串長度:93)```talk_title2---->(字串長度:0)---->設計任務、打造資料集與評測：推動LLM落地，成就台灣AI Foundry的關鍵(字串長度:91)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->國立中央大學資訊工程系(字串長度:33)---->Academia Sinica(字串長度:15)```position---->教授(字串長度:6)---->Research Fellow(字串長度:15)```company2---->中研院人社中心(字串長度:21)---->(字串長度:0)```position2---->地理資訊專題中心執行長(字串長度:33)---->(字串長度:0)```desc---->(字串長度:0)---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\n\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1681)```me_desc---->(字串長度:0)---->中文版本：\r\n蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\r\n\r\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\r\n\r\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\r\n\r\nEnglish Version:\r\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\r\n\r\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\r\n\r\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3524)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/richard-tzong-han-tsai-a5262b45/(字串長度:60)'),(6742,'2024-09-18 11:51:19',10,'me_desc---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\r\n \r\nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \r\n \r\nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \r\n \r\nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\r\n(字串長度:1202)---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\n \nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \n \nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \n \nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\n(字串長度:1195)'),(6743,'2024-09-18 11:51:19',101,'talk_title---->(字串長度:0)---->Sovereign AI(字串長度:12)```talk_title2---->(字串長度:0)---->主權人工智慧(字串長度:18)```me_desc---->(字串長度:0)---->Prof. Yuh-Jye Lee is a computer scientist who holds a PhD in Computer Sciences from UW-Madison (2001). He has held positions at esteemed universities, including National Chun Cheng University, Taiwan Tech, and National Yang Ming Chiao Tung University.\n\nProf. Lee also had the opportunity to serve the government from November 2020 to January 2023 as the Deputy Executive Secretary of the Office of Science and Technology Policy, National Science and Technology Council. This office is responsible for Taiwan\'s science and technology policies, budget allocation, and the review of national-level science and technology projects.  He serves as the Chief Executive Officer of the Taiwan Information Security Center at the Research Center for Information Technology Innovation (CITI), Academia Sinica in the period of Aug. 2023 to Feb. 2024 and Sept. 2018 to Feb. 2021. He is a research fellow at CITI since Aug. 2023.\n\nProf. Lee\'s research primarily focuses on AI, data science, machine learning, federated learning, and information security. In essence, his research is centered on AI in security and security in AI. He is also in charge of the TAIDE project, which stands for Trustworthy AI Dialogue Engine.\n(字串長度:1207)'),(6744,'2024-09-18 11:51:19',26,'desc---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\r\n\r\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1683)---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\n\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1681)```me_desc---->中文版本：\r\n蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\r\n\r\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\r\n\r\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\r\n\r\nEnglish Version:\r\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\r\n\r\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\r\n\r\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3524)---->蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\n\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\n\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\n\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\n\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\n\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3479)'),(6745,'2024-09-18 11:51:19',9,'desc---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\r\nThe first phase, which spans five years starting from 2024, is a joint effort by the\r\nNational Science and Technology Council (NSTC) and multiple ministries, including\r\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\r\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\r\nDevelopment Council. By integrating AI and chips to drive innovation across all\r\nindustries, fostering a domestic environment to attract global R&amp;D talent,\r\naccelerating the integration of heterogeneous technologies and advanced\r\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\r\nsemiconductor industry strength to attract international startups and investment,\r\nthis initiative aims to drive the development of related industries. In essence, the\r\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\r\nfrom various industries to position Taiwan as a global hub for future industrial\r\ninnovation.(字串長度:1073)---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\nThe first phase, which spans five years starting from 2024, is a joint effort by the\nNational Science and Technology Council (NSTC) and multiple ministries, including\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\nDevelopment Council. By integrating AI and chips to drive innovation across all\nindustries, fostering a domestic environment to attract global R&amp;D talent,\naccelerating the integration of heterogeneous technologies and advanced\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\nsemiconductor industry strength to attract international startups and investment,\nthis initiative aims to drive the development of related industries. In essence, the\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\nfrom various industries to position Taiwan as a global hub for future industrial\ninnovation.(字串長度:1060)```me_desc---->EDUCATION\r\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\r\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\r\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\r\n\r\nPROFESSIONAL POSITIONS\r\n\r\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\r\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\r\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\r\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\r\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\r\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\r\n•         Director, Academia Sinica Computing Center (2006-08)\r\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\r\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\r\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\r\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\r\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\r\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\r\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\r\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\r\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\r\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\r\n•         Associate Editor, ACM Computing Surveys (2018-21)\r\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\r\n\r\nRESEARCH INTERESTS\r\n•        Multimedia Information Processing\r\n•        Computer Vision\r\n•        Artificial Intelligence\r\n\r\nHONORS & AWARDS\r\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\r\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\r\n•        IEEE Fellow (from 2013).\r\n•        TECO award, TECO Science Foundation (2016).\r\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\r\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2585)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)'),(6746,'2024-09-18 11:51:20',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->*10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\n*Vice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\n*Mentor at NCKU Phoenix Startup Platform.\n*Lecturer on Generative AI at ITRI College of Industry.\n*Recipient of the AI Award for Best Speaker from the Taiwan AI Academy.\n*Co-founder of the International Institute for Innovative Biomedical Technology.\n*Lecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1498)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6747,'2024-09-18 11:51:20',92,'position_for_agenda---->(字串長度:0)---->Associate Professor(字串長度:19)'),(6748,'2024-09-18 11:58:38',104,'me_desc---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.(字串長度:1345)'),