(3944,'2023-08-23 10:41:38',41,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3945,'2023-08-23 10:41:38',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->建構可信任的 AI: 機會與挑戰(字串長度:38)---->摘要42(字串長度:8)'),(3946,'2023-08-23 10:41:38',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->摘要43(字串長度:8)---->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)'),(3947,'2023-08-23 10:41:38',46,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->摘要46(字串長度:8)---->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)'),(3948,'2023-08-23 10:41:38',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3949,'2023-08-23 10:41:38',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->神經網路處理器軟硬體協同設計 IP(字串長度:45)---->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)'),(3950,'2023-08-23 10:41:39',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->唯有魔法打敗魔法，資安藍隊的未來奧義(字串長度:54)---->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)'),(3951,'2023-08-23 10:41:39',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3952,'2023-08-23 10:41:39',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3953,'2023-08-23 10:41:39',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->生成式 AI 下的客戶服務再進化(字串長度:40)---->數位轉型下的客戶服務\r 對話式知識管理\r 生成式AI成為最佳助力(字串長度:84)'),(3954,'2023-08-23 10:41:39',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->AI 智慧型代理人的崛起：全年無休的虛擬團隊(字串長度:60)---->摘要55(字串長度:8)'),(3955,'2023-08-23 10:41:39',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3956,'2023-08-23 10:41:39',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->摘要57(字串長度:8)---->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)'),(3957,'2023-08-23 10:41:39',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->於國小教學應用 AI 提升學生學習成效的實踐心得(字串長度:64)---->摘要60(字串長度:8)'),(3958,'2023-08-23 10:41:39',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->展望人類未來：在 AI 主宰的時代中蓬勃發展的策略(字串長度:67)---->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)'),(3959,'2023-08-23 10:41:39',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->生成式人工智慧對高等教育的影響(字串長度:45)---->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)'),(3960,'2023-08-23 10:41:39',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->演算法治理中透明度原則之形貌、內涵與挑戰(字串長度:60)---->摘要63(字串長度:8)'),(3961,'2023-08-23 10:41:39',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3962,'2023-08-23 10:41:39',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)```desc---->人才破繭生成未來：AIA 人才能力認證計畫 (字串長度:56)---->摘要68(字串長度:8)'),(3963,'2023-08-23 10:41:39',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3964,'2023-08-23 10:41:39',70,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3965,'2023-08-23 10:41:39',71,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3966,'2023-08-23 10:41:39',72,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3967,'2023-08-23 10:41:39',73,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3968,'2023-08-23 10:41:39',74,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3969,'2023-08-23 10:41:39',75,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3970,'2023-08-23 10:41:39',76,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(3971,'2023-08-23 10:41:39',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)```desc---->Closing Remarks(字串長度:15)---->摘要77(字串長度:8)'),(3972,'2023-08-23 10:41:39',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3973,'2023-08-23 11:05:00',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->英文姓名1(字串長度:13)---->廖俊智(字串長度:9)```talk_title---->題目1(字串長度:7)---->(字串長度:0)'),(3974,'2023-08-23 11:05:00',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3975,'2023-08-23 11:05:00',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名4(字串長度:13)---->紀懷新 (字串長度:10)'),(3976,'2023-08-23 11:05:00',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3977,'2023-08-23 11:05:00',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名6(字串長度:13)---->張嘉淵 (字串長度:10)'),(3978,'2023-08-23 11:05:00',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名7(字串長度:13)---->李育杰(字串長度:9)'),(3979,'2023-08-23 11:05:00',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名9(字串長度:13)---->劉思泰  (字串長度:11)'),(3980,'2023-08-23 11:05:00',10,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名10(字串長度:14)---->TBD-10(字串長度:6)'),(3981,'2023-08-23 11:05:00',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名11(字串長度:14)---->吳漢章(字串長度:9)'),(3982,'2023-08-23 11:05:00',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3983,'2023-08-23 11:05:00',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3984,'2023-08-23 11:05:00',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3985,'2023-08-23 11:05:00',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3986,'2023-08-23 11:05:00',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3987,'2023-08-23 11:05:00',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3988,'2023-08-23 11:05:00',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3989,'2023-08-23 11:05:00',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3990,'2023-08-23 11:05:00',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3991,'2023-08-23 11:05:00',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3992,'2023-08-23 11:05:01',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3993,'2023-08-23 11:05:01',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3994,'2023-08-23 11:05:01',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3995,'2023-08-23 11:05:01',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3996,'2023-08-23 11:05:01',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名26(字串長度:14)---->趙新民(字串長度:9)'),(3997,'2023-08-23 11:05:01',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3998,'2023-08-23 11:05:01',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(3999,'2023-08-23 11:05:01',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4000,'2023-08-23 11:05:01',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4001,'2023-08-23 11:05:01',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4002,'2023-08-23 11:05:01',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4003,'2023-08-23 11:05:01',33,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名33(字串長度:14)---->侯宜秀 (字串長度:10)'),(4004,'2023-08-23 11:05:01',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名34(字串長度:14)---->唐鳳(字串長度:6)'),(4005,'2023-08-23 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Computer(字串長度:15)```position---->職稱67(字串長度:8)---->CTO(字串長度:3)```company2---->服務單位二67(字串長度:17)---->(字串長度:0)```position2---->職稱二67(字串長度:11)---->(字串長度:0)```desc---->摘要67(字串長度:8)---->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---->簡介67(字串長度:8)---->\"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. 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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. 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09:53:38',46,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4628,'2023-08-24 09:53:38',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4629,'2023-08-24 09:53:38',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4630,'2023-08-24 09:53:38',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4631,'2023-08-24 09:53:38',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4632,'2023-08-24 09:53:38',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4633,'2023-08-24 09:53:38',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->Evolving Customer Service Further with Generative AI(字串長度:52)---->Redefining Customer Service in the Generative AI Era(字串長度:52)```desc---->數位轉型下的客戶服務\r 對話式知識管理\r 生成式AI成為最佳助力(字串長度:84)---->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)'),(4634,'2023-08-24 09:53:38',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4635,'2023-08-24 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09:57:41',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4691,'2023-08-24 09:57:41',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4692,'2023-08-24 09:57:41',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4693,'2023-08-24 09:57:41',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4694,'2023-08-24 09:57:41',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4695,'2023-08-24 09:57:41',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4696,'2023-08-24 09:57:41',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4697,'2023-08-24 09:57:41',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4698,'2023-08-24 09:57:41',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4699,'2023-08-24 09:57:41',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4700,'2023-08-24 09:57:41',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4701,'2023-08-24 09:57:41',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4702,'2023-08-24 09:57:41',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4703,'2023-08-24 09:57:41',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4704,'2023-08-24 09:57:42',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4705,'2023-08-24 09:57:42',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4706,'2023-08-24 09:59:05',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4707,'2023-08-24 09:59:05',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)'),(4708,'2023-08-24 09:59:05',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4709,'2023-08-24 09:59:05',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4710,'2023-08-24 09:59:05',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4711,'2023-08-24 09:59:05',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4712,'2023-08-24 09:59:05',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4713,'2023-08-24 09:59:05',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4714,'2023-08-24 09:59:05',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4715,'2023-08-24 09:59:05',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4716,'2023-08-24 09:59:05',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4717,'2023-08-24 09:59:05',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4718,'2023-08-24 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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 >660 product improvements since 2013. \r \r 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:1237)```website---->(字串長度:0)---->https://sites.google.com/view/edchi/home(字串長度:40)'),(4827,'2023-08-24 16:29:03',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4828,'2023-08-24 16:29:03',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4829,'2023-08-24 16:29:03',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4830,'2023-08-24 16:29:03',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4831,'2023-08-24 16:29:03',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4832,'2023-08-24 16:29:03',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4833,'2023-08-24 16:29:03',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4834,'2023-08-24 16:29:03',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4835,'2023-08-24 16:29:03',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4836,'2023-08-24 16:29:03',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4837,'2023-08-24 16:29:03',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4838,'2023-08-24 16:29:03',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4839,'2023-08-24 16:29:03',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4840,'2023-08-24 16:29:03',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4841,'2023-08-24 16:29:03',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4842,'2023-08-24 16:29:03',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4843,'2023-08-24 16:29:03',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4844,'2023-08-24 16:29:03',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4845,'2023-08-24 16:29:03',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4846,'2023-08-24 16:29:04',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4847,'2023-08-24 16:29:04',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n 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:429)---->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)'),(4848,'2023-08-24 16:29:04',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4849,'2023-08-24 16:29:04',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4850,'2023-08-24 16:29:04',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n \r\n 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\n \r\n 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\n \r\n 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:1183)---->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)'),(4851,'2023-08-24 16:29:04',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4852,'2023-08-24 16:29:04',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4853,'2023-08-24 16:29:04',33,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4854,'2023-08-24 16:29:04',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4855,'2023-08-24 16:29:04',35,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4856,'2023-08-24 16:29:04',36,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4857,'2023-08-24 16:29:04',37,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4858,'2023-08-24 16:29:04',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4859,'2023-08-24 16:29:04',40,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4860,'2023-08-24 16:29:04',41,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4861,'2023-08-24 16:29:04',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4862,'2023-08-24 16:29:04',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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.(字串長度:329)---->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)'),(4863,'2023-08-24 16:29:04',46,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4864,'2023-08-24 16:29:04',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4865,'2023-08-24 16:29:04',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4866,'2023-08-24 16:29:04',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->Unleashing the Cyber Magic: The Future of Blue Team Defense(字串長度:59)---->Unleashing the Cyber Magic: The Future of Blue Team Defense\r(字串長度:60)'),(4867,'2023-08-24 16:29:04',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4868,'2023-08-24 16:29:04',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4869,'2023-08-24 16:29:04',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n     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:873)---->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)'),(4870,'2023-08-24 16:29:04',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4871,'2023-08-24 16:29:04',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4872,'2023-08-24 16:29:04',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n \r\n 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\n \r\n 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:2380)---->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)'),(4873,'2023-08-24 16:29:04',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4874,'2023-08-24 16:29:04',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n \r\n 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\n(字串長度:1704)---->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)'),(4875,'2023-08-24 16:29:04',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4876,'2023-08-24 16:29:04',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4877,'2023-08-24 16:29:04',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4878,'2023-08-24 16:29:04',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4879,'2023-08-24 16:29:04',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4880,'2023-08-24 16:29:04',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4881,'2023-08-24 16:29:04',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4882,'2023-08-24 16:29:04',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4883,'2023-08-24 17:14:56',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4884,'2023-08-24 17:14:56',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4885,'2023-08-24 17:14:56',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4886,'2023-08-24 17:14:56',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4887,'2023-08-24 17:14:56',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4888,'2023-08-24 17:14:56',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4889,'2023-08-24 17:14:56',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4890,'2023-08-24 17:14:57',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4891,'2023-08-24 17:14:57',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4892,'2023-08-24 17:14:57',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4893,'2023-08-24 17:14:57',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4894,'2023-08-24 17:14:57',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4895,'2023-08-24 17:14:57',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4896,'2023-08-24 17:14:57',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4897,'2023-08-24 17:14:57',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4898,'2023-08-24 17:14:57',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4899,'2023-08-24 17:14:57',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4900,'2023-08-24 17:14:57',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4901,'2023-08-24 17:14:57',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4902,'2023-08-24 17:14:57',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4903,'2023-08-24 17:14:57',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4904,'2023-08-24 17:14:57',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4905,'2023-08-24 17:14:57',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4906,'2023-08-24 17:14:57',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4907,'2023-08-24 17:14:57',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4908,'2023-08-24 17:14:57',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4909,'2023-08-24 17:14:57',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4910,'2023-08-24 17:14:57',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4911,'2023-08-24 17:14:57',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4912,'2023-08-24 17:14:57',33,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4913,'2023-08-24 17:14:57',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4914,'2023-08-24 17:14:57',35,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4915,'2023-08-24 17:14:57',36,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4916,'2023-08-24 17:14:57',37,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4917,'2023-08-24 17:14:57',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4918,'2023-08-24 17:14:57',40,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4919,'2023-08-24 17:14:57',41,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4920,'2023-08-24 17:14:57',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4921,'2023-08-24 17:14:57',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4922,'2023-08-24 17:14:57',46,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4923,'2023-08-24 17:14:57',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4924,'2023-08-24 17:14:57',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4925,'2023-08-24 17:14:57',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4926,'2023-08-24 17:14:57',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4927,'2023-08-24 17:14:57',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4928,'2023-08-24 17:14:57',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4929,'2023-08-24 17:14:57',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4930,'2023-08-24 17:14:57',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4931,'2023-08-24 17:14:57',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4932,'2023-08-24 17:14:58',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4933,'2023-08-24 17:14:58',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4934,'2023-08-24 17:14:58',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4935,'2023-08-24 17:14:58',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4936,'2023-08-24 17:14:58',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4937,'2023-08-24 17:14:58',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4938,'2023-08-24 17:14:58',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4939,'2023-08-24 17:14:58',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4940,'2023-08-24 17:14:58',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4941,'2023-08-24 17:14:58',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4942,'2023-08-24 17:14:58',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->(字串長度:0)---->HUANG, YENNUN(字串長度:13)```website---->(字串長度:0)---->https://www.citi.sinica.edu.tw/pages/yennunhuang/vita_en.html(字串長度:61)'),(4943,'2023-08-24 17:14:58',81,'me_desc---->\r 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.\r \r 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.\r \r 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:1423)---->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)```website---->(字串長度:0)---->https://homepage.iis.sinica.edu.tw/pages/lwku/vita_en.html(字串長度:58)'),(4944,'2023-08-24 19:47:12',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(4945,'2023-08-24 19:47:12',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4946,'2023-08-24 19:47:12',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4947,'2023-08-24 19:47:12',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4948,'2023-08-24 19:47:12',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4949,'2023-08-24 19:47:12',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4950,'2023-08-24 19:47:12',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4951,'2023-08-24 19:47:12',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4952,'2023-08-24 19:47:12',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(4953,'2023-08-24 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17:09:09',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)```can_playback---->no(字串長度:2)---->yes(字串長度:3)'),(5045,'2023-08-25 17:09:09',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5046,'2023-08-25 17:09:09',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)'),(5047,'2023-08-25 17:09:09',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5048,'2023-08-25 17:09:09',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5049,'2023-08-25 17:09:09',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5050,'2023-08-25 17:09:09',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5051,'2023-08-25 17:09:09',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5052,'2023-08-25 17:09:09',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5053,'2023-08-25 17:09:09',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5054,'2023-08-25 17:09:09',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5055,'2023-08-25 17:09:09',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5056,'2023-08-25 17:09:09',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5057,'2023-08-25 17:09:10',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5058,'2023-08-25 17:09:10',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5059,'2023-08-25 17:09:10',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5060,'2023-08-25 17:09:10',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5061,'2023-08-25 17:09:10',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5062,'2023-08-25 17:09:10',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5063,'2023-08-25 17:09:10',81,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5064,'2023-08-25 17:09:10',82,'name2---->(字串長度:0)---->Steven Yin(字串長度:10)```company---->新思科技(字串長度:12)---->Synopsys(字串長度:8)```position---->業務副總經理(字串長度:18)---->Sr. Sales Director(字串長度:18)```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)'),(5065,'2023-08-26 12:00:28',3,'name---->林百里(字串長度:9)---->1(字串長度:1)```name2---->Barry Lam(字串長度:9)---->0920-0930(字串長度:9)```talk_title---->Prompting The Future: Transforming Medicine through Generative AI(字串長度:65)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Quanta Computer Inc.(字串長度:20)---->0(字串長度:1)```position---->Chairman(字串長度:8)---->Group Photo(字串長度:11)```company2---->(字串長度:0)---->Group Photo(字串長度:11)```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---->\"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:1437)---->3___1___0920-0930___0___Group Photo______(字串長度:41)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AIK(字串長度:3)---->3(字串長度:1)'),(5066,'2023-08-26 12:00:28',4,'name---->紀懷新(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->0930-1020(字串長度:9)```talk_title---->(字串長度:0)---->林百里(字串長度:9)```talk_lang---->中文(字串長度:6)---->3(字串長度:1)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Google DeepMind(字串長度:15)---->0(字串長度:1)```position---->Distinguished Scientist & Research Lead(字串長度:39)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span> <b>【 KEYNOTE 】</b><br><span class=\"imgs\"> <a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a> <a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> </span> <span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br> <b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>(字串長度:498)```company2---->(字串長度:0)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><b>【 KEYNOTE 】</b><br><span class=\"imgs\"><a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a><a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a></span><span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br><b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>(字串長度:492)```position2---->(字串長度:0)---->林百里(字串長度:9)```me_desc---->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 >660 product improvements since 2013. \r \r 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:1237)---->4___1___0930-1020___0___<span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><b>【 KEYNOTE 】</b><br><span class=\"imgs\"><a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a><a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a></span><span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br><b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>___林百里___3(字串長度:532)```talkfile_link---->簡報4(字串長度:7)---->(字串長度:0)```conf---->AIK(字串長度:3)---->4(字串長度:1)'),(5067,'2023-08-26 12:00:28',5,'name---->簡立峰(字串長度:9)---->1(字串長度:1)```name2---->Lee-Feng Chien(字串長度:14)---->1020-1030(字串長度:9)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Appier and iKala(字串長度:16)---->0(字串長度:1)```position---->Board Director (字串長度:15)---->Break(字串長度:5)```company2---->(字串長度:0)---->Break(字串長度:5)```me_desc---->Dr. Lee-Feng Chien has spent a career immersed in innovative industries where he has worked to advance technology and scientific and technological talent. In 2006, he became Google’s first employee in Taiwan when he joined as Managing Director.   Since retiring from Google in 2020, he has actively supported the development of Taiwanese startups, including serving as Board Director of AI pioneers such as Appier, which went public in 2021, and iKala, and a mentor to numerous individual entrepreneurs and publishes articles that encourage internationalization and innovative thinking for software startups.   Dr. Chien is a leading expert in Chinese information retrieval and natural language processing technology. He is a former Research Fellow and Deputy Director of the Institute of Information Science, Academia Sinica, and a co-appointed Professor of the Department of Information Management at National Taiwan University, where he earned a PhD in Computer Science in 1991.” (字串長度:987)---->5___1___1020-1030___0___Break______(字串長度:35)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->5(字串長度:1)'),(5068,'2023-08-26 12:00:28',6,'name---->張嘉淵(字串長度:9)---->1(字串長度:1)```name2---->Ted Chang(字串長度:9)---->1030-1120(字串長度:9)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Quanta Computer(字串長度:15)---->0(字串長度:1)```position---->CTO(字串長度:3)----><b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br> <span class=\"imgs\">   <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a> </span> <b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>(字串長度:265)```company2---->(字串長度:0)----><b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br><span class=\"imgs\">  <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a></span><b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>(字串長度:261)```me_desc---->(字串長度:0)---->6___1___1030-1120___0___<b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br><span class=\"imgs\">  <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a></span><b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>______(字串長度:291)```talkfile_link---->簡報6(字串長度:7)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->6(字串長度:1)'),(5069,'2023-08-26 12:00:28',7,'name---->李育杰(字串長度:9)---->1(字串長度:1)```name2---->Yuh-Jye Lee(字串長度:11)---->1120-1220(字串長度:9)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Academia Sinica(字串長度:15)---->0(字串長度:1)```position---->研究員(字串長度:9)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span> <span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br> <span class=\"imgs\">  <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a>  <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a>  <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a> </span> <b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>(字串長度:651)```company2---->(字串長度:0)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br><span class=\"imgs\"> <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a> <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a></span><b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>(字串長度:644)```position2---->(字串長度:0)---->Moderator:(字串長度:10)```desc---->(字串長度:0)---->######(字串長度:6)```me_desc---->(字串長度:0)---->7___1___1120-1220___0___<span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br><span class=\"imgs\"> <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a> <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a></span><b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>___Moderator:___(字串長度:684)```talkfile_link---->簡報7(字串長度:7)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->7(字串長度:1)'),(5070,'2023-08-26 12:00:28',9,'name---->劉思泰(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->1330-1330(字串長度:9)```talk_title---->The Future of AI is on-device(字串長度:29)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Qualcomm(字串長度:8)---->0(字串長度:1)```position---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)---->Special Session(字串長度:15)```company2---->(字串長度:0)---->Special Session(字串長度:15)```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。 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.  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。 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.   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。 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.   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。 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.   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。 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:2169)---->9___1___1330-1330___0___Special Session______(字串長度:45)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->9(字串長度:1)'),(5071,'2023-08-26 12:00:28',10,'name---->TBD-10(字串長度:6)---->1(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->(字串長度:0)---->1330-1400(字串長度:9)```talk_title---->(字串長度:0)---->劉思泰(字串長度:9)```talk_lang---->中文(字串長度:6)---->9(字串長度:1)```can_playback---->no(字串長度:2)---->(字串長度:0)```position---->(字串長度:0)----><b>劉思泰 副總裁暨台灣、東南亞與紐澳區總裁 (Qualcomm)</b>(字串長度:76)```company2---->(字串長度:0)----><b>劉思泰 副總裁暨台灣、東南亞與紐澳區總裁 (Qualcomm)</b>(字串長度:76)```position2---->(字串長度:0)---->劉思泰(字串長度:9)```me_desc---->(字串長度:0)---->10___1___1330-1400___0___<b>劉思泰 副總裁暨台灣、東南亞與紐澳區總裁 (Qualcomm)</b>___劉思泰___9(字串長度:117)```talkfile_link---->簡報10(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->10(字串長度:2)'),(5072,'2023-08-26 12:00:28',11,'name---->吳漢章(字串長度:9)---->1(字串長度:1)```name2---->Peter Wu(字串長度:8)---->1330-1400(字串長度:9)```talk_title----> Democratizing LLM to Empower Generative AI Innovations(字串長度:55)---->#VALUE!(字串長度:7)```talk_lang---->中文(字串長度:6)---->15+78+79(字串長度:8)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->TWSC(字串長度:4)---->1(字串長度:1)```position---->CEO(字串長度:3)----><span class=\'imgs\'> <a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a> <a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a> </span> <span class=\"purple\">▌Generative AI on Intel® Architecture</span><br> <b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>(字串長度:420)```company2---->(字串長度:0)----><span class=\'imgs\'><a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a><a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a></span><span class=\"purple\">▌Generative AI on Intel® Architecture</span><br><b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>(字串長度:415)```position2---->(字串長度:0)---->王宗業(字串長度:9)```desc---->(字串長度:0)---->#VALUE!(字串長度:7)```me_desc---->(字串長度:0)---->11___1___1330-1400___1___<span class=\'imgs\'><a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a><a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a></span><span class=\"purple\">▌Generative AI on Intel® Architecture</span><br><b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>___王宗業___15+78+79(字串長度:463)```talkfile_link---->Ｘ(字串長度:3)---->(字串長度:0)```conf---->AI(字串長度:2)---->11(字串長度:2)'),(5073,'2023-08-26 12:00:28',12,'name---->許大山(字串長度:9)---->1(字串長度:1)```name2---->Da-shan Shiu(字串長度:12)---->1330-1400(字串長度:9)```talk_title---->Case Studies of Applying Generative AI Concepts to Low Resource Domains(字串長度:71)---->吳偉壽(字串長度:9)```talk_lang---->中文(字串長度:6)---->21(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->MediaTek Research(字串長度:17)---->2(字串長度:1)```position---->Managing Director(字串長度:17)----><b>吳偉壽 技術顧問 (NetApp)</b>(字串長度:38)```company2---->(字串長度:0)----><b>吳偉壽 技術顧問 (NetApp)</b>(字串長度:38)```position2---->(字串長度:0)---->吳偉壽(字串長度:9)```desc---->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)---->(字串長度:0)```me_desc---->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)---->12___1___1330-1400___2___<b>吳偉壽 技術顧問 (NetApp)</b>___吳偉壽___21(字串長度:80)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->12(字串長度:2)'),(5074,'2023-08-26 12:00:28',13,'name---->沈文冰(字串長度:9)---->1(字串長度:1)```name2---->Wenping Shen(字串長度:12)---->1330-1400(字串長度:9)```talk_title---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)---->吳振和(字串長度:9)```talk_lang---->中文(字串長度:6)---->27(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->TSMC(字串長度:4)---->3(字串長度:1)```position---->AI Application & Integration Division, Deputy Director (字串長度:55)----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)```company2---->(字串長度:0)----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)```position2---->(字串長度:0)---->吳振和(字串長度:9)```desc---->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)---->(字串長度:0)```me_desc---->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)---->13___1___1330-1400___3___<b>吳振和  技術副總 (cacaFly)</b>___吳振和___27(字串長度:82)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->13(字串長度:2)'),(5075,'2023-08-26 12:00:28',14,'name---->Thomas Scialom(字串長度:14)---->1(字串長度:1)```name2---->Thomas Scialom(字串長度:14)---->1400-1400(字串長度:9)```talk_title---->Large Language Models, Generative AI and Scaling(字串長度:48)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Meta AI(字串長度:7)---->0(字串長度:1)```position---->Research Scientist (LLMs)(字串長度:25)---->Training of Large Pre-trained Models(字串長度:36)```company2---->(字串長度:0)---->Training of Large Pre-trained Models(字串長度:36)```me_desc---->https://www.linkedin.com/in/tscialom/(字串長度:37)---->14___1___1400-1400___0___Training of Large Pre-trained Models______(字串長度:67)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AIK(字串長度:3)---->14(字串長度:2)'),(5076,'2023-08-26 12:00:28',15,'name---->王宗業(字串長度:9)---->1(字串長度:1)```name2---->Chungyeh Wang(字串長度:13)---->1400-1400(字串長度:9)```talk_title---->Generative AI on Intel® Architecture(字串長度:37)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Intel(字串長度:5)---->1(字串長度:1)```position---->Platform Software Architect(字串長度:27)---->Green Computing(字串長度:15)```company2---->(字串長度:0)---->Green Computing(字串長度:15)```me_desc---->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)---->15___1___1400-1400___1___Green Computing______(字串長度:46)```talkfile_link---->簡報15(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->15(字串長度:2)'),(5077,'2023-08-26 12:00:28',16,'name---->李百飛(字串長度:9)---->1(字串長度:1)```name2---->Brian Lee(字串長度:9)---->1400-1400(字串長度:9)```talk_title---->Green Technologies Embedded for Big Data + GenAI Platform(字串長度:57)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Dell Technologies (字串長度:18)---->2(字串長度:1)```position---->Technical VP(字串長度:12)---->Diffusion Applications(字串長度:22)```company2---->System Engineering(字串長度:18)---->Diffusion Applications(字串長度:22)```me_desc---->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)---->16___1___1400-1400___2___Diffusion Applications______(字串長度:53)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->16(字串長度:2)'),(5078,'2023-08-26 12:00:28',17,'name---->陳贈文(字串長度:9)---->1(字串長度:1)```name2---->Vince Chen(字串長度:10)---->1400-1400(字串長度:9)```talk_title---->Green AI Infrastructure for Business Transformation(字串長度:51)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Super Micro Computer, Inc.(字串長度:26)---->3(字串長度:1)```position---->Sr. Director of Solutions Architecture(字串長度:38)---->Prompt Engineering(字串長度:18)```company2---->(字串長度:0)---->Prompt Engineering(字串長度:18)```me_desc---->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)---->17___1___1400-1400___3___Prompt Engineering______(字串長度:49)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->17(字串長度:2)'),(5079,'2023-08-26 12:00:28',18,'name---->康勝閔(字串長度:9)---->1(字串長度:1)```name2---->Eric Kang(字串長度:9)---->1400-1430(字串長度:9)```talk_title---->NVIDIA Grace Hopper Superchip Architecture In-Depth(字串長度:51)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->NVIDIA(字串長度:6)---->0(字串長度:1)```position---->Senior Manger, Solution Architect (字串長度:34)----><span class=\"anno-area left-side\">   <span class=\"anno-icon icon-playback\"></span>   <span class=\"anno-icon icon-slide\"></span> </span> <span class=\'imgs\'> <a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a> <a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a> </span> <b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>(字串長度:488)```company2---->(字串長度:0)----><span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span class=\'imgs\'><a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a><a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a></span><b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>(字串長度:480)```position2---->(字串長度:0)---->黃彥男(字串長度:9)```desc---->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)---->######(字串長度:6)```me_desc---->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)---->18___1___1400-1430___0___<span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span class=\'imgs\'><a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a><a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a></span><b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>___黃彥男___(字串長度:520)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->18(字串長度:2)'),(5080,'2023-08-26 12:00:28',19,'name---->沈仲杰(字串長度:9)---->1(字串長度:1)```name2---->JongJye Sheen(字串長度:13)---->1400-1430(字串長度:9)```talk_title---->AMD Instinct GPU – 1.19 ExaFlops System and LLM(字串長度:49)---->李百飛(字串長度:9)```talk_lang---->中文(字串長度:6)---->16(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->AMD(字串長度:3)---->1(字串長度:1)```position---->Sr. Market Development Manager(字串長度:30)----><b>李百飛 技術副總經理 (Dell)</b>(字串長度:42)```company2---->Data Center Accelerator BU(字串長度:26)----><b>李百飛 技術副總經理 (Dell)</b>(字串長度:42)```position2---->(字串長度:0)---->李百飛(字串長度:9)```desc---->   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)---->(字串長度:0)```me_desc----> 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)---->19___1___1400-1430___1___<b>李百飛 技術副總經理 (Dell)</b>___李百飛___16(字串長度:84)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->19(字串長度:2)'),(5081,'2023-08-26 12:00:28',20,'name---->洪嘉明(字串長度:9)---->1(字串長度:1)```name2---->Chia-Ming Hung(字串長度:14)---->1400-1430(字串長度:9)```talk_title---->Designing Industry-Leading Energy-Efficient AI Chips(字串長度:52)---->李昕穎(字串長度:9)```talk_lang---->中文(字串長度:6)---->22(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->NEUCHIPS(字串長度:8)---->2(字串長度:1)```position---->R&D department, Manager(字串長度:23)----><b>李昕穎 資深研究科學家 (Snap)</b>(字串長度:45)```company2---->(字串長度:0)----><b>李昕穎 資深研究科學家 (Snap)</b>(字串長度:45)```position2---->(字串長度:0)---->李昕穎(字串長度:9)```desc---->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)---->(字串長度:0)```me_desc---->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)---->20___1___1400-1430___2___<b>李昕穎 資深研究科學家 (Snap)</b>___李昕穎___22(字串長度:87)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->20(字串長度:2)'),(5082,'2023-08-26 12:00:28',21,'name---->吳偉壽(字串長度:9)---->1(字串長度:1)```name2---->Wayne Wu(字串長度:8)---->1400-1430(字串長度:9)```talk_title---->Liberate Data Performance, Embrace a Highly Flexible and Intelligent Cloud.(字串長度:75)---->孫弘岳(字串長度:9)```talk_lang---->中文(字串長度:6)---->28(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->NetApp(字串長度:6)---->3(字串長度:1)```position---->Solution Engineer(字串長度:17)----><b>孫弘岳 副教授 (National Taiwan Normal University)</b>(字串長度:62)```company2---->(字串長度:0)----><b>孫弘岳 副教授 (National Taiwan Normal University)</b>(字串長度:62)```position2---->(字串長度:0)---->孫弘岳(字串長度:9)```desc---->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)---->(字串長度:0)```me_desc---->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)---->21___1___1400-1430___3___<b>孫弘岳 副教授 (National Taiwan Normal University)</b>___孫弘岳___28(字串長度:104)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->21(字串長度:2)'),(5083,'2023-08-26 12:00:28',22,'name---->李昕穎(字串長度:9)---->1(字串長度:1)```name2---->Hsin-Ying Lee(字串長度:13)---->1430-1500(字串長度:9)```talk_title---->From 2D to 3D / From Image to Video(字串長度:35)---->吳漢章(字串長度:9)```talk_lang---->中文(字串長度:6)---->11(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Snap Inc.(字串長度:9)---->0(字串長度:1)```position---->Senior Research Scientist, Creative Vision Team, Snap Research(字串長度:62)----><b>吳漢章 總經理 (Taiwan Web Service)</b>(字串長度:47)```company2---->(字串長度:0)----><b>吳漢章 總經理 (Taiwan Web Service)</b>(字串長度:47)```position2---->(字串長度:0)---->吳漢章(字串長度:9)```desc---->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)---->(字串長度:0)```me_desc---->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)---->22___1___1430-1500___0___<b>吳漢章 總經理 (Taiwan Web Service)</b>___吳漢章___11(字串長度:89)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->22(字串長度:2)'),(5084,'2023-08-26 12:00:28',23,'name---->邱浩修(字串長度:9)---->1(字串長度:1)```name2---->Hao-Hsiu Chiu(字串長度:13)---->1430-1500(字串長度:9)```talk_title---->Creativity with Generative AI in the Design and Architecture Industry(字串長度:69)---->陳贈文(字串長度:9)```talk_lang---->中文(字串長度:6)---->17(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Tunghai Uiversity(字串長度:17)---->1(字串長度:1)```position---->Department of Architecture, Associate Professor(字串長度:47)----><b>陳贈文 資深協理  (SuperMicro) </b>(字串長度:44)```company2---->(字串長度:0)----><b>陳贈文 資深協理  (SuperMicro) </b>(字串長度:44)```position2---->(字串長度:0)---->陳贈文(字串長度:9)```me_desc---->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)---->23___1___1430-1500___1___<b>陳贈文 資深協理  (SuperMicro) </b>___陳贈文___17(字串長度:86)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->23(字串長度:2)'),(5085,'2023-08-26 12:00:28',24,'name---->鄭生懋(字串長度:9)---->1(字串長度:1)```name2---->Thomas Cheng(字串長度:12)---->1430-1500(字串長度:9)```talk_title---->Challenges and Opportunities of Machine Tool Industry in Taiwan (字串長度:64)---->邱浩修(字串長度:9)```talk_lang---->中文(字串長度:6)---->23(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Victor Taichung (字串長度:16)---->2(字串長度:1)```position---->General Management Division / Manager(字串長度:37)----><b>邱浩修 副教授 (Tunghai University)</b>(字串長度:47)```company2---->(字串長度:0)----><b>邱浩修 副教授 (Tunghai University)</b>(字串長度:47)```position2---->(字串長度:0)---->邱浩修(字串長度:9)```me_desc---->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)---->24___1___1430-1500___2___<b>邱浩修 副教授 (Tunghai University)</b>___邱浩修___23(字串長度:89)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->24(字串長度:2)'),(5086,'2023-08-26 12:00:28',25,'name---->陳昱中(字串長度:9)---->1(字串長度:1)```name2---->Yuchung Chen(字串長度:12)---->1430-1500(字串長度:9)```talk_title---->The Practice Principles of Smart Manufacturing(字串長度:46)---->李怡志(字串長度:9)```talk_lang---->中文(字串長度:6)---->29(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->eCloudvalley Digital Technology(字串長度:31)---->3(字串長度:1)```position---->TW Dept. Technical Director(字串長度:27)----><b>李怡志 助理教授 (National Chengchi University)</b>(字串長度:60)```company2---->(字串長度:0)----><b>李怡志 助理教授 (National Chengchi University)</b>(字串長度:60)```position2---->(字串長度:0)---->李怡志(字串長度:9)```me_desc---->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)---->25___1___1430-1500___3___<b>李怡志 助理教授 (National Chengchi University)</b>___李怡志___29(字串長度:102)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->25(字串長度:2)'),(5087,'2023-08-26 12:00:28',26,'name---->趙新民(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->1500-1530(字串長度:9)```talk_title---->A Sustainable and Smart Manufacturing for Productivity Improvement(字串長度:66)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->AUO Digitech(字串長度:12)---->0(字串長度:1)```position---->執行副總經理(字串長度:18)---->☕ Coffee Break(字串長度:16)```company2---->(字串長度:0)---->☕ Coffee Break(字串長度:16)```me_desc---->(字串長度:0)---->26___1___1500-1530___0___☕ Coffee Break______(字串長度:47)```talkfile_link---->簡報26(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->26(字串長度:2)'),(5088,'2023-08-26 12:00:28',27,'name---->吳振和(字串長度:9)---->1(字串長度:1)```name2---->Wu, Cheng-Ho(字串長度:12)---->1530-1530(字串長度:9)```talk_title---->Cloud Empowerment and Rapid Deployment of Generative AI(字串長度:55)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->cacaFly(字串長度:7)---->0(字串長度:1)```position---->VP of Technology(字串長度:16)---->Enterprise Applications:Fine-tuning Techniques(字串長度:46)```company2---->(字串長度:0)---->Enterprise Applications:Fine-tuning Techniques(字串長度:46)```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)---->(字串長度:0)```me_desc---->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)---->27___1___1530-1530___0___Enterprise Applications:Fine-tuning Techniques______(字串長度:77)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->27(字串長度:2)'),(5089,'2023-08-26 12:00:28',28,'name---->孫弘岳(字串長度:9)---->1(字串長度:1)```name2---->Hung-Yue Suen(字串長度:13)---->1530-1530(字串長度:9)```talk_title---->Harnessing GAI: Revolutionizing HR Practices(字串長度:44)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->National Taiwan Normal University(字串長度:33)---->1(字串長度:1)```position---->echnology Application And Human Resource Development / Distinguished Associate Professor(字串長度:88)---->Chips for AI(字串長度:12)```company2---->(字串長度:0)---->Chips for AI(字串長度:12)```desc---->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)---->(字串長度:0)```me_desc---->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)---->28___1___1530-1530___1___Chips for AI______(字串長度:43)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->28(字串長度:2)'),(5090,'2023-08-26 12:00:28',29,'name---->李怡志(字串長度:9)---->1(字串長度:1)```name2---->Richy Li(字串長度:8)---->1530-1530(字串長度:9)```talk_title---->Unlocking Innovation with LLM: Integrating Prompt Engineering in Product Development(字串長度:84)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->National Chengchi University(字串長度:28)---->2(字串長度:1)```position---->Assistant Prof., Dept. of Journalism(字串長度:36)---->Smart Manufacturing(字串長度:19)```company2---->(字串長度:0)---->Smart Manufacturing(字串長度:19)```me_desc---->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)---->29___1___1530-1530___2___Smart Manufacturing______(字串長度:50)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->29(字串長度:2)'),(5091,'2023-08-26 12:00:28',30,'name---->許凱程(字串長度:9)---->1(字串長度:1)```name2---->Kai-Cheng Hsu(字串長度:13)---->1530-1530(字串長度:9)```talk_title---->Transforming Smart Healthcare with Generative AI(字串長度:48)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->China Medical University Hospital(字串長度:33)---->3(字串長度:1)```position---->Artificial Intelligence Center / Director(字串長度:41)---->Intelligent Services(字串長度:20)```company2---->China Medical University(字串長度:24)---->Intelligent Services(字串長度:20)```position2---->School of Medicine/ Assistant Professor(字串長度:39)---->(字串長度:0)```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)---->(字串長度:0)```me_desc---->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)---->30___1___1530-1530___3___Intelligent Services______(字串長度:51)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->30(字串長度:2)'),(5092,'2023-08-26 12:00:28',31,'name---->王俊權(字串長度:9)---->1(字串長度:1)```name2---->Friedman Wang(字串長度:13)---->1530-1600(字串長度:9)```talk_title---->The Current State and Future Prospects of AI-Enabled Financial Services(字串長度:71)---->許大山(字串長度:9)```talk_lang---->中文(字串長度:6)---->12(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Data Intelligence R&D Division(字串長度:30)---->0(字串長度:1)```position---->Executive Vice President(字串長度:24)----><b>許大山 創新基地總監 (MediaTek)</b>(字串長度:46)```company2---->(字串長度:0)----><b>許大山 創新基地總監 (MediaTek)</b>(字串長度:46)```position2---->(字串長度:0)---->許大山(字串長度:9)```me_desc---->(字串長度:0)---->31___1___1530-1600___0___<b>許大山 創新基地總監 (MediaTek)</b>___許大山___12(字串長度:88)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->31(字串長度:2)'),(5093,'2023-08-26 12:00:28',32,'name---->胡德民(字串長度:9)---->1(字串長度:1)```name2---->Peter Hu(字串長度:8)---->1530-1600(字串長度:9)```talk_title---->Opportunities and Methods for Accelerating Enterprise Digital Transformation through Generative AI\r (字串長度:100)---->康勝閔(字串長度:9)```talk_lang---->中文(字串長度:6)---->18(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->FarEasTone Telecom(字串長度:18)---->1(字串長度:1)```position---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)----><b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>(字串長度:57)```company2---->(字串長度:0)----><b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>(字串長度:57)```position2---->(字串長度:0)---->康勝閔(字串長度:9)```desc---->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)---->(字串長度:0)```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. 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)---->32___1___1530-1600___1___<b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>___康勝閔___18(字串長度:99)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->32(字串長度:2)'),(5094,'2023-08-26 12:00:28',33,'name---->侯宜秀(字串長度:9)---->1(字串長度:1)```name2---->Isabel Hou(字串長度:10)---->1530-1600(字串長度:9)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->鄭生懋(字串長度:9)```talk_lang---->中文(字串長度:6)---->24(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Taiwan AI Academy Foundation(字串長度:28)---->2(字串長度:1)```position---->Secretary General(字串長度:17)----><b>鄭生懋 經理 (VICTOR TAICHUNG)</b>(字串長度:41)```company2---->(字串長度:0)----><b>鄭生懋 經理 (VICTOR TAICHUNG)</b>(字串長度:41)```position2---->(字串長度:0)---->鄭生懋(字串長度:9)```me_desc---->(字串長度:0)---->33___1___1530-1600___2___<b>鄭生懋 經理 (VICTOR TAICHUNG)</b>___鄭生懋___24(字串長度:83)```talkfile_link---->簡報33(字串長度:8)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->33(字串長度:2)'),(5095,'2023-08-26 12:00:28',34,'name---->唐鳳(字串長度:6)---->1(字串長度:1)```name2---->TANG Feng (Audrey TANG)(字串長度:23)---->1530-1600(字串長度:9)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->許凱程(字串長度:9)```talk_lang---->中文(字串長度:6)---->30(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Ministry of Digital Affairs(字串長度:27)---->3(字串長度:1)```position---->Minister(字串長度:8)----><b>許凱程 主任 (China Medical University Hospital)</b>(字串長度:59)```company2---->(字串長度:0)----><b>許凱程 主任 (China Medical University Hospital)</b>(字串長度:59)```position2---->(字串長度:0)---->許凱程(字串長度:9)```me_desc---->(字串長度:0)---->34___1___1530-1600___3___<b>許凱程 主任 (China Medical University Hospital)</b>___許凱程___30(字串長度:101)```talkfile_link---->簡報34(字串長度:8)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->34(字串長度:2)'),(5096,'2023-08-26 12:00:28',35,'name---->蔡志宏(字串長度:9)---->1(字串長度:1)```name2---->Zsehong Tsai(字串長度:12)---->1600-1630(字串長度:9)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->沈文冰(字串長度:9)```talk_lang---->中文(字串長度:6)---->13(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->National Taiwan University(NTU)(字串長度:31)---->0(字串長度:1)```position---->Professor(字串長度:9)----><b>沈文冰 智慧應用整合處副處長 (TSMC)</b>(字串長度:54)```company2---->Science & Technology Policy Advisory Office, NSTC(字串長度:49)----><b>沈文冰 智慧應用整合處副處長 (TSMC)</b>(字串長度:54)```position2---->(字串長度:0)---->沈文冰(字串長度:9)```me_desc---->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)---->35___1___1600-1630___0___<b>沈文冰 智慧應用整合處副處長 (TSMC)</b>___沈文冰___13(字串長度:96)```talkfile_link---->簡報35(字串長度:8)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->35(字串長度:2)'),(5097,'2023-08-26 12:00:28',36,'name---->林明仁(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->1600-1630(字串長度:9)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->沈仲杰(字串長度:9)```talk_lang---->中文(字串長度:6)---->19(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->National Taiwan University(NTU)(字串長度:31)---->1(字串長度:1)```position---->特聘教授(字串長度:12)----><b>沈仲杰  資深經理 (AMD)</b>(字串長度:36)```company2---->(字串長度:0)----><b>沈仲杰  資深經理 (AMD)</b>(字串長度:36)```position2---->(字串長度:0)---->沈仲杰(字串長度:9)```me_desc---->(字串長度:0)---->36___1___1600-1630___1___<b>沈仲杰  資深經理 (AMD)</b>___沈仲杰___19(字串長度:78)```talkfile_link---->簡報36(字串長度:8)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->36(字串長度:2)'),(5098,'2023-08-26 12:00:29',37,'name---->陸忠立(字串長度:9)---->1(字串長度:1)```name2---->Allen Lu(字串長度:8)---->1600-1630(字串長度:9)```talk_title---->Mobile AI Evolution – Trend and Challenge(字串長度:43)---->陳昱中(字串長度:9)```talk_lang---->中文(字串長度:6)---->25(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Mediatek(字串長度:8)---->2(字串長度:1)```position---->Senior Director (字串長度:16)----><b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>(字串長度:72)```company2---->Compute and Artificial Intelligence Department (字串長度:47)----><b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>(字串長度:72)```position2---->(字串長度:0)---->陳昱中(字串長度:9)```me_desc---->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)---->37___1___1600-1630___2___<b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>___陳昱中___25(字串長度:114)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AIK(字串長度:3)---->37(字串長度:2)'),(5099,'2023-08-26 12:00:29',38,'name---->TBD-38(字串長度:6)---->1(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-38(字串長度:6)---->1600-1630(字串長度:9)```talk_title---->(字串長度:0)---->王俊權(字串長度:9)```talk_lang---->中文(字串長度:6)---->31(字串長度:2)```company---->(字串長度:0)---->3(字串長度:1)```position---->(字串長度:0)----><b>王俊權 資深副總 (CTBC Holding)</b>(字串長度:44)```company2---->(字串長度:0)----><b>王俊權 資深副總 (CTBC Holding)</b>(字串長度:44)```position2---->(字串長度:0)---->王俊權(字串長度:9)```me_desc---->(字串長度:0)---->38___1___1600-1630___3___<b>王俊權 資深副總 (CTBC Holding)</b>___王俊權___31(字串長度:86)```talkfile_link---->簡報38(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->38(字串長度:2)'),(5100,'2023-08-26 12:00:29',39,'name---->李宏毅(字串長度:9)---->1(字串長度:1)```name2---->Hung-yi Lee(字串長度:11)---->1630-1715(字串長度:9)```talk_title---->Towards a Speech Version of ChatGPT(字串長度:35)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->台灣大學(字串長度:12)---->0(字串長度:1)```position---->電機工程學系副教授(字串長度:27)----><span class=\"anno-area one-track-keynote right-side\">   <span class=\"anno-icon icon-eng\"></span>   <span class=\"anno-icon icon-remote\"></span> </span> <span class=\"anno-area one-track-keynote  left-side\">   <span class=\"anno-icon icon-playback\"></span>   <span class=\"anno-icon icon-slide\"></span> </span> <span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br> <span class=\"imgs\"> <a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a> </span> <span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br> <b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>(字串長度:703)```company2---->(字串長度:0)----><span class=\"anno-area one-track-keynote right-side\">  <span class=\"anno-icon icon-eng\"></span>  <span class=\"anno-icon icon-remote\"></span></span><span class=\"anno-area one-track-keynote  left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br><span class=\"imgs\"><a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a></span><span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br><b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>(字串長度:690)```position2---->(字串長度:0)---->Thomas(字串長度:6)```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:6)```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)---->39___1___1630-1715___0___<span class=\"anno-area one-track-keynote right-side\">  <span class=\"anno-icon icon-eng\"></span>  <span class=\"anno-icon icon-remote\"></span></span><span class=\"anno-area one-track-keynote  left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br><span class=\"imgs\"><a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a></span><span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br><b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>___Thomas___(字串長度:727)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->39(字串長度:2)'),(5101,'2023-08-26 12:00:29',40,'name---->楊佳玲(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->1630-1715(字串長度:9)```talk_title---->Memory-centric Design in the AI Era(字串長度:35)---->洪嘉明(字串長度:9)```talk_lang---->中文(字串長度:6)---->20(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->National Taiwan University(字串長度:26)---->1(字串長度:1)```position---->教授(字串長度:6)----><b>洪嘉明 經理 (NEUCHIPS)</b>(字串長度:34)```company2---->(字串長度:0)----><b>洪嘉明 經理 (NEUCHIPS)</b>(字串長度:34)```position2---->(字串長度:0)---->洪嘉明(字串長度:9)```me_desc---->(字串長度:0)---->40___1___1630-1715___1___<b>洪嘉明 經理 (NEUCHIPS)</b>___洪嘉明___20(字串長度:76)```talkfile_link---->簡報40(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->40(字串長度:2)'),(5102,'2023-08-26 12:00:29',41,'name---->陳佩君(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->1630-1715(字串長度:9)```talk_title---->(字串長度:0)---->趙新民(字串長度:9)```talk_lang---->中文(字串長度:6)---->26(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Microsoft Taiwan(字串長度:16)---->2(字串長度:1)```position---->人工智慧研發中心技術長(字串長度:33)----><b>趙新民 執行副總經理 (AUO Digitech) </b>(字串長度:51)```company2---->(字串長度:0)----><b>趙新民 執行副總經理 (AUO Digitech) </b>(字串長度:51)```position2---->(字串長度:0)---->趙新民(字串長度:9)```me_desc---->(字串長度:0)---->41___1___1630-1715___2___<b>趙新民 執行副總經理 (AUO Digitech) </b>___趙新民___26(字串長度:93)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->41(字串長度:2)'),(5103,'2023-08-26 12:00:29',42,'name---->簡宏偉(字串長度:9)---->1(字串長度:1)```name2---->Howard Jyan(字串長度:11)---->1630-1715(字串長度:9)```talk_title---->Establish of Trustworthy AI: Opportunities and Challengs(字串長度:56)---->胡德民(字串長度:9)```talk_lang---->中文(字串長度:6)---->32(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Deloitte & Touche(字串長度:17)---->3(字串長度:1)```position---->Partner, Risk Advisory(字串長度:22)----><b>胡德民 執行副總經理 (FET Telecommunications)</b>(字串長度:60)```company2---->(字串長度:0)----><b>胡德民 執行副總經理 (FET Telecommunications)</b>(字串長度:60)```position2---->(字串長度:0)---->胡德民(字串長度:9)```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)---->42___1___1630-1715___3___<b>胡德民 執行副總經理 (FET Telecommunications)</b>___胡德民___32(字串長度:102)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->42(字串長度:2)'),(5104,'2023-08-26 12:00:29',43,'name---->劉嘉凱(字串長度:9)---->2(字串長度:1)```name2---->Chia-Kai Liu(字串長度:12)---->0830-0900(字串長度:9)```talk_title---->Building Trustworthy Digital Twins of Organizations: A Process-Oriented Experiment(字串長度:82)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->DSP, Inc.(字串長度:9)---->0(字串長度:1)```position---->CEO(字串長度:3)---->Registration(字串長度:12)```company2---->(字串長度:0)---->Registration(字串長度:12)```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)---->43___2___0830-0900___0___Registration______(字串長度:43)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->43(字串長度:2)'),(5105,'2023-08-26 12:00:29',44,'name---->TBD-44(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名44(字串長度:14)---->0900-0920(字串長度:9)```talk_title---->題目44(字串長度:8)---->蔡明順(字串長度:9)```talk_lang---->中文(字串長度:6)---->68(字串長度:2)```company---->服務單位44(字串長度:14)---->0(字串長度:1)```position---->職稱44(字串長度:8)----><b>蔡明順 校務長 (Taiwan AI Academy)</b>(字串長度:46)```company2---->服務單位二44(字串長度:17)----><b>蔡明順 校務長 (Taiwan AI Academy)</b>(字串長度:46)```position2---->職稱二44(字串長度:11)---->蔡明順(字串長度:9)```desc---->摘要44(字串長度:8)---->(字串長度:0)```me_desc---->簡介44(字串長度:8)---->44___2___0900-0920___0___<b>蔡明順 校務長 (Taiwan AI Academy)</b>___蔡明順___68(字串長度:88)```talkfile_link---->簡報44(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->44(字串長度:2)'),(5106,'2023-08-26 12:00:29',45,'name---->TBD-45(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名45(字串長度:14)---->0920-1010(字串長度:9)```talk_title---->題目45(字串長度:8)---->陸忠立(字串長度:9)```talk_lang---->中文(字串長度:6)---->37(字串長度:2)```company---->服務單位45(字串長度:14)---->0(字串長度:1)```position---->職稱45(字串長度:8)----><b>陸忠立 資深處長 (MediaTek)</b>(字串長度:40)```company2---->服務單位二45(字串長度:17)----><b>陸忠立 資深處長 (MediaTek)</b>(字串長度:40)```position2---->職稱二45(字串長度:11)---->陸忠立(字串長度:9)```desc---->摘要45(字串長度:8)---->(字串長度:0)```me_desc---->簡介45(字串長度:8)---->45___2___0920-1010___0___<b>陸忠立 資深處長 (MediaTek)</b>___陸忠立___37(字串長度:82)```talkfile_link---->簡報45(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->45(字串長度:2)'),(5107,'2023-08-26 12:00:29',46,'name---->李明哲(字串長度:9)---->2(字串長度:1)```name2---->Robert Li(字串長度:9)---->1010-1030(字串長度:9)```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)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Synopsys(字串長度:8)---->0(字串長度:1)```position---->Sales Vice President (Taiwan, Southeast Asia and India) and Chairman of Taiwan(字串長度:78)---->Break(字串長度:5)```company2---->(字串長度:0)---->Break(字串長度:5)```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---->Dr. Robert Li is currently the Sales VP and Chairman of Synopsys Taiwan. Before this role, he was leading a global team to support the major foundry and its eco-system in advanced process development, technology partnership, and mutual customer collaboration. Dr. Li was with Synopsys Professional Service group in 1999, rejoined Synopsys/Taiwan sales team in 2003, and lead a team covering key accounts and Greater China foundry business till moving to Synopsys, China. As the Country Manager with Synopsys China, he built and lead a strong field team with creditable business outcome and satisfactory customer relationships since Dec. 2009. With his 20+ years of working experience in the wireless and semiconductor industry, Dr. Li’s role covers technology research, production/project planning/management, sales marking, and business operation.(字串長度:850)---->46___2___1010-1030___0___Break______(字串長度:36)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->46(字串長度:2)'),(5108,'2023-08-26 12:00:29',47,'name---->趙佑錫(字串長度:9)---->2(字串長度:1)```name2---->Erick Chao(字串長度:10)---->1030-1030(字串長度:9)```talk_title---->The Evolution of AI in Chip Design(字串長度:34)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Cadence Design Systems(字串長度:22)---->0(字串長度:1)```position---->Sr Software Architect (字串長度:22)---->Leading-edge Tech(字串長度:17)```company2---->ML INFRA(字串長度:8)---->Leading-edge Tech(字串長度:17)```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)---->47___2___1030-1030___0___Leading-edge Tech______(字串長度:48)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->47(字串長度:2)'),(5109,'2023-08-26 12:00:29',48,'name---->唐文力(字串長度:9)---->2(字串長度:1)```name2---->Luba Tang(字串長度:9)---->1030-1030(字串長度:9)```talk_title---->Neural-network Processing Unit Hardware-software Co-design IP (字串長度:62)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Skymizer(字串長度:8)---->1(字串長度:1)```position---->CEO(字串長度:3)---->AI for Chips(字串長度:12)```company2---->(字串長度:0)---->AI for Chips(字串長度:12)```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)---->48___2___1030-1030___1___AI for Chips______(字串長度:43)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->48(字串長度:2)'),(5110,'2023-08-26 12:00:29',49,'name---->邱銘彰(字串長度:9)---->2(字串長度:1)```name2---->Jeremy Chiu(字串長度:11)---->1030-1030(字串長度:9)```talk_title---->Unleashing the Cyber Magic: The Future of Blue Team Defense\r(字串長度:60)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->CyCraft(字串長度:7)---->2(字串長度:1)```position---->Founder(字串長度:7)---->Language-Defined Virtual Assistants(字串長度:35)```company2---->(字串長度:0)---->Language-Defined Virtual Assistants(字串長度:35)```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)---->49___2___1030-1030___2___Language-Defined Virtual Assistants______(字串長度:66)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->49(字串長度:2)'),(5111,'2023-08-26 12:00:29',50,'name---->黃俊穎(字串長度:9)---->2(字串長度:1)```name2---->Chun-Ying Huang(字串長度:15)---->1030-1030(字串長度:9)```talk_title---->Generative AI: Challenges and Opportunities for System Security(字串長度:63)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->National Yang Ming Chiao Tung University(字串長度:40)---->3(字串長度:1)```position---->Institute of Network Engineering / Director(字串長度:43)---->AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>(字串長度:124)```company2---->(字串長度:0)---->AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>(字串長度:124)```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)---->50___2___1030-1030___3___AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>______(字串長度:155)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->50(字串長度:2)'),(5112,'2023-08-26 12:00:29',51,'name---->TBD-51(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名51(字串長度:14)---->1030-1100(字串長度:9)```talk_title---->題目51(字串長度:8)---->李宏毅(字串長度:9)```talk_lang---->中文(字串長度:6)---->39(字串長度:2)```company---->服務單位51(字串長度:14)---->0(字串長度:1)```position---->職稱51(字串長度:8)----><b>李宏毅 副教授 (National Taiwan University)</b>(字串長度:55)```company2---->服務單位二51(字串長度:17)----><b>李宏毅 副教授 (National Taiwan University)</b>(字串長度:55)```position2---->職稱二51(字串長度:11)---->李宏毅(字串長度:9)```desc---->摘要51(字串長度:8)---->(字串長度:0)```me_desc---->簡介51(字串長度:8)---->51___2___1030-1100___0___<b>李宏毅 副教授 (National Taiwan University)</b>___李宏毅___39(字串長度:97)```talkfile_link---->簡報51(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->51(字串長度:2)'),(5113,'2023-08-26 12:00:29',52,'name---->TBD-52(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名52(字串長度:14)---->1030-1100(字串長度:9)```talk_title---->題目52(字串長度:8)---->尹維作(字串長度:9)```talk_lang---->中文(字串長度:6)---->82(字串長度:2)```company---->服務單位52(字串長度:14)---->1(字串長度:1)```position---->職稱52(字串長度:8)----><b>尹維作 業務副總經理 (Synopsys)</b>(字串長度:46)```company2---->服務單位二52(字串長度:17)----><b>尹維作 業務副總經理 (Synopsys)</b>(字串長度:46)```position2---->職稱二52(字串長度:11)---->尹維作(字串長度:9)```desc---->摘要52(字串長度:8)---->(字串長度:0)```me_desc---->簡介52(字串長度:8)---->52___2___1030-1100___1___<b>尹維作 業務副總經理 (Synopsys)</b>___尹維作___82(字串長度:88)```talkfile_link---->簡報52(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->52(字串長度:2)'),(5114,'2023-08-26 12:00:29',53,'name---->李彥樞(字串長度:9)---->2(字串長度:1)```name2---->YAN LEE(字串長度:7)---->1030-1100(字串長度:9)```talk_title---->Investment Trends in Generative AI(字串長度:34)---->李彥樞(字串長度:9)```talk_lang---->中文(字串長度:6)---->53(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->HIVE VENTURES(字串長度:13)---->2(字串長度:1)```position---->Founder and Managing Partner(字串長度:28)----><b>李彥樞 創辦人 (Hive Ventures) </b>(字串長度:43)```company2---->(字串長度:0)----><b>李彥樞 創辦人 (Hive Ventures) </b>(字串長度:43)```position2---->(字串長度:0)---->李彥樞(字串長度:9)```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)---->53___2___1030-1100___2___<b>李彥樞 創辦人 (Hive Ventures) </b>___李彥樞___53(字串長度:85)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->53(字串長度:2)'),(5115,'2023-08-26 12:00:29',54,'name---->張榮貴(字串長度:9)---->2(字串長度:1)```name2---->James Chang(字串長度:11)---->1030-1100(字串長度:9)```talk_title---->Redefining Customer Service in the Generative AI Era(字串長度:52)---->林穎俊(字串長度:9)```talk_lang---->中文(字串長度:6)---->60(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->AI3 Co.(字串長度:7)---->3(字串長度:1)```position---->Chaiman(字串長度:7)----><b>林穎俊 老師 (Jhongshan Elementary School)</b>(字串長度:53)```company2---->(字串長度:0)----><b>林穎俊 老師 (Jhongshan Elementary School)</b>(字串長度:53)```position2---->(字串長度:0)---->林穎俊(字串長度:9)```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)---->54___2___1030-1100___3___<b>林穎俊 老師 (Jhongshan Elementary School)</b>___林穎俊___60(字串長度:95)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->54(字串長度:2)'),(5116,'2023-08-26 12:00:29',55,'name---->何建幟(字串長度:9)---->2(字串長度:1)```name2---->Ernie Ho(字串長度:8)---->1100-1130(字串長度:9)```talk_title---->The Rise of AI Agents: A Virtual Workforce Available 24/7(字串長度:57)---->楊佳玲(字串長度:9)```talk_lang---->中文(字串長度:6)---->40(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->HelperAI & Chainsight(字串長度:21)---->0(字串長度:1)```position---->Cofounder & CEO(字串長度:15)----><b>楊佳玲 教授 (National Taiwan University)</b>(字串長度:52)```company2---->(字串長度:0)----><b>楊佳玲 教授 (National Taiwan University)</b>(字串長度:52)```position2---->(字串長度:0)---->楊佳玲(字串長度:9)```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)---->55___2___1100-1130___0___<b>楊佳玲 教授 (National Taiwan University)</b>___楊佳玲___40(字串長度:94)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->55(字串長度:2)'),(5117,'2023-08-26 12:00:29',56,'name---->郭昶甫(字串長度:9)---->2(字串長度:1)```name2---->Kuo,Chang-Fu(字串長度:12)---->1100-1130(字串長度:9)```talk_title---->The Role of Artificial Intelligence in Clinical Decision-making(字串長度:63)---->趙佑錫(字串長度:9)```talk_lang---->中文(字串長度:6)---->47(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Chang Gung Memorial Hospital, Linkou(字串長度:36)---->1(字串長度:1)```position---->Center for Artificial Intelligence in Medicine,Director(字串長度:55)----><b>趙佑錫 資深架構師 (Cadence)</b>(字串長度:42)```company2---->(字串長度:0)----><b>趙佑錫 資深架構師 (Cadence)</b>(字串長度:42)```position2---->(字串長度:0)---->趙佑錫(字串長度:9)```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)---->56___2___1100-1130___1___<b>趙佑錫 資深架構師 (Cadence)</b>___趙佑錫___47(字串長度:84)```talkfile_link---->x(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->56(字串長度:2)'),(5118,'2023-08-26 12:00:29',57,'name---->張詠淳(字串長度:9)---->2(字串長度:1)```name2---->Yung-Chun Chang(字串長度:15)---->1100-1130(字串長度:9)```talk_title---->The Future is Here - Unlocking the Potential of Clinical Data with NLP(字串長度:70)---->張榮貴(字串長度:9)```talk_lang---->中文(字串長度:6)---->54(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Graduate Institute of Data Science, Taipei Medical University(字串長度:61)---->2(字串長度:1)```position---->Associate Professor(字串長度:19)----><b>張榮貴 董事長 (Ai3)</b>(字串長度:32)```company2---->Office of Data Science, Taipei Medical University(字串長度:49)----><b>張榮貴 董事長 (Ai3)</b>(字串長度:32)```position2---->Deputy Chief Data Officer(字串長度:25)---->張榮貴(字串長度:9)```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)---->57___2___1100-1130___2___<b>張榮貴 董事長 (Ai3)</b>___張榮貴___54(字串長度:74)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->57(字串長度:2)'),(5119,'2023-08-26 12:00:29',58,'name---->TBD-58(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名58(字串長度:14)---->1100-1130(字串長度:9)```talk_title---->題目58(字串長度:8)---->李海碩(字串長度:9)```talk_lang---->中文(字串長度:6)---->61(字串長度:2)```company---->服務單位58(字串長度:14)---->3(字串長度:1)```position---->職稱58(字串長度:8)----><b>李海碩 總校長 (Wagor International School)</b>(字串長度:55)```company2---->服務單位二58(字串長度:17)----><b>李海碩 總校長 (Wagor International School)</b>(字串長度:55)```position2---->職稱二58(字串長度:11)---->李海碩(字串長度:9)```desc---->摘要58(字串長度:8)---->(字串長度:0)```me_desc---->簡介58(字串長度:8)---->58___2___1100-1130___3___<b>李海碩 總校長 (Wagor International School)</b>___李海碩___61(字串長度:97)```talkfile_link---->簡報58(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->58(字串長度:2)'),(5120,'2023-08-26 12:00:29',59,'name---->TBD-59(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名59(字串長度:14)---->1130-1200(字串長度:9)```talk_title---->題目59(字串長度:8)---->陳佩君(字串長度:9)```talk_lang---->中文(字串長度:6)---->41(字串長度:2)```company---->服務單位59(字串長度:14)---->0(字串長度:1)```position---->職稱59(字串長度:8)----><b>陳佩君 人工智慧研發中心技術長 (Microsoft Taiwan)</b>(字串長度:69)```company2---->服務單位二59(字串長度:17)----><b>陳佩君 人工智慧研發中心技術長 (Microsoft Taiwan)</b>(字串長度:69)```position2---->職稱二59(字串長度:11)---->陳佩君(字串長度:9)```desc---->摘要59(字串長度:8)---->(字串長度:0)```me_desc---->簡介59(字串長度:8)---->59___2___1130-1200___0___<b>陳佩君 人工智慧研發中心技術長 (Microsoft Taiwan)</b>___陳佩君___41(字串長度:111)```talkfile_link---->簡報59(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->59(字串長度:2)'),(5121,'2023-08-26 12:00:29',60,'name---->林穎俊(字串長度:9)---->2(字串長度:1)```name2---->LIN YING-CHUN(字串長度:13)---->1130-1200(字串長度:9)```talk_title---->Applying AI in the Classroom (字串長度:29)---->唐文力(字串長度:9)```talk_lang---->中文(字串長度:6)---->48(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Jhong Shan Elementary School of Yilan County(字串長度:44)---->1(字串長度:1)```position---->Section Chief of Information Technology(字串長度:39)----><b>唐文力 創辦人 (Skymizer)</b>(字串長度:37)```company2---->(字串長度:0)----><b>唐文力 創辦人 (Skymizer)</b>(字串長度:37)```position2---->(字串長度:0)---->唐文力(字串長度:9)```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)---->60___2___1130-1200___1___<b>唐文力 創辦人 (Skymizer)</b>___唐文力___48(字串長度:79)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->60(字串長度:2)'),(5122,'2023-08-26 12:00:29',61,'name---->李海碩(字串長度:9)---->2(字串長度:1)```name2---->Lee Haishuo(字串長度:11)---->1130-1200(字串長度:9)```talk_title---->Future-Proofing Humanity: Strategies for Thriving in an AI-Dominated Epoch(字串長度:74)---->何建幟(字串長度:9)```talk_lang---->中文(字串長度:6)---->55(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Wagor International School(字串長度:26)---->2(字串長度:1)```position---->Superintendent(字串長度:14)----><b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>(字串長度:52)```company2---->1111 AIGC Innovative Academy(字串長度:28)----><b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>(字串長度:52)```position2---->CEO(字串長度:3)---->何建幟(字串長度:9)```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)---->61___2___1130-1200___2___<b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>___何建幟___55(字串長度:94)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->61(字串長度:2)'),(5123,'2023-08-26 12:00:29',62,'name---->巫勇賢(字串長度:9)---->2(字串長度:1)```name2---->Yung-Hsien Wu(字串長度:13)---->1130-1200(字串長度:9)```talk_title---->Impact of Generative Artificial Intelligence on Higher Education(字串長度:64)---->巫勇賢(字串長度:9)```talk_lang---->中文(字串長度:6)---->62(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->National Tsing Hua University(字串長度:29)---->3(字串長度:1)```position---->Office of Academic Affairs/Vice President for Academic Affairs(字串長度:62)----><b>巫勇賢 教務長 (National Tsing Hua University)</b>(字串長度:58)```company2---->(字串長度:0)----><b>巫勇賢 教務長 (National Tsing Hua University)</b>(字串長度:58)```position2---->(字串長度:0)---->巫勇賢(字串長度:9)```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)---->62___2___1130-1200___3___<b>巫勇賢 教務長 (National Tsing Hua University)</b>___巫勇賢___62(字串長度:100)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->62(字串長度:2)'),(5124,'2023-08-26 12:00:29',64,'name---->陳舜伶(字串長度:9)---->2(字串長度:1)```name2---->Shun-Ling Chen(字串長度:14)---->1330-1330(字串長度:9)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->中央研究院法律學研究所(字串長度:33)---->0(字串長度:1)```position---->副研究員(字串長度:12)---->Trustworthy AI(字串長度:14)```company2---->中央研究院法律學研究所資訊法中心副主任(字串長度:57)---->Trustworthy AI(字串長度:14)```me_desc---->(字串長度:0)---->64___2___1330-1330___0___Trustworthy AI______(字串長度:45)```talkfile_link---->簡報64(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->64(字串長度:2)'),(5125,'2023-08-26 12:00:29',65,'name---->TBD-65(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名65(字串長度:14)---->1330-1330(字串長度:9)```talk_title---->題目65(字串長度:8)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```company---->服務單位65(字串長度:14)---->1(字串長度:1)```position---->職稱65(字串長度:8)---->Cybersecurity(字串長度:13)```company2---->服務單位二65(字串長度:17)---->Cybersecurity(字串長度:13)```position2---->職稱二65(字串長度:11)---->(字串長度:0)```desc---->摘要65(字串長度:8)---->(字串長度:0)```me_desc---->簡介65(字串長度:8)---->65___2___1330-1330___1___Cybersecurity______(字串長度:44)```talkfile_link---->簡報65(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->65(字串長度:2)'),(5126,'2023-08-26 12:00:29',66,'name---->TBD-66(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->英文姓名66(字串長度:14)---->1330-1330(字串長度:9)```talk_title---->題目66(字串長度:8)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```company---->服務單位66(字串長度:14)---->2(字串長度:1)```position---->職稱66(字串長度:8)---->Medical AI(字串長度:10)```company2---->服務單位二66(字串長度:17)---->Medical AI(字串長度:10)```position2---->職稱二66(字串長度:11)---->(字串長度:0)```desc---->摘要66(字串長度:8)---->(字串長度:0)```me_desc---->簡介66(字串長度:8)---->66___2___1330-1330___2___Medical AI______(字串長度:41)```talkfile_link---->簡報66(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->66(字串長度:2)'),(5127,'2023-08-26 12:00:29',67,'name---->張嘉淵(字串長度:9)---->2(字串長度:1)```name2---->Ted Chang(字串長度:9)---->1330-1330(字串長度:9)```talk_title---->Prompting The Future: Transforming Medicine through Generative AI(字串長度:65)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Quanta Computer(字串長度:15)---->3(字串長度:1)```position---->CTO(字串長度:3)---->AI & Humanity(字串長度:13)```company2---->(字串長度:0)---->AI & Humanity(字串長度:13)```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:2605)---->67___2___1330-1330___3___AI & Humanity______(字串長度:44)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AIK(字串長度:3)---->67(字串長度:2)'),(5128,'2023-08-26 12:00:29',68,'name---->蔡明順(字串長度:9)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->Richie Tsai(字串長度:11)---->1330-1400(字串長度:9)```talk_title---->人才破繭生成未來：AIA 人才能力認證計畫(字串長度:55)---->簡宏偉(字串長度:9)```talk_lang---->中文(字串長度:6)---->42(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Taiwan AI Academy(字串長度:17)---->0(字串長度:1)```position---->Provost(字串長度:7)----><b>簡宏偉 執行副總經理 (Deloitte)</b>(字串長度:46)```company2---->(字串長度:0)----><b>簡宏偉 執行副總經理 (Deloitte)</b>(字串長度:46)```position2---->(字串長度:0)---->簡宏偉(字串長度:9)```me_desc---->(字串長度:0)---->68___2___1330-1400___0___<b>簡宏偉 執行副總經理 (Deloitte)</b>___簡宏偉___42(字串長度:88)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->HOST(字串長度:4)---->68(字串長度:2)'),(5129,'2023-08-26 12:00:29',69,'name---->Lawrence Lessig(字串長度:15)---->2(字串長度:1)```name2---->Lester Lawrence Lessig(字串長度:22)---->1330-1400(字串長度:9)```talk_title---->AI and the Law(字串長度:14)---->邱銘彰(字串長度:9)```talk_lang---->英文(字串長度:6)---->49(字串長度:2)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Harvard University(字串長度:18)---->1(字串長度:1)```position---->Law School(字串長度:10)----><b>邱銘彰 創辦人 (CyCraft Technology)</b>(字串長度:47)```company2---->(字串長度:0)----><b>邱銘彰 創辦人 (CyCraft Technology)</b>(字串長度:47)```position2---->(字串長度:0)---->邱銘彰(字串長度:9)```me_desc---->About Lessig About Lessig 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.https://lessig.org/about/(字串長度:1141)---->69___2___1330-1400___1___<b>邱銘彰 創辦人 (CyCraft Technology)</b>___邱銘彰___49(字串長度:89)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AIK(字串長度:3)---->69(字串長度:2)'),(5130,'2023-08-26 12:00:29',70,'name---->TBD-70(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-70(字串長度:6)---->1330-1400(字串長度:9)```talk_title---->(字串長度:0)---->郭昶甫(字串長度:9)```talk_lang---->中文(字串長度:6)---->56(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->(字串長度:0)---->2(字串長度:1)```position---->(字串長度:0)----><b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>(字串長度:83)```company2---->(字串長度:0)----><b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>(字串長度:83)```position2---->(字串長度:0)---->郭昶甫(字串長度:9)```me_desc---->(字串長度:0)---->70___2___1330-1400___2___<b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>___郭昶甫___56(字串長度:125)```talkfile_link---->簡報70(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->70(字串長度:2)'),(5131,'2023-08-26 12:00:29',71,'name---->Richie(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->Richie(字串長度:6)---->1330-1400(字串長度:9)```talk_title---->(字串長度:0)---->林勤富(字串長度:9)```talk_lang---->中文(字串長度:6)---->63(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->(字串長度:0)---->3(字串長度:1)```position---->(字串長度:0)----><b>林勤富 教授 (National Tsing Hua University) </b>(字串長度:56)```company2---->(字串長度:0)----><b>林勤富 教授 (National Tsing Hua University) </b>(字串長度:56)```position2---->(字串長度:0)---->林勤富(字串長度:9)```me_desc---->(字串長度:0)---->71___2___1330-1400___3___<b>林勤富 教授 (National Tsing Hua University) </b>___林勤富___63(字串長度:98)```talkfile_link---->簡報71(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->71(字串長度:2)'),(5132,'2023-08-26 12:00:29',72,'name---->TBD-72(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-72(字串長度:6)---->1400-1430(字串長度:9)```talk_title---->(字串長度:0)---->劉嘉凱(字串長度:9)```talk_lang---->中文(字串長度:6)---->43(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```position---->(字串長度:0)----><b>劉嘉凱 執行長 (DSP)</b>(字串長度:32)```company2---->(字串長度:0)----><b>劉嘉凱 執行長 (DSP)</b>(字串長度:32)```position2---->(字串長度:0)---->劉嘉凱(字串長度:9)```me_desc---->(字串長度:0)---->72___2___1400-1430___0___<b>劉嘉凱 執行長 (DSP)</b>___劉嘉凱___43(字串長度:74)```talkfile_link---->簡報72(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->72(字串長度:2)'),(5133,'2023-08-26 12:00:29',73,'name---->TBD-73(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-73(字串長度:6)---->1400-1430(字串長度:9)```talk_title---->(字串長度:0)---->黃俊穎(字串長度:9)```talk_lang---->中文(字串長度:6)---->50(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->(字串長度:0)---->1(字串長度:1)```position---->(字串長度:0)----><b>黃俊穎 教授 (NYCU)</b>(字串長度:30)```company2---->(字串長度:0)----><b>黃俊穎 教授 (NYCU)</b>(字串長度:30)```position2---->(字串長度:0)---->黃俊穎(字串長度:9)```me_desc---->(字串長度:0)---->73___2___1400-1430___1___<b>黃俊穎 教授 (NYCU)</b>___黃俊穎___50(字串長度:72)```talkfile_link---->簡報73(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->73(字串長度:2)'),(5134,'2023-08-26 12:00:29',74,'name---->TBD-74(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-74(字串長度:6)---->1400-1430(字串長度:9)```talk_title---->(字串長度:0)---->張詠淳(字串長度:9)```talk_lang---->中文(字串長度:6)---->57(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->(字串長度:0)---->2(字串長度:1)```position---->(字串長度:0)----><b>張詠淳 副教授 (Taipei Medical University) </b>(字串長度:55)```company2---->(字串長度:0)----><b>張詠淳 副教授 (Taipei Medical University) </b>(字串長度:55)```position2---->(字串長度:0)---->張詠淳(字串長度:9)```me_desc---->(字串長度:0)---->74___2___1400-1430___2___<b>張詠淳 副教授 (Taipei Medical University) </b>___張詠淳___57(字串長度:97)```talkfile_link---->簡報74(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->74(字串長度:2)'),(5135,'2023-08-26 12:00:29',75,'name---->TBD-75(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-75(字串長度:6)---->1400-1430(字串長度:9)```talk_title---->(字串長度:0)---->陳舜伶(字串長度:9)```talk_lang---->中文(字串長度:6)---->64(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->(字串長度:0)---->3(字串長度:1)```position---->(字串長度:0)----><b>陳舜伶 副研究員 ( Academia Sinica)</b>(字串長度:48)```company2---->(字串長度:0)----><b>陳舜伶 副研究員 ( Academia Sinica)</b>(字串長度:48)```position2---->(字串長度:0)---->陳舜伶(字串長度:9)```me_desc---->(字串長度:0)---->75___2___1400-1430___3___<b>陳舜伶 副研究員 ( Academia Sinica)</b>___陳舜伶___64(字串長度:90)```talkfile_link---->簡報75(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->75(字串長度:2)'),(5136,'2023-08-26 12:00:30',76,'name---->TBD-76(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-76(字串長度:6)---->1430-1520(字串長度:9)```talk_title---->(字串長度:0)---->Lawrence Lessig(字串長度:15)```talk_lang---->中文(字串長度:6)---->69(字串長度:2)```can_playback---->no(字串長度:2)---->(字串長度:0)```position---->(字串長度:0)----><b>Lawrence Lessig (Harvard University)</b>(字串長度:43)```company2---->(字串長度:0)----><b>Lawrence Lessig (Harvard University)</b>(字串長度:43)```position2---->(字串長度:0)---->Lawrence(字串長度:8)```me_desc---->(字串長度:0)---->76___2___1430-1520___0___<b>Lawrence Lessig (Harvard University)</b>___Lawrence___69(字串長度:84)```talkfile_link---->簡報76(字串長度:8)---->(字串長度:0)```conf---->HOST(字串長度:4)---->76(字串長度:2)'),(5137,'2023-08-26 12:00:30',77,'name---->郭秉宸(字串長度:9)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->Benjamin Kuo(字串長度:12)---->1520-1550(字串長度:9)```talk_title---->Closing Remarks(字串長度:15)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Taiwan AI Academy(字串長度:17)---->0(字串長度:1)```position---->Industry Development Director(字串長度:29)---->☕ Coffee Break(字串長度:16)```company2---->(字串長度:0)---->☕ Coffee Break(字串長度:16)```me_desc---->(字串長度:0)---->77___2___1520-1550___0___☕ Coffee Break______(字串長度:47)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->HOST(字串長度:4)---->77(字串長度:2)'),(5138,'2023-08-26 12:00:30',78,'name---->胡瑛敏(字串長度:9)---->2(字串長度:1)```name2---->Amy Hu(字串長度:6)---->1550-1720(字串長度:9)```talk_title---->Generative AI on Intel® Architecture(字串長度:37)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Intel(字串長度:5)---->0(字串長度:1)```position---->Taiwan Site Manager, Habana Labs(字串長度:32)----><span class=\"anno-area left-side\">   <span class=\"anno-icon icon-playback\"></span> </span> <b>【 陳昇瑋紀念講座專家論壇 】</b><br> <span class=\"imgs\">   <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>   <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>   <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>   <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a> </span> <b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br> <b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>(字串長度:853)```company2---->(字串長度:0)----><span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span></span><b>【 陳昇瑋紀念講座專家論壇 】</b><br><span class=\"imgs\">  <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>  <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>  <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>  <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a></span><b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br><b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>(字串長度:842)```position2---->(字串長度:0)----><span(字串長度:5)```desc---->(字串長度:0)---->######(字串長度:6)```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)---->78___2___1550-1720___0___<span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span></span><b>【 陳昇瑋紀念講座專家論壇 】</b><br><span class=\"imgs\">  <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>  <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>  <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>  <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a></span><b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br><b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>___<span___(字串長度:878)```talkfile_link---->簡報78(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->78(字串長度:2)'),(5139,'2023-08-26 12:00:30',79,'name---->TBD-79(字串長度:6)---->2(字串長度:1)```hide---->1(字串長度:1)---->(字串長度:0)```name2---->TBD-79(字串長度:6)---->1720-1730(字串長度:9)```talk_title---->(字串長度:0)---->郭秉宸(字串長度:9)```talk_lang---->中文(字串長度:6)---->77(字串長度:2)```position---->(字串長度:0)----><b>郭秉宸 產學長 (Taiwan AI Academy)</b>(字串長度:46)```company2---->(字串長度:0)----><b>郭秉宸 產學長 (Taiwan AI Academy)</b>(字串長度:46)```position2---->(字串長度:0)---->郭秉宸(字串長度:9)```me_desc---->(字串長度:0)---->79___2___1720-1730___0___<b>郭秉宸 產學長 (Taiwan AI Academy)</b>___郭秉宸___77(字串長度:88)```talkfile_link---->簡報79(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->79(字串長度:2)'),(5140,'2023-08-26 12:01:15',4,'name---->紀懷新(字串長度:9)---->1(字串長度:1)```name2---->(字串長度:0)---->0930-1020(字串長度:9)```talk_title---->(字串長度:0)---->林百里(字串長度:9)```talk_lang---->中文(字串長度:6)---->3(字串長度:1)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Google DeepMind(字串長度:15)---->0(字串長度:1)```position---->Distinguished Scientist & Research Lead(字串長度:39)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span> <b>【 KEYNOTE 】</b><br><span class=\"imgs\"> <a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a> <a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> </span> <span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br> <b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>(字串長度:498)```company2---->(字串長度:0)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><b>【 KEYNOTE 】</b><br><span class=\"imgs\"><a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a><a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a></span><span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br><b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>(字串長度:492)```position2---->(字串長度:0)---->林百里(字串長度:9)```me_desc---->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 >660 product improvements since 2013. \r \r 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:1237)---->4___1___0930-1020___0___<span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><b>【 KEYNOTE 】</b><br><span class=\"imgs\"><a href=\"/barry-lam\"><img class=\"speaker_img\" src=\"/img/speaker/ca5c6bd8.png\" alt=\"林百里\"></a><a href=\"/speaker-67\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a></span><span class=\"purple\">▌Prompting The Future: Transforming Medicine through Generative AI</span><br><b>林百里 董事長、張嘉淵 技術長 (Quanta)</b>___林百里___3(字串長度:532)```talkfile_link---->簡報4(字串長度:7)---->(字串長度:0)```conf---->AIK(字串長度:3)---->4(字串長度:1)'),(5141,'2023-08-26 12:01:15',6,'name---->張嘉淵(字串長度:9)---->1(字串長度:1)```name2---->Ted Chang(字串長度:9)---->1030-1120(字串長度:9)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Quanta Computer(字串長度:15)---->0(字串長度:1)```position---->CTO(字串長度:3)----><b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br> <span class=\"imgs\">   <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a> </span> <b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>(字串長度:265)```company2---->(字串長度:0)----><b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br><span class=\"imgs\">  <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a></span><b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>(字串長度:261)```me_desc---->(字串長度:0)---->6___1___1030-1120___0___<b>【 陳昇瑋紀念講座 KEYNOTE 】</b><br><span class=\"imgs\">  <a href=\"/speaker-4\"><img class=\"speaker_img\" src=\"/img/speaker/ea31451e.jpg\" alt=\"紀懷新\"></a></span><b> Ed H. Chi (紀懷新) Distinguished Scientist & Research Lead (Google DeepMind)</b>______(字串長度:291)```talkfile_link---->簡報6(字串長度:7)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->6(字串長度:1)'),(5142,'2023-08-26 12:01:15',7,'name---->李育杰(字串長度:9)---->1(字串長度:1)```name2---->Yuh-Jye Lee(字串長度:11)---->1120-1220(字串長度:9)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->Academia Sinica(字串長度:15)---->0(字串長度:1)```position---->研究員(字串長度:9)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span> <span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br> <span class=\"imgs\">  <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a>  <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a>  <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a> </span> <b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>(字串長度:651)```company2---->(字串長度:0)----><span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br><span class=\"imgs\"> <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a> <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a></span><b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>(字串長度:644)```position2---->(字串長度:0)---->Moderator:(字串長度:10)```desc---->(字串長度:0)---->######(字串長度:6)```me_desc---->(字串長度:0)---->7___1___1120-1220___0___<span class=\"anno-area left-side\"><span class=\"anno-icon icon-playback\"></span></span><span class=\"purple\"><b>【 生成式 AI 開啟的技術與產業革新 】</b></span><br><span class=\"imgs\"> <a href=\"/lee-feng-chien\"><img class=\"speaker_img\" src=\"/img/speaker/f9521fcf.jpg\" alt=\"簡立峰\"></a> <a href=\"/ted-chang\"><img class=\"speaker_img\" src=\"/img/speaker/41ebeef3.jpg\" alt=\"張嘉淵\"></a> <a href=\"/yuh-jye-lee\"><img class=\"speaker_img\" src=\"/img/speaker/bb2d9300.jpg\" alt=\"李育杰\"></a></span><b>Moderator: 簡立峰 博士 (Appier&iKala)</b><br><b>Panelist: 張嘉淵 技術長 (Quanta)、李育杰 研究員 (Academia Sinica)</b>___Moderator:___(字串長度:684)```talkfile_link---->簡報7(字串長度:7)---->(字串長度:0)```conf---->PANEL(字串長度:5)---->7(字串長度:1)'),(5143,'2023-08-26 12:01:15',11,'name---->吳漢章(字串長度:9)---->1(字串長度:1)```name2---->Peter Wu(字串長度:8)---->1330-1400(字串長度:9)```talk_title----> Democratizing LLM to Empower Generative AI Innovations(字串長度:55)---->#VALUE!(字串長度:7)```talk_lang---->中文(字串長度:6)---->15+78+79(字串長度:8)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->TWSC(字串長度:4)---->1(字串長度:1)```position---->CEO(字串長度:3)----><span class=\'imgs\'> <a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a> <a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a> </span> <span class=\"purple\">▌Generative AI on Intel® Architecture</span><br> <b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>(字串長度:420)```company2---->(字串長度:0)----><span class=\'imgs\'><a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a><a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a></span><span class=\"purple\">▌Generative AI on Intel® Architecture</span><br><b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>(字串長度:415)```position2---->(字串長度:0)---->王宗業(字串長度:9)```desc---->(字串長度:0)---->#VALUE!(字串長度:7)```me_desc---->(字串長度:0)---->11___1___1330-1400___1___<span class=\'imgs\'><a href=\'/chungyeh-wang\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/7df5ff29.jpg\' alt=\'王宗業\'></a><a href=\'/amy-hu\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/965b58d4.jpg\' alt=\'胡瑛敏\'></a></span><span class=\"purple\">▌Generative AI on Intel® Architecture</span><br><b>王宗業 研發協理、胡瑛敏 Habana Lab 總經理 (Intel)</b>___王宗業___15+78+79(字串長度:463)```talkfile_link---->Ｘ(字串長度:3)---->(字串長度:0)```conf---->AI(字串長度:2)---->11(字串長度:2)'),(5144,'2023-08-26 12:01:15',18,'name---->康勝閔(字串長度:9)---->1(字串長度:1)```name2---->Eric Kang(字串長度:9)---->1400-1430(字串長度:9)```talk_title---->NVIDIA Grace Hopper Superchip Architecture In-Depth(字串長度:51)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->NVIDIA(字串長度:6)---->0(字串長度:1)```position---->Senior Manger, Solution Architect (字串長度:34)----><span class=\"anno-area left-side\">   <span class=\"anno-icon icon-playback\"></span>   <span class=\"anno-icon icon-slide\"></span> </span> <span class=\'imgs\'> <a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a> <a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a> </span> <b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>(字串長度:488)```company2---->(字串長度:0)----><span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span class=\'imgs\'><a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a><a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a></span><b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>(字串長度:480)```position2---->(字串長度:0)---->黃彥男(字串長度:9)```desc---->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)---->######(字串長度:6)```me_desc---->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)---->18___1___1400-1430___0___<span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span class=\'imgs\'><a href=\'/huang-yennun\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/fe12e592.jpg\' alt=\'黃彥男\'></a><a href=\'/lun-wei-ku\'><img style=\'width:30%;display:inline;margin:0 1%\' src=\'/img/speaker/77d2d0b7.jpg\' alt=\'古倫維\'></a></span><b>黃彥男 特聘研究員、古倫維 研究員 (Academia Sinica)</b>___黃彥男___(字串長度:520)```talkfile_link---->X(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->18(字串長度:2)'),(5145,'2023-08-26 12:01:15',39,'name---->李宏毅(字串長度:9)---->1(字串長度:1)```name2---->Hung-yi Lee(字串長度:11)---->1630-1715(字串長度:9)```talk_title---->Towards a Speech Version of ChatGPT(字串長度:35)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->(字串長度:0)```company---->台灣大學(字串長度:12)---->0(字串長度:1)```position---->電機工程學系副教授(字串長度:27)----><span class=\"anno-area one-track-keynote right-side\">   <span class=\"anno-icon icon-eng\"></span>   <span class=\"anno-icon icon-remote\"></span> </span> <span class=\"anno-area one-track-keynote  left-side\">   <span class=\"anno-icon icon-playback\"></span>   <span class=\"anno-icon icon-slide\"></span> </span> <span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br> <span class=\"imgs\"> <a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a> </span> <span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br> <b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>(字串長度:703)```company2---->(字串長度:0)----><span class=\"anno-area one-track-keynote right-side\">  <span class=\"anno-icon icon-eng\"></span>  <span class=\"anno-icon icon-remote\"></span></span><span class=\"anno-area one-track-keynote  left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br><span class=\"imgs\"><a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a></span><span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br><b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>(字串長度:690)```position2---->(字串長度:0)---->Thomas(字串長度:6)```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:6)```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)---->39___1___1630-1715___0___<span class=\"anno-area one-track-keynote right-side\">  <span class=\"anno-icon icon-eng\"></span>  <span class=\"anno-icon icon-remote\"></span></span><span class=\"anno-area one-track-keynote  left-side\">  <span class=\"anno-icon icon-playback\"></span>  <span class=\"anno-icon icon-slide\"></span></span><span id=\"keynote-3\" style=\'width:100%;height:60px;line-height:60px;display:block;\'><b>【 KEYNOTE 】</b></span><br><span class=\"imgs\"><a href=\"thomas-scialom\"><img class=\"speaker_img\" src=\"/img/speaker/d0aabc21.jpg\" alt=\"Thomas Scialom\"></a></span><span class=\"purple\">▌Large Language Models, Generative AI and Scaling</span><br><b>Thomas Scialom, Research Scientist (Meta AI)</b><br><br>___Thomas___(字串長度:727)```talkfile_link---->V(字串長度:1)---->(字串長度:0)```conf---->AI(字串長度:2)---->39(字串長度:2)'),(5146,'2023-08-26 12:01:16',78,'name---->胡瑛敏(字串長度:9)---->2(字串長度:1)```name2---->Amy Hu(字串長度:6)---->1550-1720(字串長度:9)```talk_title---->Generative AI on Intel® Architecture(字串長度:37)---->(字串長度:0)```talk_lang---->中文(字串長度:6)---->(字串長度:0)```can_playback---->no(字串長度:2)---->(字串長度:0)```company---->Intel(字串長度:5)---->0(字串長度:1)```position---->Taiwan Site Manager, Habana Labs(字串長度:32)----><span class=\"anno-area left-side\">   <span class=\"anno-icon icon-playback\"></span> </span> <b>【 陳昇瑋紀念講座專家論壇 】</b><br> <span class=\"imgs\">   <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>   <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>   <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>   <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a> </span> <b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br> <b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>(字串長度:853)```company2---->(字串長度:0)----><span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span></span><b>【 陳昇瑋紀念講座專家論壇 】</b><br><span class=\"imgs\">  <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>  <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>  <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>  <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a></span><b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br><b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>(字串長度:842)```position2---->(字串長度:0)----><span(字串長度:5)```desc---->(字串長度:0)---->######(字串長度:6)```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)---->78___2___1550-1720___0___<span class=\"anno-area left-side\">  <span class=\"anno-icon icon-playback\"></span></span><b>【 陳昇瑋紀念講座專家論壇 】</b><br><span class=\"imgs\">  <a href=\"isabel-hou\"><img class=\"speaker_img\" src=\"/img/speaker/1c6c4dd5.jpg\" alt=\"侯宜秀\"></a>  <a href=\"tang-feng-audrey-tang\"><img class=\"speaker_img\" src=\"/img/speaker/9dc15c5f.jpg\" alt=\"唐鳳\"></a>  <a href=\"zsehong-tsai\"><img class=\"speaker_img\" src=\"/img/speaker/1fb46077.jpg\" alt=\"蔡志宏\"></a>  <a href=\"speaker-36\"><img class=\"speaker_img\" src=\"/img/speaker/fcf96d44.png\" alt=\"林明仁\"></a></span><b><span class=\"purple\">▌共創以人為本的 AI 治理框架與路徑</span></b><br><b>Moderator: 侯宜秀 秘書長  (Taiwan AI Academy)</b><br><b>Panelist: 唐鳳 部長 (Ministry of Digital Affairs)、蔡志宏 教授 (NTU)、林明仁 特聘教授 (NTU)</b>___<span___(字串長度:878)```talkfile_link---->簡報78(字串長度:8)---->(字串長度:0)```conf---->AI(字串長度:2)---->78(字串長度:2)'),(5147,'2023-08-26 12:03:19',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5148,'2023-08-26 12:03:19',3,'name---->1(字串長度:1)---->林百里(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->0920-0930(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Quanta Computer Inc.(字串長度:20)```position---->Group Photo(字串長度:11)---->Chairman(字串長度:8)```company2---->Group Photo(字串長度:11)---->(字串長度:0)```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---->3___1___0920-0930___0___Group Photo______(字串長度:41)---->\"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:1437)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->3(字串長度:1)---->AIK(字串長度:3)'),(5149,'2023-08-26 12:03:19',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5150,'2023-08-26 12:03:19',5,'name---->1(字串長度:1)---->簡立峰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1020-1030(字串長度:9)---->Lee-Feng Chien(字串長度:14)```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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Appier and iKala(字串長度:16)```position---->Break(字串長度:5)---->Board Director (字串長度:15)```company2---->Break(字串長度:5)---->(字串長度:0)```me_desc---->5___1___1020-1030___0___Break______(字串長度:35)---->Dr. Lee-Feng Chien has spent a career immersed in innovative industries where he has worked to advance technology and scientific and technological talent. In 2006, he became Google’s first employee in Taiwan when he joined as Managing Director.   Since retiring from Google in 2020, he has actively supported the development of Taiwanese startups, including serving as Board Director of AI pioneers such as Appier, which went public in 2021, and iKala, and a mentor to numerous individual entrepreneurs and publishes articles that encourage internationalization and innovative thinking for software startups.   Dr. Chien is a leading expert in Chinese information retrieval and natural language processing technology. He is a former Research Fellow and Deputy Director of the Institute of Information Science, Academia Sinica, and a co-appointed Professor of the Department of Information Management at National Taiwan University, where he earned a PhD in Computer Science in 1991.” (字串長度:987)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->5(字串長度:1)---->PANEL(字串長度:5)'),(5151,'2023-08-26 12:03:19',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5152,'2023-08-26 12:03:19',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5153,'2023-08-26 12:03:19',9,'name---->1(字串長度:1)---->劉思泰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1330(字串長度:9)---->(字串長度:0)```talk_title---->(字串長度:0)---->The Future of AI is on-device(字串長度:29)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->Qualcomm(字串長度:8)```position---->Special Session(字串長度:15)---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)```company2---->Special Session(字串長度:15)---->(字串長度:0)```me_desc---->9___1___1330-1330___0___Special Session______(字串長度:45)---->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。 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.  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。 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.   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。 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.   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。 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.   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。 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:2169)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->9(字串長度:1)---->AI(字串長度:2)'),(5154,'2023-08-26 12:03:19',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5155,'2023-08-26 12:03:19',12,'name---->1(字串長度:1)---->許大山(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Da-shan Shiu(字串長度:12)```talk_title---->吳偉壽(字串長度:9)---->Case Studies of Applying Generative AI Concepts to Low Resource Domains(字串長度:71)```talk_lang---->21(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->MediaTek Research(字串長度:17)```position----><b>吳偉壽 技術顧問 (NetApp)</b>(字串長度:38)---->Managing Director(字串長度:17)```company2----><b>吳偉壽 技術顧問 (NetApp)</b>(字串長度:38)---->(字串長度:0)```position2---->吳偉壽(字串長度:9)---->(字串長度:0)```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---->12___1___1330-1400___2___<b>吳偉壽 技術顧問 (NetApp)</b>___吳偉壽___21(字串長度:80)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->12(字串長度:2)---->AI(字串長度:2)'),(5156,'2023-08-26 12:03:19',13,'name---->1(字串長度:1)---->沈文冰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Wenping Shen(字串長度:12)```talk_title---->吳振和(字串長度:9)---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)```talk_lang---->27(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->TSMC(字串長度:4)```position----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)---->AI Application & Integration Division, Deputy Director (字串長度:55)```company2----><b>吳振和  技術副總 (cacaFly)</b>(字串長度:40)---->(字串長度:0)```position2---->吳振和(字串長度:9)---->(字串長度:0)```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---->13___1___1330-1400___3___<b>吳振和  技術副總 (cacaFly)</b>___吳振和___27(字串長度:82)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->13(字串長度:2)---->AI(字串長度:2)'),(5157,'2023-08-26 12:03:19',14,'name---->1(字串長度:1)---->Thomas Scialom(字串長度:14)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1400(字串長度:9)---->Thomas Scialom(字串長度:14)```talk_title---->(字串長度:0)---->Large Language Models, Generative AI and Scaling(字串長度:48)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Meta AI(字串長度:7)```position---->Training of Large Pre-trained Models(字串長度:36)---->Research Scientist (LLMs)(字串長度:25)```company2---->Training of Large Pre-trained Models(字串長度:36)---->(字串長度:0)```me_desc---->14___1___1400-1400___0___Training of Large Pre-trained Models______(字串長度:67)---->https://www.linkedin.com/in/tscialom/(字串長度:37)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```conf---->14(字串長度:2)---->AIK(字串長度:3)'),(5158,'2023-08-26 12:03:19',15,'name---->1(字串長度:1)---->王宗業(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1400(字串長度:9)---->Chungyeh Wang(字串長度:13)```talk_title---->(字串長度:0)---->Generative AI on Intel® Architecture(字串長度:37)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->1(字串長度:1)---->Intel(字串長度:5)```position---->Green Computing(字串長度:15)---->Platform Software Architect(字串長度:27)```company2---->Green Computing(字串長度:15)---->(字串長度:0)```me_desc---->15___1___1400-1400___1___Green Computing______(字串長度:46)---->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---->(字串長度:0)---->簡報15(字串長度:8)```conf---->15(字串長度:2)---->AI(字串長度:2)'),(5159,'2023-08-26 12:03:19',16,'name---->1(字串長度:1)---->李百飛(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1400(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->2(字串長度:1)---->Dell Technologies (字串長度:18)```position---->Diffusion Applications(字串長度:22)---->Technical VP(字串長度:12)```company2---->Diffusion Applications(字串長度:22)---->System Engineering(字串長度:18)```me_desc---->16___1___1400-1400___2___Diffusion Applications______(字串長度:53)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->16(字串長度:2)---->AI(字串長度:2)'),(5160,'2023-08-26 12:03:19',17,'name---->1(字串長度:1)---->陳贈文(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1400(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->3(字串長度:1)---->Super Micro Computer, Inc.(字串長度:26)```position---->Prompt Engineering(字串長度:18)---->Sr. Director of Solutions Architecture(字串長度:38)```company2---->Prompt Engineering(字串長度:18)---->(字串長度:0)```me_desc---->17___1___1400-1400___3___Prompt Engineering______(字串長度:49)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->17(字串長度:2)---->AI(字串長度:2)'),(5161,'2023-08-26 12:03:20',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5162,'2023-08-26 12:03:20',19,'name---->1(字串長度:1)---->沈仲杰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->JongJye Sheen(字串長度:13)```talk_title---->李百飛(字串長度:9)---->AMD Instinct GPU – 1.19 ExaFlops System and LLM(字串長度:49)```talk_lang---->16(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->AMD(字串長度:3)```position----><b>李百飛 技術副總經理 (Dell)</b>(字串長度:42)---->Sr. Market Development Manager(字串長度:30)```company2----><b>李百飛 技術副總經理 (Dell)</b>(字串長度:42)---->Data Center Accelerator BU(字串長度:26)```position2---->李百飛(字串長度:9)---->(字串長度:0)```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---->19___1___1400-1430___1___<b>李百飛 技術副總經理 (Dell)</b>___李百飛___16(字串長度:84)----> 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---->(字串長度:0)---->V(字串長度:1)```conf---->19(字串長度:2)---->AI(字串長度:2)'),(5163,'2023-08-26 12:03:20',20,'name---->1(字串長度:1)---->洪嘉明(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Chia-Ming Hung(字串長度:14)```talk_title---->李昕穎(字串長度:9)---->Designing Industry-Leading Energy-Efficient AI Chips(字串長度:52)```talk_lang---->22(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->NEUCHIPS(字串長度:8)```position----><b>李昕穎 資深研究科學家 (Snap)</b>(字串長度:45)---->R&D department, Manager(字串長度:23)```company2----><b>李昕穎 資深研究科學家 (Snap)</b>(字串長度:45)---->(字串長度:0)```position2---->李昕穎(字串長度:9)---->(字串長度:0)```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---->20___1___1400-1430___2___<b>李昕穎 資深研究科學家 (Snap)</b>___李昕穎___22(字串長度:87)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->20(字串長度:2)---->AI(字串長度:2)'),(5164,'2023-08-26 12:03:20',21,'name---->1(字串長度:1)---->吳偉壽(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Wayne Wu(字串長度:8)```talk_title---->孫弘岳(字串長度:9)---->Liberate Data Performance, Embrace a Highly Flexible and Intelligent Cloud.(字串長度:75)```talk_lang---->28(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->NetApp(字串長度:6)```position----><b>孫弘岳 副教授 (National Taiwan Normal University)</b>(字串長度:62)---->Solution Engineer(字串長度:17)```company2----><b>孫弘岳 副教授 (National Taiwan Normal University)</b>(字串長度:62)---->(字串長度:0)```position2---->孫弘岳(字串長度:9)---->(字串長度:0)```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---->21___1___1400-1430___3___<b>孫弘岳 副教授 (National Taiwan Normal University)</b>___孫弘岳___28(字串長度:104)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->21(字串長度:2)---->AI(字串長度:2)'),(5165,'2023-08-26 12:03:20',22,'name---->1(字串長度:1)---->李昕穎(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1430-1500(字串長度:9)---->Hsin-Ying Lee(字串長度:13)```talk_title---->吳漢章(字串長度:9)---->From 2D to 3D / From Image to Video(字串長度:35)```talk_lang---->11(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Snap Inc.(字串長度:9)```position----><b>吳漢章 總經理 (Taiwan Web Service)</b>(字串長度:47)---->Senior Research Scientist, Creative Vision Team, Snap Research(字串長度:62)```company2----><b>吳漢章 總經理 (Taiwan Web Service)</b>(字串長度:47)---->(字串長度:0)```position2---->吳漢章(字串長度:9)---->(字串長度:0)```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---->22___1___1430-1500___0___<b>吳漢章 總經理 (Taiwan Web Service)</b>___吳漢章___11(字串長度:89)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->22(字串長度:2)---->AI(字串長度:2)');
INSERT INTO `speakers_changelog` VALUES (5166,'2023-08-26 12:03:20',23,'name---->1(字串長度:1)---->邱浩修(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1430-1500(字串長度:9)---->Hao-Hsiu Chiu(字串長度:13)```talk_title---->陳贈文(字串長度:9)---->Creativity with Generative AI in the Design and Architecture Industry(字串長度:69)```talk_lang---->17(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->Tunghai Uiversity(字串長度:17)```position----><b>陳贈文 資深協理  (SuperMicro) </b>(字串長度:44)---->Department of Architecture, Associate Professor(字串長度:47)```company2----><b>陳贈文 資深協理  (SuperMicro) </b>(字串長度:44)---->(字串長度:0)```position2---->陳贈文(字串長度:9)---->(字串長度:0)```me_desc---->23___1___1430-1500___1___<b>陳贈文 資深協理  (SuperMicro) </b>___陳贈文___17(字串長度:86)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->23(字串長度:2)---->AI(字串長度:2)'),(5167,'2023-08-26 12:03:20',24,'name---->1(字串長度:1)---->鄭生懋(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1430-1500(字串長度:9)---->Thomas Cheng(字串長度:12)```talk_title---->邱浩修(字串長度:9)---->Challenges and Opportunities of Machine Tool Industry in Taiwan (字串長度:64)```talk_lang---->23(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->Victor Taichung (字串長度:16)```position----><b>邱浩修 副教授 (Tunghai University)</b>(字串長度:47)---->General Management Division / Manager(字串長度:37)```company2----><b>邱浩修 副教授 (Tunghai University)</b>(字串長度:47)---->(字串長度:0)```position2---->邱浩修(字串長度:9)---->(字串長度:0)```me_desc---->24___1___1430-1500___2___<b>邱浩修 副教授 (Tunghai University)</b>___邱浩修___23(字串長度:89)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->24(字串長度:2)---->AI(字串長度:2)'),(5168,'2023-08-26 12:03:20',25,'name---->1(字串長度:1)---->陳昱中(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1430-1500(字串長度:9)---->Yuchung Chen(字串長度:12)```talk_title---->李怡志(字串長度:9)---->The Practice Principles of Smart Manufacturing(字串長度:46)```talk_lang---->29(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->eCloudvalley Digital Technology(字串長度:31)```position----><b>李怡志 助理教授 (National Chengchi University)</b>(字串長度:60)---->TW Dept. Technical Director(字串長度:27)```company2----><b>李怡志 助理教授 (National Chengchi University)</b>(字串長度:60)---->(字串長度:0)```position2---->李怡志(字串長度:9)---->(字串長度:0)```me_desc---->25___1___1430-1500___3___<b>李怡志 助理教授 (National Chengchi University)</b>___李怡志___29(字串長度:102)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->25(字串長度:2)---->AI(字串長度:2)'),(5169,'2023-08-26 12:03:20',26,'name---->1(字串長度:1)---->趙新民(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1500-1530(字串長度:9)---->(字串長度:0)```talk_title---->(字串長度:0)---->A Sustainable and Smart Manufacturing for Productivity Improvement(字串長度:66)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->AUO Digitech(字串長度:12)```position---->☕ Coffee Break(字串長度:16)---->執行副總經理(字串長度:18)```company2---->☕ Coffee Break(字串長度:16)---->(字串長度:0)```me_desc---->26___1___1500-1530___0___☕ Coffee Break______(字串長度:47)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報26(字串長度:8)```conf---->26(字串長度:2)---->AI(字串長度:2)'),(5170,'2023-08-26 12:03:20',27,'name---->1(字串長度:1)---->吳振和(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1530(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->cacaFly(字串長度:7)```position---->Enterprise Applications:Fine-tuning Techniques(字串長度:46)---->VP of Technology(字串長度:16)```company2---->Enterprise Applications:Fine-tuning Techniques(字串長度:46)---->(字串長度:0)```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---->27___1___1530-1530___0___Enterprise Applications:Fine-tuning Techniques______(字串長度:77)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->27(字串長度:2)---->AI(字串長度:2)'),(5171,'2023-08-26 12:03:20',28,'name---->1(字串長度:1)---->孫弘岳(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1530(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->National Taiwan Normal University(字串長度:33)```position---->Chips for AI(字串長度:12)---->echnology Application And Human Resource Development / Distinguished Associate Professor(字串長度:88)```company2---->Chips for AI(字串長度:12)---->(字串長度:0)```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---->28___1___1530-1530___1___Chips for AI______(字串長度:43)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->28(字串長度:2)---->AI(字串長度:2)'),(5172,'2023-08-26 12:03:20',29,'name---->1(字串長度:1)---->李怡志(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1530(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->National Chengchi University(字串長度:28)```position---->Smart Manufacturing(字串長度:19)---->Assistant Prof., Dept. of Journalism(字串長度:36)```company2---->Smart Manufacturing(字串長度:19)---->(字串長度:0)```me_desc---->29___1___1530-1530___2___Smart Manufacturing______(字串長度:50)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->29(字串長度:2)---->AI(字串長度:2)'),(5173,'2023-08-26 12:03:20',30,'name---->1(字串長度:1)---->許凱程(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1530(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->China Medical University Hospital(字串長度:33)```position---->Intelligent Services(字串長度:20)---->Artificial Intelligence Center / Director(字串長度:41)```company2---->Intelligent Services(字串長度:20)---->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---->30___1___1530-1530___3___Intelligent Services______(字串長度:51)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->30(字串長度:2)---->AI(字串長度:2)'),(5174,'2023-08-26 12:03:20',31,'name---->1(字串長度:1)---->王俊權(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1600(字串長度:9)---->Friedman Wang(字串長度:13)```talk_title---->許大山(字串長度:9)---->The Current State and Future Prospects of AI-Enabled Financial Services(字串長度:71)```talk_lang---->12(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Data Intelligence R&D Division(字串長度:30)```position----><b>許大山 創新基地總監 (MediaTek)</b>(字串長度:46)---->Executive Vice President(字串長度:24)```company2----><b>許大山 創新基地總監 (MediaTek)</b>(字串長度:46)---->(字串長度:0)```position2---->許大山(字串長度:9)---->(字串長度:0)```me_desc---->31___1___1530-1600___0___<b>許大山 創新基地總監 (MediaTek)</b>___許大山___12(字串長度:88)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```conf---->31(字串長度:2)---->AI(字串長度:2)'),(5175,'2023-08-26 12:03:20',32,'name---->1(字串長度:1)---->胡德民(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1600(字串長度:9)---->Peter Hu(字串長度:8)```talk_title---->康勝閔(字串長度:9)---->Opportunities and Methods for Accelerating Enterprise Digital Transformation through Generative AI\r (字串長度:100)```talk_lang---->18(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->1(字串長度:1)---->FarEasTone Telecom(字串長度:18)```position----><b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>(字串長度:57)---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)```company2----><b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>(字串長度:57)---->(字串長度:0)```position2---->康勝閔(字串長度:9)---->(字串長度:0)```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---->32___1___1530-1600___1___<b>康勝閔 資深解決方案架構協理 (NVIDIA )</b>___康勝閔___18(字串長度:99)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->32(字串長度:2)---->AI(字串長度:2)'),(5176,'2023-08-26 12:03:20',33,'name---->1(字串長度:1)---->侯宜秀(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1600(字串長度:9)---->Isabel Hou(字串長度:10)```talk_title---->鄭生懋(字串長度:9)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```talk_lang---->24(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->Taiwan AI Academy Foundation(字串長度:28)```position----><b>鄭生懋 經理 (VICTOR TAICHUNG)</b>(字串長度:41)---->Secretary General(字串長度:17)```company2----><b>鄭生懋 經理 (VICTOR TAICHUNG)</b>(字串長度:41)---->(字串長度:0)```position2---->鄭生懋(字串長度:9)---->(字串長度:0)```me_desc---->33___1___1530-1600___2___<b>鄭生懋 經理 (VICTOR TAICHUNG)</b>___鄭生懋___24(字串長度:83)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報33(字串長度:8)```conf---->33(字串長度:2)---->PANEL(字串長度:5)'),(5177,'2023-08-26 12:03:20',34,'name---->1(字串長度:1)---->唐鳳(字串長度:6)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1530-1600(字串長度:9)---->TANG Feng (Audrey TANG)(字串長度:23)```talk_title---->許凱程(字串長度:9)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```talk_lang---->30(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->3(字串長度:1)---->Ministry of Digital Affairs(字串長度:27)```position----><b>許凱程 主任 (China Medical University Hospital)</b>(字串長度:59)---->Minister(字串長度:8)```company2----><b>許凱程 主任 (China Medical University Hospital)</b>(字串長度:59)---->(字串長度:0)```position2---->許凱程(字串長度:9)---->(字串長度:0)```me_desc---->34___1___1530-1600___3___<b>許凱程 主任 (China Medical University Hospital)</b>___許凱程___30(字串長度:101)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報34(字串長度:8)```conf---->34(字串長度:2)---->PANEL(字串長度:5)'),(5178,'2023-08-26 12:03:20',35,'name---->1(字串長度:1)---->蔡志宏(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1600-1630(字串長度:9)---->Zsehong Tsai(字串長度:12)```talk_title---->沈文冰(字串長度:9)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```talk_lang---->13(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->National Taiwan University(NTU)(字串長度:31)```position----><b>沈文冰 智慧應用整合處副處長 (TSMC)</b>(字串長度:54)---->Professor(字串長度:9)```company2----><b>沈文冰 智慧應用整合處副處長 (TSMC)</b>(字串長度:54)---->Science & Technology Policy Advisory Office, NSTC(字串長度:49)```position2---->沈文冰(字串長度:9)---->(字串長度:0)```me_desc---->35___1___1600-1630___0___<b>沈文冰 智慧應用整合處副處長 (TSMC)</b>___沈文冰___13(字串長度:96)---->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)```talkfile_link---->(字串長度:0)---->簡報35(字串長度:8)```conf---->35(字串長度:2)---->PANEL(字串長度:5)'),(5179,'2023-08-26 12:03:20',36,'name---->1(字串長度:1)---->林明仁(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1600-1630(字串長度:9)---->(字串長度:0)```talk_title---->沈仲杰(字串長度:9)---->共創以人為本的 AI 治理框架與路徑(字串長度:46)```talk_lang---->19(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->1(字串長度:1)---->National Taiwan University(NTU)(字串長度:31)```position----><b>沈仲杰  資深經理 (AMD)</b>(字串長度:36)---->特聘教授(字串長度:12)```company2----><b>沈仲杰  資深經理 (AMD)</b>(字串長度:36)---->(字串長度:0)```position2---->沈仲杰(字串長度:9)---->(字串長度:0)```me_desc---->36___1___1600-1630___1___<b>沈仲杰  資深經理 (AMD)</b>___沈仲杰___19(字串長度:78)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報36(字串長度:8)```conf---->36(字串長度:2)---->PANEL(字串長度:5)'),(5180,'2023-08-26 12:03:20',37,'name---->1(字串長度:1)---->陸忠立(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1600-1630(字串長度:9)---->Allen Lu(字串長度:8)```talk_title---->陳昱中(字串長度:9)---->Mobile AI Evolution – Trend and Challenge(字串長度:43)```talk_lang---->25(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->Mediatek(字串長度:8)```position----><b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>(字串長度:72)---->Senior Director (字串長度:16)```company2----><b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>(字串長度:72)---->Compute and Artificial Intelligence Department (字串長度:47)```position2---->陳昱中(字串長度:9)---->(字串長度:0)```me_desc---->37___1___1600-1630___2___<b>陳昱中 台灣區技術總監 (eCloudvalley Digital Technology)</b>___陳昱中___25(字串長度:114)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->37(字串長度:2)---->AIK(字串長度:3)'),(5181,'2023-08-26 12:03:20',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5182,'2023-08-26 12:03:20',40,'name---->1(字串長度:1)---->楊佳玲(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1630-1715(字串長度:9)---->Chia-Lin Yang(字串長度:13)```talk_title---->洪嘉明(字串長度:9)---->Memory-centric Design in the AI Era(字串長度:35)```talk_lang---->20(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->1(字串長度:1)---->National Taiwan University(字串長度:26)```position----><b>洪嘉明 經理 (NEUCHIPS)</b>(字串長度:34)---->Dept. of Computer Science and Information Engineering, Professor(字串長度:64)```company2----><b>洪嘉明 經理 (NEUCHIPS)</b>(字串長度:34)---->(字串長度:0)```position2---->洪嘉明(字串長度:9)---->(字串長度:0)```me_desc---->40___1___1630-1715___1___<b>洪嘉明 經理 (NEUCHIPS)</b>___洪嘉明___20(字串長度:76)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->40(字串長度:2)---->AI(字串長度:2)'),(5183,'2023-08-26 12:03:20',41,'name---->1(字串長度:1)---->陳佩君(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1630-1715(字串長度:9)---->(字串長度:0)```talk_title---->趙新民(字串長度:9)---->(字串長度:0)```talk_lang---->26(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->2(字串長度:1)---->Microsoft Taiwan(字串長度:16)```position----><b>趙新民 執行副總經理 (AUO Digitech) </b>(字串長度:51)---->人工智慧研發中心技術長(字串長度:33)```company2----><b>趙新民 執行副總經理 (AUO Digitech) </b>(字串長度:51)---->(字串長度:0)```position2---->趙新民(字串長度:9)---->(字串長度:0)```me_desc---->41___1___1630-1715___2___<b>趙新民 執行副總經理 (AUO Digitech) </b>___趙新民___26(字串長度:93)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->41(字串長度:2)---->AI(字串長度:2)'),(5184,'2023-08-26 12:03:20',42,'name---->1(字串長度:1)---->簡宏偉(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1630-1715(字串長度:9)---->Howard Jyan(字串長度:11)```talk_title---->胡德民(字串長度:9)---->Establish of Trustworthy AI: Opportunities and Challengs(字串長度:56)```talk_lang---->32(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->Deloitte & Touche(字串長度:17)```position----><b>胡德民 執行副總經理 (FET Telecommunications)</b>(字串長度:60)---->Partner, Risk Advisory(字串長度:22)```company2----><b>胡德民 執行副總經理 (FET Telecommunications)</b>(字串長度:60)---->(字串長度:0)```position2---->胡德民(字串長度:9)---->(字串長度:0)```me_desc---->42___1___1630-1715___3___<b>胡德民 執行副總經理 (FET Telecommunications)</b>___胡德民___32(字串長度:102)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->42(字串長度:2)---->AI(字串長度:2)'),(5185,'2023-08-26 12:03:20',43,'name---->2(字串長度:1)---->劉嘉凱(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->0830-0900(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->DSP, Inc.(字串長度:9)```position---->Registration(字串長度:12)---->CEO(字串長度:3)```company2---->Registration(字串長度:12)---->(字串長度:0)```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---->43___2___0830-0900___0___Registration______(字串長度:43)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->43(字串長度:2)---->AI(字串長度:2)'),(5186,'2023-08-26 12:03:20',47,'name---->2(字串長度:1)---->趙佑錫(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1030(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Cadence Design Systems(字串長度:22)```position---->Leading-edge Tech(字串長度:17)---->Sr Software Architect (字串長度:22)```company2---->Leading-edge Tech(字串長度:17)---->ML INFRA(字串長度:8)```me_desc---->47___2___1030-1030___0___Leading-edge Tech______(字串長度:48)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->47(字串長度:2)---->AI(字串長度:2)'),(5187,'2023-08-26 12:03:20',48,'name---->2(字串長度:1)---->唐文力(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1030(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->Skymizer(字串長度:8)```position---->AI for Chips(字串長度:12)---->CEO(字串長度:3)```company2---->AI for Chips(字串長度:12)---->(字串長度:0)```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---->48___2___1030-1030___1___AI for Chips______(字串長度:43)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->48(字串長度:2)---->AI(字串長度:2)'),(5188,'2023-08-26 12:03:20',49,'name---->2(字串長度:1)---->邱銘彰(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1030(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->CyCraft(字串長度:7)```position---->Language-Defined Virtual Assistants(字串長度:35)---->Founder(字串長度:7)```company2---->Language-Defined Virtual Assistants(字串長度:35)---->(字串長度:0)```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---->49___2___1030-1030___2___Language-Defined Virtual Assistants______(字串長度:66)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->49(字串長度:2)---->AI(字串長度:2)'),(5189,'2023-08-26 12:03:20',50,'name---->2(字串長度:1)---->黃俊穎(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1030(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->National Yang Ming Chiao Tung University(字串長度:40)```position---->AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>(字串長度:124)---->Institute of Network Engineering / Director(字串長度:43)```company2---->AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>(字串長度:124)---->(字串長度:0)```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---->50___2___1030-1030___3___AI on Education<br><span class=\"purple\" style=\"letter-spacing:-0.3px;\">【生成式 AI 對教育的影響與因應】</span>______(字串長度:155)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->50(字串長度:2)---->AI(字串長度:2)'),(5190,'2023-08-26 12:03:20',53,'name---->2(字串長度:1)---->李彥樞(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1100(字串長度:9)---->YAN LEE(字串長度:7)```talk_title---->李彥樞(字串長度:9)---->Investment Trends in Generative AI(字串長度:34)```talk_lang---->53(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->HIVE VENTURES(字串長度:13)```position----><b>李彥樞 創辦人 (Hive Ventures) </b>(字串長度:43)---->Founder and Managing Partner(字串長度:28)```company2----><b>李彥樞 創辦人 (Hive Ventures) </b>(字串長度:43)---->(字串長度:0)```position2---->李彥樞(字串長度:9)---->(字串長度:0)```me_desc---->53___2___1030-1100___2___<b>李彥樞 創辦人 (Hive Ventures) </b>___李彥樞___53(字串長度:85)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->53(字串長度:2)---->AI(字串長度:2)'),(5191,'2023-08-26 12:03:20',54,'name---->2(字串長度:1)---->張榮貴(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1030-1100(字串長度:9)---->James Chang(字串長度:11)```talk_title---->林穎俊(字串長度:9)---->Redefining Customer Service in the Generative AI Era(字串長度:52)```talk_lang---->60(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->AI3 Co.(字串長度:7)```position----><b>林穎俊 老師 (Jhongshan Elementary School)</b>(字串長度:53)---->Chaiman(字串長度:7)```company2----><b>林穎俊 老師 (Jhongshan Elementary School)</b>(字串長度:53)---->(字串長度:0)```position2---->林穎俊(字串長度:9)---->(字串長度:0)```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---->54___2___1030-1100___3___<b>林穎俊 老師 (Jhongshan Elementary School)</b>___林穎俊___60(字串長度:95)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->54(字串長度:2)---->AI(字串長度:2)'),(5192,'2023-08-26 12:03:20',55,'name---->2(字串長度:1)---->何建幟(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1100-1130(字串長度:9)---->Ernie Ho(字串長度:8)```talk_title---->楊佳玲(字串長度:9)---->The Rise of AI Agents: A Virtual Workforce Available 24/7(字串長度:57)```talk_lang---->40(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->HelperAI & Chainsight(字串長度:21)```position----><b>楊佳玲 教授 (National Taiwan University)</b>(字串長度:52)---->Cofounder & CEO(字串長度:15)```company2----><b>楊佳玲 教授 (National Taiwan University)</b>(字串長度:52)---->(字串長度:0)```position2---->楊佳玲(字串長度:9)---->(字串長度:0)```me_desc---->55___2___1100-1130___0___<b>楊佳玲 教授 (National Taiwan University)</b>___楊佳玲___40(字串長度:94)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->55(字串長度:2)---->AI(字串長度:2)'),(5193,'2023-08-26 12:03:20',56,'name---->2(字串長度:1)---->郭昶甫(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1100-1130(字串長度:9)---->Kuo,Chang-Fu(字串長度:12)```talk_title---->趙佑錫(字串長度:9)---->The Role of Artificial Intelligence in Clinical Decision-making(字串長度:63)```talk_lang---->47(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->Chang Gung Memorial Hospital, Linkou(字串長度:36)```position----><b>趙佑錫 資深架構師 (Cadence)</b>(字串長度:42)---->Center for Artificial Intelligence in Medicine,Director(字串長度:55)```company2----><b>趙佑錫 資深架構師 (Cadence)</b>(字串長度:42)---->(字串長度:0)```position2---->趙佑錫(字串長度:9)---->(字串長度:0)```me_desc---->56___2___1100-1130___1___<b>趙佑錫 資深架構師 (Cadence)</b>___趙佑錫___47(字串長度:84)---->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---->(字串長度:0)---->x(字串長度:1)```conf---->56(字串長度:2)---->AI(字串長度:2)'),(5194,'2023-08-26 12:03:20',57,'name---->2(字串長度:1)---->張詠淳(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1100-1130(字串長度:9)---->Yung-Chun Chang(字串長度:15)```talk_title---->張榮貴(字串長度:9)---->The Future is Here - Unlocking the Potential of Clinical Data with NLP(字串長度:70)```talk_lang---->54(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->Graduate Institute of Data Science, Taipei Medical University(字串長度:61)```position----><b>張榮貴 董事長 (Ai3)</b>(字串長度:32)---->Associate Professor(字串長度:19)```company2----><b>張榮貴 董事長 (Ai3)</b>(字串長度:32)---->Office of Data Science, Taipei Medical University(字串長度:49)```position2---->張榮貴(字串長度:9)---->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---->57___2___1100-1130___2___<b>張榮貴 董事長 (Ai3)</b>___張榮貴___54(字串長度:74)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->57(字串長度:2)---->AI(字串長度:2)'),(5195,'2023-08-26 12:03:20',60,'name---->2(字串長度:1)---->林穎俊(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1130-1200(字串長度:9)---->LIN YING-CHUN(字串長度:13)```talk_title---->唐文力(字串長度:9)---->Applying AI in the Classroom (字串長度:29)```talk_lang---->48(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->Jhong Shan Elementary School of Yilan County(字串長度:44)```position----><b>唐文力 創辦人 (Skymizer)</b>(字串長度:37)---->Section Chief of Information Technology(字串長度:39)```company2----><b>唐文力 創辦人 (Skymizer)</b>(字串長度:37)---->(字串長度:0)```position2---->唐文力(字串長度:9)---->(字串長度:0)```me_desc---->60___2___1130-1200___1___<b>唐文力 創辦人 (Skymizer)</b>___唐文力___48(字串長度:79)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->60(字串長度:2)---->AI(字串長度:2)'),(5196,'2023-08-26 12:03:20',61,'name---->2(字串長度:1)---->李海碩(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1130-1200(字串長度:9)---->Lee Haishuo(字串長度:11)```talk_title---->何建幟(字串長度:9)---->Future-Proofing Humanity: Strategies for Thriving in an AI-Dominated Epoch(字串長度:74)```talk_lang---->55(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->2(字串長度:1)---->Wagor International School(字串長度:26)```position----><b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>(字串長度:52)---->Superintendent(字串長度:14)```company2----><b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>(字串長度:52)---->1111 AIGC Innovative Academy(字串長度:28)```position2---->何建幟(字串長度:9)---->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---->61___2___1130-1200___2___<b>何建幟 創辦人 (Chainsight ＆ HelperAI)</b>___何建幟___55(字串長度:94)---->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---->(字串長度:0)---->V(字串長度:1)```conf---->61(字串長度:2)---->AI(字串長度:2)'),(5197,'2023-08-26 12:03:20',62,'name---->2(字串長度:1)---->巫勇賢(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1130-1200(字串長度:9)---->Yung-Hsien Wu(字串長度:13)```talk_title---->巫勇賢(字串長度:9)---->Impact of Generative Artificial Intelligence on Higher Education(字串長度:64)```talk_lang---->62(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->National Tsing Hua University(字串長度:29)```position----><b>巫勇賢 教務長 (National Tsing Hua University)</b>(字串長度:58)---->Office of Academic Affairs/Vice President for Academic Affairs(字串長度:62)```company2----><b>巫勇賢 教務長 (National Tsing Hua University)</b>(字串長度:58)---->(字串長度:0)```position2---->巫勇賢(字串長度:9)---->(字串長度:0)```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---->62___2___1130-1200___3___<b>巫勇賢 教務長 (National Tsing Hua University)</b>___巫勇賢___62(字串長度:100)---->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---->(字串長度:0)---->X(字串長度:1)```conf---->62(字串長度:2)---->AI(字串長度:2)'),(5198,'2023-08-26 12:03:21',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5199,'2023-08-26 12:03:21',64,'name---->2(字串長度:1)---->陳舜伶(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1330(字串長度:9)---->Shun-Ling Chen(字串長度:14)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->中央研究院法律學研究所(字串長度:33)```position---->Trustworthy AI(字串長度:14)---->副研究員(字串長度:12)```company2---->Trustworthy AI(字串長度:14)---->中央研究院法律學研究所資訊法中心副主任(字串長度:57)```me_desc---->64___2___1330-1330___0___Trustworthy AI______(字串長度:45)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報64(字串長度:8)```conf---->64(字串長度:2)---->AI(字串長度:2)'),(5200,'2023-08-26 12:03:21',67,'name---->2(字串長度:1)---->張嘉淵(字串長度:9)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1330(字串長度:9)---->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)```talk_lang---->(字串長度:0)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->3(字串長度:1)---->Quanta Computer(字串長度:15)```position---->AI & Humanity(字串長度:13)---->CTO(字串長度:3)```company2---->AI & Humanity(字串長度:13)---->(字串長度:0)```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---->67___2___1330-1330___3___AI & Humanity______(字串長度:44)---->\"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:2605)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```conf---->67(字串長度:2)---->AIK(字串長度:3)'),(5201,'2023-08-26 12:03:21',68,'name---->2(字串長度:1)---->蔡明順(字串長度:9)```hide---->0(字串長度:1)---->1\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Richie Tsai(字串長度:11)```talk_title---->簡宏偉(字串長度:9)---->人才破繭生成未來：AIA 人才能力認證計畫(字串長度:55)```talk_lang---->42(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->0(字串長度:1)---->Taiwan AI Academy(字串長度:17)```position----><b>簡宏偉 執行副總經理 (Deloitte)</b>(字串長度:46)---->Provost(字串長度:7)```company2----><b>簡宏偉 執行副總經理 (Deloitte)</b>(字串長度:46)---->(字串長度:0)```position2---->簡宏偉(字串長度:9)---->(字串長度:0)```me_desc---->68___2___1330-1400___0___<b>簡宏偉 執行副總經理 (Deloitte)</b>___簡宏偉___42(字串長度:88)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```conf---->68(字串長度:2)---->HOST(字串長度:4)'),(5202,'2023-08-26 12:03:21',69,'name---->2(字串長度:1)---->Lawrence Lessig(字串長度:15)```hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Lester Lawrence Lessig(字串長度:22)```talk_title---->邱銘彰(字串長度:9)---->AI and the Law(字串長度:14)```talk_lang---->49(字串長度:2)---->英文(字串長度:6)```can_playback---->(字串長度:0)---->yes(字串長度:3)```company---->1(字串長度:1)---->Harvard University(字串長度:18)```position----><b>邱銘彰 創辦人 (CyCraft Technology)</b>(字串長度:47)---->Law School(字串長度:10)```company2----><b>邱銘彰 創辦人 (CyCraft Technology)</b>(字串長度:47)---->(字串長度:0)```position2---->邱銘彰(字串長度:9)---->(字串長度:0)```me_desc---->69___2___1330-1400___1___<b>邱銘彰 創辦人 (CyCraft Technology)</b>___邱銘彰___49(字串長度:89)---->About Lessig About Lessig 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.  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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.  Because of the SwiFT work, Dr. Huang was a recipient of Lucent Commemorating Stock Certificate and Computerworld Smithsonian Award in 1998 on the SwiFT technology.  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 of the organization to ensure the high dependability of all AT&T services.  Dr. Huang became the VP of Engineering of PreCache Inc, a Sony subsidiary,  in 2001 to create a multi-media content delivery platform. In late 2004,  Dr. Huang returned to AT&T and became the Executive Director of Dependable Distributed Computing and Communication Research Department to lead AT&T Digital Content Management and IPTV research programs. In 2007, Dr. Huang became the Executive Vice President of Institute for Information Industry, a government funded R&D organization with more than 1800 employees.  From 2008 to 2011,  Dr. Huang was the President of VeeTIME Co. to build quadruple-play telecom services including cable TV, FTTx, NGN and 4G Wimax using an all-IP network in central and south Taiwan.  With his leadership in R&D and in management, VeeTIME service availability was improved from 95% to 99.96% in a year.  Dr. Huang has more than 20 US patents awarded and more than 100 papers published in well-known journals and conferences.    His 1995 Software rejuvenation paper created software fault avoidance and prevention research area and was awarded Jean-Claude Laprie Award in 2019. Dr. Huang was the Deputy Executive Secretary of Science and Technology Advisory Group of Executive Yuan,  helping Premier of Executive Yuan in Taiwan on the Information and Communication Technology (ICT) development policy and funding allocation between 2010 and 2015.  Dr. Huang is an IEEE Fellow. (字串長度:2146)---->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. 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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:1437)---->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)'),(5269,'2023-08-26 21:54:00',4,'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)```position---->Distinguished Scientist & Research Lead(字串長度:39)---->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   Abstract:  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:2901)```me_desc---->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 >660 product improvements since 2013. \r \r 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:1237)---->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)```website---->https://sites.google.com/view/edchi/home(字串長度:40)---->https://Edchi.net(字串長度:17)'),(5270,'2023-08-26 21:54:00',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5271,'2023-08-26 21:54:00',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5272,'2023-08-26 21:54:00',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)```position---->研究員(字串長度:9)---->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)```website---->(字串長度:0)---->https://www.citi.sinica.edu.tw/pages/yuh-jye/contact_en.html(字串長度:60)'),(5273,'2023-08-26 21:54:00',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)```company---->Qualcomm(字串長度:8)---->Qualcomm Technologies(字串長度:21)```position---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)---->President, Taiwan & SEA\r Australia, New Zealand\r Vice President(字串長度:63)'),(5274,'2023-08-26 21:54:00',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)```website---->(字串長度:0)---->https://tws.twcc.ai/team/(字串長度:25)'),(5275,'2023-08-26 21:54:00',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5276,'2023-08-26 21:54:00',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5277,'2023-08-26 21:54:00',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5278,'2023-08-26 21:54:00',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5279,'2023-08-26 21:54:00',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5280,'2023-08-26 21:54:00',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5281,'2023-08-26 21:54:00',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5282,'2023-08-26 21:54:00',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5283,'2023-08-26 21:54:00',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5284,'2023-08-26 21:54:00',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5285,'2023-08-26 21:54:00',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5286,'2023-08-26 21:54:00',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5287,'2023-08-26 21:54:00',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5288,'2023-08-26 21:54:00',26,'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---->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)```position---->執行副總經理(字串長度:18)---->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)'),(5289,'2023-08-26 21:54:00',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5290,'2023-08-26 21:54:00',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5291,'2023-08-26 21:54:00',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5292,'2023-08-26 21:54:00',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5293,'2023-08-26 21:54:00',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5294,'2023-08-26 21:54:00',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5295,'2023-08-26 21:54:00',33,'hide---->0(字串長度:1)---->0\r(字串長度:2)```me_desc---->(字串長度:0)---->Isabel Hou is a seasoned attorney focusing on technological innovation and intellectual property law and has served as a legal counsel for various government programs, prestigious companies, and NGOs in Taiwan since 2000. Isabel serves as a committee member of Taiwan’s Open Parliament Multi-stakeholder Forum from 2019-2022.  律師，專注於創新科技、開放資料、開放政府等數位治理議題及相關法律規範。2012 年以來持續參與 g0v 公民科技社群，從中習得「揪團打怪」技能：多方協作推動社會創新。 2017 年協助設立台灣人工智慧學校基金會，2021 年起擔任秘書長，推動課程轉型及開源 AI 平台「風火輪計畫」。 2020-2022 年擔任立法院開放國會委員會民間委員，推動完成台灣立法院首份「開放國會行動方案」。近來與台灣公民社群夥伴協作推動「數位公民素養」行動計畫作為台灣新世代社會基礎建設。(字串長度:959)```website---->(字串長度:0)---->https://en.aiacademy.tw/key-executives/(字串長度:39)'),(5296,'2023-08-26 21:54:00',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)```website---->(字串長度:0)---->https://moda.gov.tw/en/aboutus/principal-officers/minister-tang/991(字串長度:67)'),(5297,'2023-08-26 21:54:00',35,'hide---->0(字串長度:1)---->0\r(字串長度:2)```company---->National Taiwan University(NTU)(字串長度:31)---->National Taiwan University (NTU)(字串長度:32)'),(5298,'2023-08-26 21:54:00',36,'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)```company---->National Taiwan University(NTU)(字串長度:31)---->National Taiwan University (NTU)(字串長度:32)```position---->特聘教授(字串長度:12)---->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)```website---->(字串長度:0)---->https://economicsatntu.wixsite.com/ming-jen-lin(字串長度:47)'),(5299,'2023-08-26 21:54:00',37,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5300,'2023-08-26 21:54:00',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)```company---->台灣大學(字串長度:12)---->National Taiwan University (NTU)(字串長度:32)```position---->電機工程學系副教授(字串長度:27)---->Associate Professor, Department of Electrical Engineering(字串長度:57)```website---->(字串長度:0)---->https://www.ee.ntu.edu.tw/profile1.php?teacher_id=901182&p=3(字串長度:60)'),(5301,'2023-08-26 21:54:00',40,'hide---->0(字串長度:1)---->0\r(字串長度:2)```company---->National Taiwan University(字串長度:26)---->National Taiwan University (NTU)(字串長度:32)```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)```website---->(字串長度:0)---->https://www.csie.ntu.edu.tw/~yangc/(字串長度:35)'),(5302,'2023-08-26 21:54:00',41,'hide---->0(字串長度:1)---->0\r(字串長度:2)```position---->人工智慧研發中心技術長(字串長度:33)---->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, AI Research Center at Microsoft, her research focuses on computer vision, multimodal large language models, health AI and human-centered AI. Trista’s expertise is internationally recognized with over 30 published top journal and conference publications, 110 patents (issued and pending), and a world championship win in the prestigious USAID Intelligent Forecasting Competition. Prior to joining Microsoft, Trista held leadership positions at Inventec, Intel and Nvidia and successfully led two startups from incubation to acquisition. As Chief AI Officer at Inventec, she spearheaded the team’s efforts to obtain an ISO-13485-based quality management certificate for their novel AI Software as a Medical Device (SaMD) based on her original research. She also led the development of successful AI defect detection and logistic solutions in real-world production line that has an annual revenue of 16B USD. 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 their first video processor. Trista holds a Ph.D. from Carnegie Mellon University and an M.S. and B.S. from National Tsing-Hua University.  Skills: * Leadership Skills: strategic planning, cross-functional team management, multinational team hiring and mentoring, tech competitive analysis, product and project management. * Specialties: computer vision, medical AI, machine learning, multimodal foundation models(字串長度:1572)```website---->(字串長度:0)---->https://tw.linkedin.com/in/tristachen?original_referer=https%3A%2F%2Fwww.google.com%2F(字串長度:86)'),(5303,'2023-08-26 21:54:00',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5304,'2023-08-26 21:54:00',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5305,'2023-08-26 21:54:01',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5306,'2023-08-26 21:54:01',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5307,'2023-08-26 21:54:01',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5308,'2023-08-26 21:54:01',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5309,'2023-08-26 21:54:01',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5310,'2023-08-26 21:54:01',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5311,'2023-08-26 21:54:01',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5312,'2023-08-26 21:54:01',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5313,'2023-08-26 21:54:01',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5314,'2023-08-26 21:54:01',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5315,'2023-08-26 21:54:01',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5316,'2023-08-26 21:54:01',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5317,'2023-08-26 21:54:01',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5318,'2023-08-26 21:54:01',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)```company---->中央研究院法律學研究所(字串長度:33)---->Academia Sinica(字串長度:15)```position---->副研究員(字串長度:12)---->Associate Research Professor, Institutum Iurisprudentiae(字串長度:56)```company2---->中央研究院法律學研究所資訊法中心副主任(字串長度:57)---->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)```website---->(字串長度:0)---->https://www.iias.sinica.edu.tw/en/member_post/16?class=12(字串長度:57)'),(5319,'2023-08-26 21:54:01',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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:2605)---->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)'),(5320,'2023-08-26 21:54:01',68,'hide---->0(字串長度:1)---->1\r(字串長度:2)```talk_title---->人才破繭生成未來：AIA 人才能力認證計畫(字串長度:55)---->人才破繭生成未來：AIA人才能力認證計畫(字串長度:54)```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)```website---->(字串長度:0)---->https://en.aiacademy.tw/key-executives/(字串長度:39)'),(5321,'2023-08-26 21:54:01',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)```me_desc---->About Lessig About Lessig 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.https://lessig.org/about/(字串長度:1141)---->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)'),(5322,'2023-08-26 21:54:01',70,'name---->2(字串長度:1)---->蔡宗翰(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Richard Tzong-Han Tsai(字串長度:22)```talk_title---->郭昶甫(字串長度:9)---->(字串長度:0)```talk_lang---->56(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->2(字串長度:1)---->Academia Sinica(字串長度:15)```position----><b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>(字串長度:83)---->Research Fellow (Professor)(字串長度:27)```company2----><b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>(字串長度:83)---->蔡宗翰 研究員 (Academia Sinica)(字串長度:37)```position2---->郭昶甫(字串長度:9)---->(字串長度:0)```me_desc---->70___2___1330-1400___2___<b>郭昶甫 人工智能核心實驗室主任 (Chang Gung Memorial Hospital)  </b>___郭昶甫___56(字串長度:125)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報70(字串長度:8)```conf---->70(字串長度:2)---->HOST(字串長度:4)'),(5323,'2023-08-26 21:54:01',71,'name---->2(字串長度:1)---->張順教(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1330-1400(字串長度:9)---->Shun-Chiao Chang(字串長度:16)```talk_title---->林勤富(字串長度:9)---->(字串長度:0)```talk_lang---->63(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->3(字串長度:1)---->National Taiwan University of Science and Technology(字串長度:52)```position----><b>林勤富 教授 (National Tsing Hua University) </b>(字串長度:56)---->Professor, Dept. of Business Administration(字串長度:43)```company2----><b>林勤富 教授 (National Tsing Hua University) </b>(字串長度:56)---->張順教 教授 (Taiwan Tech University)(字串長度:41)```position2---->林勤富(字串長度:9)---->(字串長度:0)```me_desc---->71___2___1330-1400___3___<b>林勤富 教授 (National Tsing Hua University) </b>___林勤富___63(字串長度:98)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報71(字串長度:8)```conf---->71(字串長度:2)---->HOST(字串長度:4)'),(5324,'2023-08-26 21:54:01',72,'name---->2(字串長度:1)---->楊朝棟(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Chao-Tung Yang(字串長度:14)```talk_title---->劉嘉凱(字串長度:9)---->(字串長度:0)```talk_lang---->43(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->Tunghai University(字串長度:18)```position----><b>劉嘉凱 執行長 (DSP)</b>(字串長度:32)---->Lifetime Distinguished Professor, Dept. of Computer Science(字串長度:59)```company2----><b>劉嘉凱 執行長 (DSP)</b>(字串長度:32)---->楊朝棟 教授 (Tunghai University)(字串長度:37)```position2---->劉嘉凱(字串長度:9)---->(字串長度:0)```me_desc---->72___2___1400-1430___0___<b>劉嘉凱 執行長 (DSP)</b>___劉嘉凱___43(字串長度:74)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報72(字串長度:8)```conf---->72(字串長度:2)---->HOST(字串長度:4)'),(5325,'2023-08-26 21:54:01',73,'name---->2(字串長度:1)---->邱銘傳(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Chiu, Ming-Chuan(字串長度:16)```talk_title---->黃俊穎(字串長度:9)---->(字串長度:0)```talk_lang---->50(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->1(字串長度:1)---->National Tsing Hua University(字串長度:29)```position----><b>黃俊穎 教授 (NYCU)</b>(字串長度:30)---->Professor, Dept. Industrial Engineering and Engineering Management(字串長度:66)```company2----><b>黃俊穎 教授 (NYCU)</b>(字串長度:30)---->邱銘傳 教授 (National Tsing Hua University)(字串長度:48)```position2---->黃俊穎(字串長度:9)---->(字串長度:0)```me_desc---->73___2___1400-1430___1___<b>黃俊穎 教授 (NYCU)</b>___黃俊穎___50(字串長度:72)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報73(字串長度:8)```conf---->73(字串長度:2)---->HOST(字串長度:4)'),(5326,'2023-08-26 21:54:01',74,'name---->2(字串長度:1)---->李家岩(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Chia-Yen Lee(字串長度:12)```talk_title---->張詠淳(字串長度:9)---->(字串長度:0)```talk_lang---->57(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->2(字串長度:1)---->National Taiwan University (NTU)(字串長度:32)```position----><b>張詠淳 副教授 (Taipei Medical University) </b>(字串長度:55)---->Professor, Dept. of Information Management(字串長度:42)```company2----><b>張詠淳 副教授 (Taipei Medical University) </b>(字串長度:55)---->李家岩 教授 (National Taiwan University)(字串長度:45)```position2---->張詠淳(字串長度:9)---->(字串長度:0)```me_desc---->74___2___1400-1430___2___<b>張詠淳 副教授 (Taipei Medical University) </b>___張詠淳___57(字串長度:97)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報74(字串長度:8)```conf---->74(字串長度:2)---->HOST(字串長度:4)'),(5327,'2023-08-26 21:54:01',75,'name---->2(字串長度:1)---->翁紹仁 (字串長度:10)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1400-1430(字串長度:9)---->Shao-Jen Weng(字串長度:13)```talk_title---->陳舜伶(字串長度:9)---->(字串長度:0)```talk_lang---->64(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->3(字串長度:1)---->Tunghai University(字串長度:18)```position----><b>陳舜伶 副研究員 ( Academia Sinica)</b>(字串長度:48)---->Professor, Dept. of Industrial Engineering and Enterprise Informatio(字串長度:68)```company2----><b>陳舜伶 副研究員 ( Academia Sinica)</b>(字串長度:48)---->翁紹仁 教授 (Tunghai University)(字串長度:37)```position2---->陳舜伶(字串長度:9)---->(字串長度:0)```me_desc---->75___2___1400-1430___3___<b>陳舜伶 副研究員 ( Academia Sinica)</b>___陳舜伶___64(字串長度:90)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報75(字串長度:8)```conf---->75(字串長度:2)---->HOST(字串長度:4)'),(5328,'2023-08-26 21:54:01',76,'name---->2(字串長度:1)---->許嘉裕(字串長度:9)```hide---->1(字串長度:1)---->1\r(字串長度:2)```name2---->1430-1520(字串長度:9)---->Chia-Yu, Hsu(字串長度:12)```talk_title---->Lawrence Lessig(字串長度:15)---->(字串長度:0)```talk_lang---->69(字串長度:2)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->no(字串長度:2)```company---->0(字串長度:1)---->National Taiwan University of Science and Technology(字串長度:52)```position----><b>Lawrence Lessig (Harvard University)</b>(字串長度:43)---->Professor, Dept. of Industrial Management(字串長度:41)```company2----><b>Lawrence Lessig (Harvard University)</b>(字串長度:43)---->許嘉裕 教授 (Taiwan Tech University)(字串長度:41)```position2---->Lawrence(字串長度:8)---->(字串長度:0)```me_desc---->76___2___1430-1520___0___<b>Lawrence Lessig (Harvard University)</b>___Lawrence___69(字串長度:84)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->簡報76(字串長度:8)```conf---->76(字串長度:2)---->HOST(字串長度:4)'),(5329,'2023-08-26 21:54:01',77,'hide---->0(字串長度:1)---->1\r(字串長度:2)```name2---->Benjamin Kuo(字串長度:12)---->Benjamin Kuo (字串長度:13)```position---->Industry Development Director(字串長度:29)---->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)```conf---->AI(字串長度:2)---->HOST(字串長度:4)'),(5330,'2023-08-26 21:54:01',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5331,'2023-08-26 21:54:01',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)```website---->https://www.citi.sinica.edu.tw/pages/yennunhuang/vita_en.html(字串長度:61)---->https://www.citi.sinica.edu.tw/pages/yennunhuang/contact_en.html(字串長度:64)'),(5332,'2023-08-26 21:54:01',81,'hide---->0(字串長度:1)---->0\r(字串長度:2)```company---->中央研究院資訊科學研究所(字串長度:36)---->Academia Sinica(字串長度:15)```position----> 研究員(字串長度:10)---->Research Fellow (Professor)(字串長度:27)```website---->https://homepage.iis.sinica.edu.tw/pages/lwku/vita_en.html(字串長度:58)---->https://homepage.iis.sinica.edu.tw/pages/lwku/contact_en.html(字串長度:61)'),(5333,'2023-08-27 20:33:54',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5334,'2023-08-27 20:33:54',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5335,'2023-08-27 20:33:55',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)```desc---->The LLM (Large Language Model) Revolution: Implications from Chatbots and Tool-use to Reasoning   Abstract:  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:2901)---->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)'),(5336,'2023-08-27 20:33:55',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5337,'2023-08-27 20:33:55',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5338,'2023-08-27 20:33:55',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5339,'2023-08-27 20:33:55',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5340,'2023-08-27 20:33:55',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5341,'2023-08-27 20:33:55',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5342,'2023-08-27 20:33:55',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5343,'2023-08-27 20:33:55',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->Thomas Scialom(字串長度:14)---->(字串長度:0)```me_desc---->https://www.linkedin.com/in/tscialom/(字串長度:37)---->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)'),(5344,'2023-08-27 20:33:55',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5345,'2023-08-27 20:33:55',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5346,'2023-08-27 20:33:55',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5347,'2023-08-27 20:33:55',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5348,'2023-08-27 20:33:55',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5349,'2023-08-27 20:33:55',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5350,'2023-08-27 20:33:55',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5351,'2023-08-27 20:33:55',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5352,'2023-08-27 20:33:55',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5353,'2023-08-27 20:33:55',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5354,'2023-08-27 20:33:55',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5355,'2023-08-27 20:33:55',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5356,'2023-08-27 20:33:55',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5357,'2023-08-27 20:33:55',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5358,'2023-08-27 20:33:55',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5359,'2023-08-27 20:33:55',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5360,'2023-08-27 20:33:55',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5361,'2023-08-27 20:33:55',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5362,'2023-08-27 20:33:55',33,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5363,'2023-08-27 20:33:55',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)```me_desc----><p>Audrey Tang is Taiwan’s digital minister in charge of moda (Ministry of Digital Affairs).</p>\r\n\r\n<p>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.</p>\r\n\r\n<p>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.</p>\r\n\r\n<p>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.</p>\r\n\r\n<p>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.\"</p>(字串長度:890)---->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)'),(5364,'2023-08-27 20:33:55',35,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5365,'2023-08-27 20:33:55',36,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5366,'2023-08-27 20:33:55',37,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5367,'2023-08-27 20:33:55',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5368,'2023-08-27 20:33:55',40,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5369,'2023-08-27 20:33:55',41,'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)'),(5370,'2023-08-27 20:33:55',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5371,'2023-08-27 20:33:55',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5372,'2023-08-27 20:33:55',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5373,'2023-08-27 20:33:55',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5374,'2023-08-27 20:33:55',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5375,'2023-08-27 20:33:55',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5376,'2023-08-27 20:33:55',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5377,'2023-08-27 20:33:55',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5378,'2023-08-27 20:33:55',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5379,'2023-08-27 20:33:55',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5380,'2023-08-27 20:33:55',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5381,'2023-08-27 20:33:56',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5382,'2023-08-27 20:33:56',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5383,'2023-08-27 20:33:56',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5384,'2023-08-27 20:33:56',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5385,'2023-08-27 20:33:56',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->(字串長度:0)---->Government Data Management - Lessons from the US Evidence Act and Beyond(字串長度:72)'),(5386,'2023-08-27 20:33:56',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5387,'2023-08-27 20:33:56',68,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5388,'2023-08-27 20:33:56',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)```name2---->Lester Lawrence Lessig(字串長度:22)---->(字串長度:0)'),(5389,'2023-08-27 20:33:56',70,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5390,'2023-08-27 20:33:56',71,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5391,'2023-08-27 20:33:56',72,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5392,'2023-08-27 20:33:56',73,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5393,'2023-08-27 20:33:56',74,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5394,'2023-08-27 20:33:56',75,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5395,'2023-08-27 20:33:56',76,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5396,'2023-08-27 20:33:56',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)```talk_title---->Closing Remarks(字串長度:15)---->(字串長度:0)```me_desc----><p>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。</p>\r\n\r\n<p>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</p>\r\n\r\n<p>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。</p>(字串長度:1180)---->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)'),(5397,'2023-08-27 20:33:56',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5398,'2023-08-27 20:33:56',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5399,'2023-08-27 20:33:56',81,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5400,'2023-08-27 22:24:17',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5401,'2023-08-27 22:24:17',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5402,'2023-08-27 22:24:17',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5403,'2023-08-27 22:24:17',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5404,'2023-08-27 22:24:17',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5405,'2023-08-27 22:24:17',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5406,'2023-08-27 22:24:17',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5407,'2023-08-27 22:24:17',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5408,'2023-08-27 22:24:17',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5409,'2023-08-27 22:24:17',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5410,'2023-08-27 22:24:17',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5411,'2023-08-27 22:24:17',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5412,'2023-08-27 22:24:17',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5413,'2023-08-27 22:24:17',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5414,'2023-08-27 22:24:17',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5415,'2023-08-27 22:24:17',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5416,'2023-08-27 22:24:17',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5417,'2023-08-27 22:24:17',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5418,'2023-08-27 22:24:18',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5419,'2023-08-27 22:24:18',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5420,'2023-08-27 22:24:18',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5421,'2023-08-27 22:24:18',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5422,'2023-08-27 22:24:18',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5423,'2023-08-27 22:24:18',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5424,'2023-08-27 22:24:18',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5425,'2023-08-27 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17:59:54',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5646,'2023-08-28 17:59:55',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5647,'2023-08-28 17:59:55',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5648,'2023-08-28 17:59:55',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5649,'2023-08-28 17:59:55',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5650,'2023-08-28 17:59:55',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5651,'2023-08-28 17:59:55',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5652,'2023-08-28 17:59:55',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5653,'2023-08-28 17:59:55',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)```talk_title---->Applying AI in the Classroom (字串長度:29)---->Being a Better Learner with ChatGPT(字串長度:35)```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)'),(5654,'2023-08-28 17:59:55',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5655,'2023-08-28 17:59:55',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5656,'2023-08-28 17:59:55',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5657,'2023-08-28 17:59:55',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5658,'2023-08-28 17:59:55',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5659,'2023-08-28 17:59:55',68,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5660,'2023-08-28 17:59:55',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5661,'2023-08-28 17:59:55',70,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5662,'2023-08-28 17:59:55',71,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5663,'2023-08-28 17:59:55',72,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5664,'2023-08-28 17:59:55',73,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5665,'2023-08-28 17:59:55',74,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5666,'2023-08-28 17:59:55',75,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5667,'2023-08-28 17:59:55',76,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5668,'2023-08-28 17:59:55',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5669,'2023-08-28 17:59:55',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5670,'2023-08-28 17:59:55',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5671,'2023-08-28 17:59:55',81,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5672,'2023-08-29 18:36:12',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5673,'2023-08-29 18:36:12',2,'name---->TBD-02(字串長度:6)---->吳政忠(字串長度:9)```hide---->1(字串長度:1)---->0\r(字串長度:2)```name2---->英文姓名2(字串長度:13)---->Tsung-Tsong Wu(字串長度:14)```talk_title---->題目2(字串長度:7)---->(字串長度:0)```company---->服務單位2(字串長度:13)---->National Science and Technology Council(字串長度:39)```position---->職稱2(字串長度:7)---->Minister(字串長度:8)```company2---->服務單位二2(字串長度:16)---->(字串長度:0)```position2---->職稱二2(字串長度:10)---->(字串長度:0)```desc---->摘要2(字串長度:7)---->(字串長度:0)```me_desc---->簡介2(字串長度:7)---->(字串長度:0)'),(5674,'2023-08-29 18:36:12',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5675,'2023-08-29 18:36:12',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5676,'2023-08-29 18:36:12',5,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5677,'2023-08-29 18:36:12',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5678,'2023-08-29 18:36:12',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5679,'2023-08-29 18:36:12',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)```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。 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.  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。 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.   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。 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.   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。 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.   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。 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:2169)---->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)'),(5680,'2023-08-29 18:36:12',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5681,'2023-08-29 18:36:12',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5682,'2023-08-29 18:36:12',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5683,'2023-08-29 18:36:12',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5684,'2023-08-29 18:36:12',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)```can_playback---->no(字串長度:2)---->yes(字串長度:3)```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. 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08:58:53',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5745,'2023-08-30 08:58:54',6,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5746,'2023-08-30 08:58:54',7,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5747,'2023-08-30 08:58:54',9,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5748,'2023-08-30 08:58:54',11,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5749,'2023-08-30 08:58:54',12,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5750,'2023-08-30 08:58:54',13,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5751,'2023-08-30 08:58:54',14,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5752,'2023-08-30 08:58:54',15,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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\n \r\n 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\n \r\n 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\n \r\n 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:1586)---->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. 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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)'),(5753,'2023-08-30 08:58:54',16,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5754,'2023-08-30 08:58:54',17,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5755,'2023-08-30 08:58:54',18,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5756,'2023-08-30 08:58:54',19,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5757,'2023-08-30 08:58:54',20,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5758,'2023-08-30 08:58:54',21,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5759,'2023-08-30 08:58:54',22,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5760,'2023-08-30 08:58:54',23,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5761,'2023-08-30 08:58:54',24,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5762,'2023-08-30 08:58:54',25,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5763,'2023-08-30 08:58:54',26,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5764,'2023-08-30 08:58:54',27,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5765,'2023-08-30 08:58:54',28,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5766,'2023-08-30 08:58:54',29,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5767,'2023-08-30 08:58:54',30,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5768,'2023-08-30 08:58:54',31,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5769,'2023-08-30 08:58:54',32,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5770,'2023-08-30 08:58:54',34,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5771,'2023-08-30 08:58:54',35,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5772,'2023-08-30 08:58:54',36,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5773,'2023-08-30 08:58:54',37,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5774,'2023-08-30 08:58:54',38,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5775,'2023-08-30 08:58:54',39,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5776,'2023-08-30 08:58:54',40,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5777,'2023-08-30 08:58:54',41,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5778,'2023-08-30 08:58:54',42,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5779,'2023-08-30 08:58:54',43,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5780,'2023-08-30 08:58:54',47,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5781,'2023-08-30 08:58:54',48,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5782,'2023-08-30 08:58:54',49,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5783,'2023-08-30 08:58:54',50,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5784,'2023-08-30 08:58:54',53,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5785,'2023-08-30 08:58:54',54,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5786,'2023-08-30 08:58:54',55,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5787,'2023-08-30 08:58:54',56,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5788,'2023-08-30 08:58:55',57,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5789,'2023-08-30 08:58:55',60,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5790,'2023-08-30 08:58:55',61,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5791,'2023-08-30 08:58:55',62,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5792,'2023-08-30 08:58:55',63,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5793,'2023-08-30 08:58:55',64,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5794,'2023-08-30 08:58:55',67,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5795,'2023-08-30 08:58:55',68,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5796,'2023-08-30 08:58:55',69,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5797,'2023-08-30 08:58:55',70,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5798,'2023-08-30 08:58:55',71,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5799,'2023-08-30 08:58:55',72,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5800,'2023-08-30 08:58:55',73,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5801,'2023-08-30 08:58:55',74,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5802,'2023-08-30 08:58:55',75,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5803,'2023-08-30 08:58:55',76,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5804,'2023-08-30 08:58:55',77,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5805,'2023-08-30 08:58:55',78,'hide---->0(字串長度:1)---->0\r(字串長度:2)```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)'),(5806,'2023-08-30 08:58:55',80,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5807,'2023-08-30 08:58:55',81,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5808,'2023-08-30 09:11:15',1,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5809,'2023-08-30 09:11:15',2,'hide---->1(字串長度:1)---->1\r(字串長度:2)'),(5810,'2023-08-30 09:11:15',3,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5811,'2023-08-30 09:11:15',4,'hide---->0(字串長度:1)---->0\r(字串長度:2)'),(5812,'2023-08-30 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Liao(字串長度:13)---->(字串長度:0)```company---->Academia Sinica(字串長度:15)---->(字串長度:0)```position---->President (字串長度:10)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6010,'2023-08-30 13:48:14',2,'name---->吳政忠(字串長度:9)---->TBD-02(字串長度:6)```name2---->Tsung-Tsong Wu(字串長度:14)---->(字串長度:0)```company---->National Science and Technology Council(字串長度:39)---->(字串長度:0)```position---->Minister(字串長度:8)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6011,'2023-08-30 13:48:14',3,'name---->林百里(字串長度:9)---->TBD-03(字串長度:6)```name2---->Barry Lam(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 Inc.(字串長度:20)---->(字串長度:0)```position---->Chairman(字串長度:8)---->(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---->Mr. Barry Lam, the founder and CEO of Quanta Group, is a guiding figure in the IT industry. 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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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報3(字串長度:7)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6012,'2023-08-30 13:48:14',4,'name---->紀懷新(字串長度:9)---->TBD-04(字串長度:6)```name2---->Ed H. Chi(字串長度:9)---->(字串長度:0)```talk_title---->The LLM Revolution: Implications from Chatbots and Tool-use to Reasoning(字串長度:72)---->(字串長度:0)```company---->Google DeepMind(字串長度:15)---->(字串長度:0)```position---->Distinguished Scientist(字串長度:23)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報4(字串長度:7)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6013,'2023-08-30 13:48:14',6,'name---->張嘉淵(字串長度:9)---->TBD-06(字串長度:6)```name2---->Ted Chang(字串長度:9)---->(字串長度:0)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(字串長度:0)```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)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6014,'2023-08-30 13:48:14',7,'name---->李育杰(字串長度:9)---->TBD-07(字串長度:6)```name2---->Yuh-Jye Lee(字串長度:11)---->(字串長度:0)```talk_title---->生成式 AI 開啟的技術與產業革新(字串長度:43)---->(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 Fellow (Professor)(字串長度:27)---->(字串長度:0)```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)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6015,'2023-08-30 13:48:14',9,'name---->劉思泰(字串長度:9)---->TBD-09(字串長度:6)```name2---->ST Liew(字串長度:7)---->(字串長度:0)```talk_title---->The Future of AI is on-device(字串長度:29)---->(字串長度:0)```company---->Qualcomm Technologies(字串長度:21)---->(字串長度:0)```position---->President, Taiwan & SEA\r Australia, New Zealand\r Vice President(字串長度:63)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報9(字串長度:7)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6016,'2023-08-30 13:48:14',11,'name---->吳漢章(字串長度:9)---->TBD-11(字串長度:6)```name2---->Peter Wu(字串長度:8)---->(字串長度:0)```talk_title----> Democratizing LLM to Empower Generative AI Innovations(字串長度:55)---->(字串長度:0)```company---->TWSC(字串長度:4)---->(字串長度:0)```position---->CEO(字串長度:3)---->(字串長度:0)```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)---->(字串長度:0)```talkfile_link---->Ｘ(字串長度:3)---->簡報11(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6017,'2023-08-30 13:48:14',12,'name---->許大山(字串長度:9)---->TBD-12(字串長度:6)```name2---->Da-shan Shiu(字串長度:12)---->(字串長度:0)```talk_title---->Case Studies of Applying Generative AI Concepts to Low Resource Domains(字串長度:71)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->MediaTek Research(字串長度:17)---->(字串長度:0)```position---->Managing Director(字串長度:17)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報12(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6018,'2023-08-30 13:48:14',13,'name---->沈文冰(字串長度:9)---->TBD-13(字串長度:6)```name2---->Wenping Shen(字串長度:12)---->(字串長度:0)```talk_title---->Fine-tuning LLMs for Your Enterprise Applications(字串長度:49)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->TSMC(字串長度:4)---->(字串長度:0)```position---->AI Application & Integration Division, Deputy Director (字串長度:55)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報13(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6019,'2023-08-30 13:48:14',14,'name---->Thomas Scialom(字串長度:14)---->TBD-14(字串長度:6)```talk_title---->Large Language Models, Generative AI and Scaling(字串長度:48)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Meta AI(字串長度:7)---->(字串長度:0)```position---->Research Scientist (LLMs)(字串長度:25)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報14(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6020,'2023-08-30 13:48:14',15,'name---->王宗業(字串長度:9)---->TBD-15(字串長度:6)```name2---->Chungyeh Wang(字串長度:13)---->(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---->Platform Software Architect(字串長度:27)---->(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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報15(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6021,'2023-08-30 13:48:14',16,'name---->李百飛(字串長度:9)---->TBD-16(字串長度:6)```name2---->Brian Lee(字串長度:9)---->(字串長度:0)```talk_title---->Green Technologies Embedded for Big Data + GenAI Platform(字串長度:57)---->(字串長度:0)```company---->Dell Technologies (字串長度:18)---->(字串長度:0)```position---->Technical VP(字串長度:12)---->(字串長度:0)```company2---->System Engineering(字串長度:18)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報16(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6022,'2023-08-30 13:48:15',17,'name---->陳贈文(字串長度:9)---->TBD-17(字串長度:6)```name2---->Vince Chen(字串長度:10)---->(字串長度:0)```talk_title---->Green AI Infrastructure for Business Transformation(字串長度:51)---->(字串長度:0)```company---->Super Micro Computer, Inc.(字串長度:26)---->(字串長度:0)```position---->Sr. Director of Solutions Architecture(字串長度:38)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報17(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6023,'2023-08-30 13:48:15',18,'name---->康勝閔(字串長度:9)---->TBD-18(字串長度:6)```name2---->Eric Kang(字串長度:9)---->(字串長度:0)```talk_title---->NVIDIA Grace Hopper Superchip Architecture In-Depth(字串長度:51)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->NVIDIA(字串長度:6)---->(字串長度:0)```position---->Senior Manger, Solution Architect (字串長度:34)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報18(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6024,'2023-08-30 13:48:15',19,'name---->沈仲杰(字串長度:9)---->TBD-19(字串長度:6)```name2---->JongJye Sheen(字串長度:13)---->(字串長度:0)```talk_title---->AMD Instinct GPU – 1.19 ExaFlops System and LLM(字串長度:49)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->AMD(字串長度:3)---->(字串長度:0)```position---->Sr. Market Development Manager(字串長度:30)---->(字串長度:0)```company2---->Data Center Accelerator BU(字串長度:26)---->(字串長度:0)```desc---->   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)---->(字串長度:0)```me_desc----> 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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報19(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6025,'2023-08-30 13:48:15',20,'name---->洪嘉明(字串長度:9)---->TBD-20(字串長度:6)```name2---->Chia-Ming Hung(字串長度:14)---->(字串長度:0)```talk_title---->Designing Industry-Leading Energy-Efficient AI Chips(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---->NEUCHIPS(字串長度:8)---->(字串長度:0)```position---->R&D department, Manager(字串長度:23)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報20(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6026,'2023-08-30 13:48:15',21,'name---->吳偉壽(字串長度:9)---->TBD-21(字串長度:6)```name2---->Wayne Wu(字串長度:8)---->(字串長度:0)```talk_title---->Liberate Data Performance, Embrace a Highly Flexible and Intelligent Cloud.(字串長度:75)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->NetApp(字串長度:6)---->(字串長度:0)```position---->Solution Engineer(字串長度:17)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報21(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6027,'2023-08-30 13:48:15',22,'name---->李昕穎(字串長度:9)---->TBD-22(字串長度:6)```name2---->Hsin-Ying Lee(字串長度:13)---->(字串長度:0)```talk_title---->From 2D to 3D / From Image to Video(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---->Snap Inc.(字串長度:9)---->(字串長度:0)```position---->Senior Research Scientist, Creative Vision Team, Snap Research(字串長度:62)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報22(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6028,'2023-08-30 13:48:15',23,'name---->邱浩修(字串長度:9)---->TBD-23(字串長度:6)```name2---->Hao-Hsiu Chiu(字串長度:13)---->(字串長度:0)```talk_title---->Creativity with Generative AI in the Design and Architecture Industry(字串長度:69)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Tunghai Uiversity(字串長度:17)---->(字串長度:0)```position---->Department of Architecture, Associate Professor(字串長度:47)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報23(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6029,'2023-08-30 13:48:15',24,'name---->鄭生懋(字串長度:9)---->TBD-24(字串長度:6)```name2---->Thomas Cheng(字串長度:12)---->(字串長度:0)```talk_title---->Challenges and Opportunities of Machine Tool Industry in Taiwan (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---->Victor Taichung (字串長度:16)---->(字串長度:0)```position---->General Management Division / Manager(字串長度:37)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報24(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6030,'2023-08-30 13:48:15',25,'name---->陳昱中(字串長度:9)---->TBD-25(字串長度:6)```name2---->Yuchung Chen(字串長度:12)---->(字串長度:0)```talk_title---->The Practice Principles of Smart Manufacturing(字串長度:46)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->eCloudvalley Digital Technology(字串長度:31)---->(字串長度:0)```position---->TW Dept. Technical Director(字串長度:27)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報25(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6031,'2023-08-30 13:48:15',26,'name---->趙新民(字串長度:9)---->TBD-26(字串長度:6)```name2---->Shin-Min Chao(字串長度:13)---->(字串長度:0)```talk_title---->A sustainable and smart manufacturing for productivity improvement(字串長度:66)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->AUO Digitech(字串長度:12)---->(字串長度:0)```position---->Executive Vice President (字串長度:25)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報26(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6032,'2023-08-30 13:48:15',27,'name---->吳振和(字串長度:9)---->TBD-27(字串長度:6)```name2---->Wu, Cheng-Ho(字串長度:12)---->(字串長度:0)```talk_title---->Cloud Empowerment and Rapid Deployment of Generative AI(字串長度:55)---->(字串長度:0)```company---->cacaFly(字串長度:7)---->(字串長度:0)```position---->VP of Technology(字串長度:16)---->(字串長度:0)```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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報27(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6033,'2023-08-30 13:48:15',28,'name---->孫弘岳(字串長度:9)---->TBD-28(字串長度:6)```name2---->Hung-Yue Suen(字串長度:13)---->(字串長度:0)```talk_title---->Harnessing GAI: Revolutionizing HR Practices(字串長度:44)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->National Taiwan Normal University(字串長度:33)---->(字串長度:0)```position---->echnology Application And Human Resource Development / Distinguished Associate Professor(字串長度:88)---->(字串長度:0)```desc---->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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報28(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6034,'2023-08-30 13:48:15',29,'name---->李怡志(字串長度:9)---->TBD-29(字串長度:6)```name2---->Richy Li(字串長度:8)---->(字串長度:0)```talk_title---->Unlocking Innovation with LLM: Integrating Prompt Engineering in Product Development(字串長度:84)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->National Chengchi University(字串長度:28)---->(字串長度:0)```position---->Assistant Prof., Dept. of Journalism(字串長度:36)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報29(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6035,'2023-08-30 13:48:15',30,'name---->許凱程(字串長度:9)---->TBD-30(字串長度:6)```name2---->Kai-Cheng Hsu(字串長度:13)---->(字串長度:0)```talk_title---->Transforming Smart Healthcare with Generative AI(字串長度:48)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->China Medical University Hospital(字串長度:33)---->(字串長度:0)```position---->Artificial Intelligence Center / Director(字串長度:41)---->(字串長度:0)```company2---->China Medical University(字串長度:24)---->(字串長度:0)```position2---->School of Medicine/ Assistant Professor(字串長度:39)---->(字串長度:0)```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)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報30(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6036,'2023-08-30 13:48:15',31,'name---->王俊權(字串長度:9)---->TBD-31(字串長度:6)```name2---->Friedman Wang(字串長度:13)---->(字串長度:0)```talk_title---->The Current State and Future Prospects of AI-Enabled Financial Services(字串長度:71)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Data Intelligence R&D Division(字串長度:30)---->(字串長度:0)```position---->Executive Vice President(字串長度:24)---->(字串長度:0)```talkfile_link---->V(字串長度:1)---->簡報31(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6037,'2023-08-30 13:48:15',32,'name---->胡德民(字串長度:9)---->TBD-32(字串長度:6)```name2---->Peter Hu(字串長度:8)---->(字串長度:0)```talk_title---->Opportunities and Methods for Accelerating Enterprise Digital Transformation through Generative AI\r (字串長度:100)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->FarEasTone Telecom(字串長度:18)---->(字串長度:0)```position---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)---->(字串長度:0)```desc---->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)---->(字串長度:0)```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. 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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報32(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6038,'2023-08-30 13:48:15',34,'name---->唐鳳(字串長度:6)---->TBD-34(字串長度:6)```name2---->TANG Feng (Audrey TANG)(字串長度:23)---->(字串長度:0)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->(字串長度:0)```company---->Ministry of Digital Affairs(字串長度:27)---->(字串長度:0)```position---->Minister(字串長度:8)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6039,'2023-08-30 13:48:15',35,'name---->蔡志宏(字串長度:9)---->TBD-35(字串長度:6)```name2---->Zsehong Tsai(字串長度:12)---->(字串長度:0)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->(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---->Professor(字串長度:9)---->(字串長度:0)```company2---->Science & Technology Policy Advisory Office, NSTC(字串長度:49)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6040,'2023-08-30 13:48:15',36,'name---->林明仁(字串長度:9)---->TBD-36(字串長度:6)```name2---->Ming-Jen Lin(字串長度:12)---->(字串長度:0)```talk_title---->共創以人為本的 AI 治理框架與路徑(字串長度:46)---->(字串長度:0)```company---->National Taiwan University (NTU)(字串長度:32)---->(字串長度:0)```position---->Distinguished Professor, Department of Economics(字串長度:48)---->(字串長度:0)```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)---->(字串長度:0)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6041,'2023-08-30 13:48:15',37,'name---->陸忠立(字串長度:9)---->TBD-37(字串長度:6)```name2---->Allen Lu(字串長度:8)---->(字串長度:0)```talk_title---->Mobile AI Evolution – Trend and Challenge(字串長度:43)---->(字串長度:0)```can_playback---->yes(字串長度:3)---->no(字串長度:2)```company---->Mediatek(字串長度:8)---->(字串長度:0)```position---->Senior Director (字串長度:16)---->(字串長度:0)```company2---->Compute and Artificial Intelligence Department (字串長度:47)---->(字串長度:0)```me_desc---->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)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->簡報37(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),(6042,'2023-08-30 13:48:15',38,'name---->郭秉宸(字串長度:9)---->TBD-38(字串長度:6)```name2---->Benjamin Kuo (字串長度:13)---->(字串長度:0)```talk_title---->Closing Remarks(字串長度:15)---->(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)```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38(字串長度:8)```position_for_agenda---->(字串長度:0)---->\r(字串長度:1)'),