(6529,'2024-08-22 16:47:09',57,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院生醫與醫材研究所(字串長度:33)---->Industrial Technology Research Institute(字串長度:40)```position---->醫療長(字串長度:9)---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories, ITRI(字串長度:83)```me_desc---->(字串長度:0)---->許凱程醫師為神經科主治醫師，專長為失智症、腦中風與睡眠障礙治療；台大醫學系畢業後，致力於醫學與工程的跨領域結合，在工程方面取得國立中正大學化學工程博士與電機工程碩士，並於2018-2020赴美國國家衛生研究院的神經與腦中風機構，訊息與生物資訊部門擔任研究員。專長為人工智慧、系統生物學、生醫訊號處理與生物資訊學。許醫師有豐富的醫療人工智慧實作經驗，能夠結合臨床知識與人工智慧技術，提升AI在臨床醫療之應用，2020-2023擔任中國醫藥大學附設醫院人工智慧中心主任，領導該中心開發多項AI工具，於臨床上線使用，且取得TFDA智慧醫材認證，並已有多篇醫療人工智慧學術論文發表。2024年，加入工業技術研究院，進一步從事健康醫療產業領域的AI研究，包括人工智慧在醫學影像、生物醫學信號、電子病歷和生物資訊學的應用。(字串長度:1001)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6530,'2024-08-27 09:04:04',31,'company---->(字串長度:0)---->台灣人工智慧學校(字串長度:24)```position---->(字串長度:0)---->校務長(字串長度:9)'),(6531,'2024-08-27 09:04:04',26,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6532,'2024-08-27 09:04:04',27,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6533,'2024-08-27 09:04:04',29,'conf---->PANEL(字串長度:5)---->AI(字串長度:2)'),(6534,'2024-08-27 09:04:04',46,'name2---->(字串長度:0)---->Stan Lin(字串長度:8)```anchor---->speaker-46(字串長度:10)---->stan-lin(字串長度:8)```talk_title---->(字串長度:0)---->Enterprise AI Application Practices - Expect the Unexpected!(字串長度:60)```talk_title2---->(字串長度:0)---->AI 在企業落地應用案例實務-期待意想不到的發展(字串長度:64)```position---->副總經理(字串長度:12)---->技術長(字串長度:9)```desc---->(字串長度:0)---->在本次演講中，我將介紹我們的 AI 之旅和路線圖，重點關注 NLP 和電腦視覺任務，試圖找出它們之間的聯繫，並描繪出主要進步可能來自何處。我還將介紹一些企業人工智慧應用用例並分享我們的實踐。最後，我對LLM和GenAI未來將為企業帶來什麼發展發表自己的看法。\r\n人工智慧的美妙之處在於它的不可預測性（這不是一個錯誤，而是一個功能，因為一切都是建立在機率之上的）。所有企業都應該預料到自己的計劃可能會因為一些性能比預期更好的新模型（如 Llama3 或 GPT5）或完全不同的、意想不到的東西而泡湯。新的模型、方法、資料集或伺服器可能會破壞原先場景。始終期待 LLM/GenAI 中出現意想不到的新發展。\r(字串長度:818)```me_desc---->(字串長度:0)---->林縣城先生目前任職叡揚資訊技術長，在此之前擔任執行長資深特助職務，曾任職財團法人資訊工業策進會中心主任、及資拓宏宇技術副總經理職務，主要負責技術研發技術研發及管理、業務發展及部門管理等工作。\r\n林先生具備超過30年資訊技術研發、資訊系統發展和專案管理經驗，曾領導和管理多個資訊技術研發計畫及資訊系統開發計畫，研發計畫主要包括知識庫系統技術研發計劃、排程系統技術研發計劃、推薦引擎研發計劃及RFID 中介軟體研發計畫等；資訊系統開發計畫主要包括知識庫系統發展工具、台灣鐵路局列車排點系統、航機負載平衡系統及高雄海關e-Seal系統等。\r\n林先生的專長領域包括人工智慧與知識庫技術、排程系統技術、資料探勘及文字探勘、企業應用軟體規劃、策略資訊系統規劃、軟體開發及架構設計、軟體工程專案管理、RFID技術應用、雲端運算、行動運算、記億體運算及商業智慧、技術研發及管理。\r(字串長度:1102)'),(6535,'2024-08-27 09:04:04',57,'position---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories, ITRI(字串長度:83)---->Chief Medical Officer, Biomedical Technology and Device Research Laboratories(字串長度:77)'),(6536,'2024-08-27 11:01:57',37,'talk_title---->(字串長度:0)---->AI-Driven Future: FET\'s Digital Transformation Journey(字串長度:54)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->Information & Digital Transformation Technology(字串長度:47)---->Far EasTone Telecommunication Co., Ltd.(字串長度:39)```position---->Information & Digital Transformation Technology Executive Vice President(字串長度:72)---->Information & Digital Transformation Technology/ CIO & Executive Vice President(字串長度:79)```desc---->(字串長度:0)---->Mr. Peter Hu, CIO of FET, will explore the challenges and opportunities of AI adoption in enterprise, such as lack of scenarios, monetization difficulties, ambiguous investment decisions, and insufficient .Peter Hu effective data. He will discuss how FET enhances productivity, fosters innovation, drives data-driven decisions, manages net-zero targets, and ensures digital resilience and security. This session will also cover how these capabilities align with FET\'s technological, organizational, cultural, and financial transformation strategies.(字串長度:549)```me_desc---->\"In August 2021, Mr. Peter joined Far EasTone Telecommunications as the Executive Vice President and Chief Information Officer of the Information and Digital Transformation Technology Group. Peter\'s role encompasses driving the transformation of information services, spearheading the development of next-generation digital user experiences for 5G, and leading the creation of enterprise solutions and consultancy services in the realms of \"\"Big Data, Artificial Intelligence, and Internet of Things\"\" under the Far EasTone brand. Additionally, Peter has taken the lead in establishing the Far EasTone Innovation Accelerator.\n2021 年 8 月加入遠傳電信，擔任資訊暨數位轉型科技群執行副總經理及資訊長\n負責推動資訊服務轉型、5G的新一代數位用戶體驗發展以及遠傳「大人物（大數據、人工智慧、物聯網）」的企業解決方案與顧問服務，並主導成立遠傳新創加速器。\n\"(字串長度:948)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6537,'2024-08-27 11:01:58',55,'company---->\r\n群聯電子股份有限公司(字串長度:32)---->群聯電子股份有限公司(字串長度:30)'),(6538,'2024-08-27 11:01:58',68,'name2---->(字串長度:0)---->Allen Own(字串長度:9)```anchor---->speaker-68(字串長度:10)---->allen-own(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Devcore(字串長度:7)---->DEVCORE(字串長度:7)```position---->執行長(字串長度:9)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\n\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1044)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->Devcore(字串長度:7)---->DEVCORE(字串長度:7)```position_for_agenda---->執行長(字串長度:9)---->CEO(字串長度:3)'),(6539,'2024-08-27 11:41:02',54,'position---->產品研中心BU12事業部事業總處處長 (字串長度:47)---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)'),(6540,'2024-08-27 11:41:02',66,'name2---->(字串長度:0)---->Hen-Hsen Huang(字串長度:14)```anchor---->speaker-66(字串長度:10)---->hen-hsen-huang(字串長度:14)```talk_title---->(字串長度:0)---->The Development of Multimodal TAIDE Models (字串長度:43)```talk_title2---->(字串長度:0)---->多模態 TAIDE 模型的發展(字串長度:31)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中研院(字串長度:9)---->Institute of Information Science, Academia Sinica(字串長度:49)```position---->副研究員(字串長度:12)---->Associate Research Fellow(字串長度:25)```me_desc---->(字串長度:0)---->Dr. Huang\'\'s research focuses on the investigation of computational approaches for modeling the interplay between figurative language processing and human knowledge representation, leading the pioneering work in Chinese discourse analysis. His works have been published in SCI/SSCI journals and top-tier conferences in the venues of artificial intelligence, computational linguistics, natural language processing, and information retrieval. Prior to joining the Institute of Information Science, Academia Sinica, Dr. Huang was an assistant professor in the Department of Computer Science at the National Chengchi University. His award and honors include the Honorable Mention of Doctoral Dissertation Award of ACLCLP in 2014 and the Honorable Mention of Master Thesis Award of ACLCLP in 2008. He served as the registration chair of TAAI 2017, the publication chair of ROCLING 2020, and as PC members of representative conferences in computational linguistics including ACL, COLING, EMNLP, and NAACL. He was one of organizers of FinNum Task at NTCIR-2014 and FinNLP Workshop at IJCAI 2019.(字串長度:1088)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://homepage.iis.sinica.edu.tw/pages/hhhuang/vita_zh.html(字串長度:61)'),(6541,'2024-08-27 13:16:44',31,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6542,'2024-08-27 13:16:44',71,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6543,'2024-08-27 13:16:44',54,'name----> 楊子翔(字串長度:10)---->楊子翔(字串長度:9)'),(6544,'2024-08-27 14:39:33',34,'position---->(字串長度:0)---->總工程師(字串長度:12)```position_for_agenda---->博士(字串長度:6)---->(字串長度:0)'),(6545,'2024-08-28 10:26:36',60,'name2---->Dr. Bowen Chiu(字串長度:14)---->Bowen Chiu(字串長度:10)```anchor---->dr.-bowen-chiu(字串長度:14)---->bowen-chiu(字串長度:10)```talk_title---->(字串長度:0)---->Taiwan government AI designer(字串長度:29)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->卡米爾(字串長度:9)---->CAMEO(字串長度:5)```position---->創辦人暨技術長 (字串長度:22)---->Designer(字串長度:8)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6546,'2024-08-28 10:26:36',68,'talk_title---->(字串長度:0)---->The Evolution of Cybersecurity Attacks in the GenAI Era(字串長度:55)```talk_title2---->(字串長度:0)---->GenAI 時代資安攻擊的演進(字串長度:33)'),(6547,'2024-08-28 10:26:36',69,'name2---->(字串長度:0)---->Shi-Cho Cha(字串長度:11)```anchor---->speaker-69(字串長度:10)---->shi-cho-cha(字串長度:11)```talk_title---->(字串長度:0)---->AI and Security Governance(字串長度:26)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台科大(字串長度:9)---->National Taiwan University of Science and Technology(字串長度:52)```position---->教授(字串長度:6)---->Department of Information Management, Chairman and Professor(字串長度:60)```company2---->(字串長度:0)---->台科大(字串長度:9)```position2---->(字串長度:0)---->教授(字串長度:6)```me_desc---->(字串長度:0)---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \n\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1192)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://sites.google.com/cs.ntust.edu.tw/shihchaocha(字串長度:52)'),(6548,'2024-08-28 11:14:32',4,'me_desc---->(字串長度:0)---->童子賢先生是和碩集團創辦人與董事長，也是台北市電腦公會榮譽理事長。和碩集團從事代工、設計、製造與服務等多元化業務，同時將觸角擴及金屬機殼、隱形眼鏡等不同領域。童子賢先生自台北科技大學畢業後即進入宏碁電腦工作，於1989年與謝偉琦、廖敏雄、及徐世昌四人共同創立華碩電腦，在華碩時期他帶領團隊發展筆記型電腦品牌，其後華碩筆電不但榮登台灣市佔率第一名，更成為全球前十大筆記型電腦品牌。於2007年，華碩與和碩宣布分家，童子賢先生進入和碩擔任董事長暨策略長，和碩聯合科技以強大的設計實力與經驗，在電子代工產業獨樹一格，運用所擁有的2,216億台幣淨資產，讓全球所有據點共約16萬名的員工，持續在這個世界級舞台發光發熱，2023年的合併營收達新台幣1兆2,568億元。(字串長度:937)'),(6549,'2024-08-28 11:14:32',34,'talk_title---->(字串長度:0)---->The Development of E.SUN BANK in GenAI\r\nGenAI Adoption in E.SUN BANK(字串長度:68)'),(6550,'2024-08-28 11:14:32',41,'name2---->(字串長度:0)---->Che-Wei Chou(字串長度:12)```anchor---->speaker-41(字串長度:10)---->che-wei-chou(字串長度:12)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->逢甲大學工業工程與系統管理學系(字串長度:45)---->Feng Chia University(字串長度:20)```position---->助理教授(字串長度:12)---->Department of Industrial Engineering and Systems Management, Assistant Professor(字串長度:80)```me_desc---->(字串長度:0)---->Dr. Che-Wei Chou is an assistant professor at the Department of Industrial Engineering and Systems Management at Feng Chia University. He received a Ph.D. degree in Industrial Engineering and Engineering Management from National Tsing Hua University, Taiwan, in 2016. He also received a B.S. degree and M.S. in physics from Industrial Engineering Management from Yuan Ze University, Taiwan, in 2001 and 2003, respectively. He served as the CEO of Artificial Intelligence for Intelligent Manufacturing Systems (AIMS) Research Center, MOST, Taiwan. He is dedicated to coordinating research teams and executing research projects to build on Taiwan\'s strength in manufacturing to update and transform industries, bridge partnerships between academia and industry for innovation and entrepreneurship, export AI solutions for intelligent manufacturing, and elevate Taiwan\'s global visibility and influence in AI.(字串長度:906)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6551,'2024-08-28 11:14:32',65,'name2---->(字串長度:0)---->Jason Huang(字串長度:11)```anchor---->speaker-65(字串長度:10)---->jason-huang(字串長度:11)```talk_title---->(字串長度:0)---->Intelligent System Design for Optimized IC Design (字串長度:50)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Cadence(字串長度:7)---->Cadence Design Systems(字串長度:22)```position---->應用工程總監(字串長度:18)---->1.	Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:87)```me_desc---->(字串長度:0)---->1.        Cadence Application Engineering Director for Digital Implementation & Signoff Group to support Taiwan customer success in technology and tool application.\n2.        More than 20+ years working experiences in IC Design field with major focus on STA/RC Extraction/IR closure and signoff till 3nm process node.\n3.        In recent years, he supports customer in successfully applying the latest intelligence AI technology for rapid IR design closure to achieve optimized performance in IC design. (字串長度:504)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6552,'2024-08-28 17:46:10',8,'me_desc---->(字串長度:0)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\r\n\r\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\r\n\r\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\r\n\r\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\r\n\r\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\r(字串長度:975)'),(6553,'2024-08-28 17:46:10',11,'me_desc---->(字串長度:0)---->EDUCATION \r\nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\r\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \r\nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\r\n\r\nEXPERIENCE\r\nDirector General, National Center for High Performance Computing (2022-present)\r\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\r\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\r\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\r\n\r\nCURRENT MAJOR RESEARCH PROJECTS \r\n1.	Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \r\n2.	Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \r\n3.	Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \r\n4.	Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\r(字串長度:1586)'),(6554,'2024-08-28 17:46:10',12,'name2---->(字串長度:0)---->Chao-Yung Hsu(字串長度:13)```anchor---->speaker-12(字串長度:10)---->chao-yung-hsu(字串長度:13)```talk_title---->(字串長度:0)---->The Journey of Digital Transformation in the Steel Industry Driven by AI Technology(字串長度:83)```talk_title2---->(字串長度:0)---->AI技術驅動的鋼鐵工業數位轉型之路(字串長度:47)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中國鋼鐵公司綠能與系統整合研究發展處(字串長度:54)---->China Steel Corporation(字串長度:23)```position---->(字串長度:0)---->Intelligent Solution Technology Section, Scientist(字串長度:50)```me_desc---->(字串長度:0)---->Dr. Chao-Yung Hsu received his Ph.D. from the Graduate Institute of Communication Engineering at National Taiwan University (NTU) in 2012, focusing on computer vision, information security, and artificial intelligence. From 2012 to 2014, he served as a postdoctoral researcher at the Institute of Information Science, Academia Sinica, where he specialized in AI research. Since 2014, Dr. Hsu has been with China Steel Corporation, leveraging computer vision and AI technologies to optimize steel manufacturing processes and implement automation. His work includes successfully completing over ten projects, such as the development of unmanned crane systems. Since 2023, he has been contributing to China Steel\'s digital transformation efforts, focusing on integrating innovative technologies to enhance operational efficiency and improve workflows.(字串長度:848)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6555,'2024-08-29 23:23:50',9,'name2---->(字串長度:0)---->Mark Liao(字串長度:9)```anchor---->speaker-9(字串長度:9)---->mark-liao(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->晶創計劃(字串長度:12)---->The Institute of Information Science, Academia Sinica(字串長度:53)```position---->副執行長(字串長度:12)---->Director and Distinguished Research Fellow(字串長度:42)```me_desc---->(字串長度:0)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6556,'2024-08-29 23:23:50',34,'talk_title---->The Development of E.SUN BANK in GenAI\r\nGenAI Adoption in E.SUN BANK(字串長度:68)---->(字串長度:0)'),(6557,'2024-08-29 23:23:50',72,'company---->MSI(字串長度:3)---->MSI 微星科技 (字串長度:17)```position---->Platform Software Solution Div. AVP (Assistant Vice President)(字串長度:62)---->Platform Software Solution Div. Senior AVP(字串長度:42)```company_for_agenda---->(字串長度:0)---->MSI 微星科技(字串長度:16)```position_for_agenda---->(字串長度:0)---->研發資深協理(字串長度:18)'),(6558,'2024-08-29 23:23:50',54,'name2---->(字串長度:0)---->Robe Yang(字串長度:9)```anchor---->speaker-54(字串長度:10)---->robe-yang(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->廣達電腦股份有限公司(字串長度:30)---->Quanta Computer Inc.(字串長度:20)```position---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)---->BU12. Senior Director.(字串長度:22)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->處長 (字串長度:7)---->資深處長 (字串長度:13)'),(6559,'2024-08-30 15:03:17',72,'desc---->\n(字串長度:1)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)'),(6560,'2024-08-30 15:03:17',43,'desc---->(字串長度:0)---->*AI PC(字串長度:6)'),(6561,'2024-08-30 15:03:17',45,'name2---->(字串長度:0)---->Shuen-Huei Guan(字串長度:15)```anchor---->speaker-45(字串長度:10)---->shuen-huei-guan(字串長度:15)```talk_title---->(字串長度:0)---->Orchestrating the Future: AI Innovations in Music Streaming \n\n(字串長度:62)```talk_title2---->(字串長度:0)---->協奏個未來：AI 創新如何重塑音樂串流(字串長度:51)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->科科科技股份有限公司核心技術研發中心(字串長度:54)---->KKCompany Technologies(字串長度:22)```position---->執行副總經理(字串長度:18)---->Chief Scientist, Chief Scientist Office(字串長度:39)```desc---->(字串長度:0)---->For individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.(字串長度:329)```me_desc---->(字串長度:0)---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\n\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:901)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->(字串長度:0)---->Chief Scientist(字串長度:15)```website---->(字串長度:0)---->https://about.me/drakeguan(字串長度:26)'),(6562,'2024-08-30 15:03:17',46,'desc---->在本次演講中，我將介紹我們的 AI 之旅和路線圖，重點關注 NLP 和電腦視覺任務，試圖找出它們之間的聯繫，並描繪出主要進步可能來自何處。我還將介紹一些企業人工智慧應用用例並分享我們的實踐。最後，我對LLM和GenAI未來將為企業帶來什麼發展發表自己的看法。\r\n人工智慧的美妙之處在於它的不可預測性（這不是一個錯誤，而是一個功能，因為一切都是建立在機率之上的）。所有企業都應該預料到自己的計劃可能會因為一些性能比預期更好的新模型（如 Llama3 或 GPT5）或完全不同的、意想不到的東西而泡湯。新的模型、方法、資料集或伺服器可能會破壞原先場景。始終期待 LLM/GenAI 中出現意想不到的新發展。\r(字串長度:818)---->(字串長度:0)'),(6563,'2024-08-30 15:03:17',49,'desc---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)---->*AI Server and AI AMR Robot(字串長度:27)'),(6564,'2024-08-30 15:03:17',51,'desc---->(字串長度:0)---->For enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.(字串長度:269)'),(6565,'2024-08-30 15:03:17',55,'desc---->(字串長度:0)---->We will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.(字串長度:168)'),(6566,'2024-08-30 16:18:25',55,'name2---->(字串長度:0)---->Wei Lin(字串長度:7)```anchor---->speaker-55(字串長度:10)---->wei-lin(字串長度:7)```talk_title---->(字串長度:0)---->Breaking Barriers in Generative AI Deployment: Phison  aiDAPTIV(字串長度:63)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->群聯電子股份有限公司(字串長度:30)---->Phison(字串長度:6)```position---->技術長(字串長度:9)---->CTO(字串長度:3)```desc---->We will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.(字串長度:168)---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs. \n(字串長度:865)```me_desc---->(字串長度:0)---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide. Dr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.(字串長度:810)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6567,'2024-08-30 18:41:41',4,'name2---->(字串長度:0)---->T.H. Tung(字串長度:9)```anchor---->speaker-4(字串長度:9)---->t.h.-tung(字串長度:9)```talk_title---->(字串長度:0)---->AI-Driven Revolution: Opportunities for Taiwan\'s Industries(字串長度:59)```talk_title2---->(字串長度:0)---->AI驅動革命 台灣產業的機會(字串長度:36)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->和碩聯合科技股份有限公司(字串長度:36)---->Pegatron Corporation(字串長度:20)```position---->董事長(字串長度:9)---->Chairman(字串長度:8)```me_desc---->童子賢先生是和碩集團創辦人與董事長，也是台北市電腦公會榮譽理事長。和碩集團從事代工、設計、製造與服務等多元化業務，同時將觸角擴及金屬機殼、隱形眼鏡等不同領域。童子賢先生自台北科技大學畢業後即進入宏碁電腦工作，於1989年與謝偉琦、廖敏雄、及徐世昌四人共同創立華碩電腦，在華碩時期他帶領團隊發展筆記型電腦品牌，其後華碩筆電不但榮登台灣市佔率第一名，更成為全球前十大筆記型電腦品牌。於2007年，華碩與和碩宣布分家，童子賢先生進入和碩擔任董事長暨策略長，和碩聯合科技以強大的設計實力與經驗，在電子代工產業獨樹一格，運用所擁有的2,216億台幣淨資產，讓全球所有據點共約16萬名的員工，持續在這個世界級舞台發光發熱，2023年的合併營收達新台幣1兆2,568億元。(字串長度:937)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6568,'2024-08-30 18:41:42',31,'talk_title---->(字串長度:0)---->Intelligent Leap: The Transformative Journey of Taiwan AI Academy(字串長度:65)```talk_title2---->(字串長度:0)---->智慧躍升: 台灣人工智慧學校的蛻變之路(字串長度:53)'),(6569,'2024-09-03 10:49:18',22,'company---->(字串長度:0)---->國家科學及技術委員會(字串長度:30)```position---->(字串長度:0)---->主任委員(字串長度:12)```company_for_agenda---->(字串長度:0)---->國家科學及技術委員會(字串長度:30)```position_for_agenda---->(字串長度:0)---->主委(字串長度:6)'),(6570,'2024-09-03 10:49:18',23,'company---->(字串長度:0)---->長庚大學人工智慧學系(字串長度:30)```position---->(字串長度:0)---->教授(字串長度:6)```company_for_agenda---->(字串長度:0)---->長庚大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(6571,'2024-09-03 10:49:18',30,'lecture_type---->陳昇瑋紀念講座(字串長度:21)---->(字串長度:0)'),(6572,'2024-09-03 10:49:18',34,'name2---->(字串長度:0)---->Shih-Chen Huang(字串長度:15)```anchor---->speaker-34(字串長度:10)---->shih-chen-huang(字串長度:15)```talk_title---->(字串長度:0)---->The Development of E.SUN BANK in GenAI(字串長度:38)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->玉山銀行(字串長度:12)---->Intelligent Banking Division\nE.SUN BANK(字串長度:39)```position---->總工程師(字串長度:12)---->Executive Vice President(字串長度:24)```me_desc---->(字串長度:0)---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1303)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->(字串長度:0)---->資料科學總監(字串長度:18)'),(6573,'2024-09-03 10:49:18',72,'desc---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\n*AI PC\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\n*AI Server and AI AMR Robot\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\n(字串長度:1040)'),(6574,'2024-09-03 10:49:18',43,'desc---->*AI PC(字串長度:6)---->(字串長度:0)'),(6575,'2024-09-03 10:49:18',46,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->叡揚資訊股份有限公司技術服務總處暨創新研發中心(字串長度:69)---->Galaxy Software Services Corp.(字串長度:30)```position---->技術長(字串長度:9)---->Innovation Research Center, CTO(字串長度:31)```desc---->(字串長度:0)---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\n(字串長度:722)```me_desc---->林縣城先生目前任職叡揚資訊技術長，在此之前擔任執行長資深特助職務，曾任職財團法人資訊工業策進會中心主任、及資拓宏宇技術副總經理職務，主要負責技術研發技術研發及管理、業務發展及部門管理等工作。\r\n林先生具備超過30年資訊技術研發、資訊系統發展和專案管理經驗，曾領導和管理多個資訊技術研發計畫及資訊系統開發計畫，研發計畫主要包括知識庫系統技術研發計劃、排程系統技術研發計劃、推薦引擎研發計劃及RFID 中介軟體研發計畫等；資訊系統開發計畫主要包括知識庫系統發展工具、台灣鐵路局列車排點系統、航機負載平衡系統及高雄海關e-Seal系統等。\r\n林先生的專長領域包括人工智慧與知識庫技術、排程系統技術、資料探勘及文字探勘、企業應用軟體規劃、策略資訊系統規劃、軟體開發及架構設計、軟體工程專案管理、RFID技術應用、雲端運算、行動運算、記億體運算及商業智慧、技術研發及管理。\r(字串長度:1102)---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\n(字串長度:1037)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6576,'2024-09-03 10:49:18',49,'desc---->*AI Server and AI AMR Robot(字串長度:27)---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)'),(6577,'2024-09-03 10:49:18',50,'name2---->(字串長度:0)---->Kevin Hsu(字串長度:9)```anchor---->speaker-50(字串長度:10)---->kevin-hsu(字串長度:9)```talk_title---->(字串長度:0)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)```talk_title2---->(字串長度:0)---->水冷不要. 實現超低能耗專屬大型語言模型NPU IP (字串長度:63)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->Inventec 英業達(字串長度:18)---->Inventec AI center(字串長度:18)```position---->AI晶片設計處資深處長(字串長度:29)---->Senior Director(字串長度:15)```company2---->(字串長度:0)---->AI on Chip of AI Center(字串長度:23)```me_desc---->(字串長度:0)---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:892)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6578,'2024-09-03 10:49:18',51,'desc---->For enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.(字串長度:269)---->(字串長度:0)'),(6579,'2024-09-03 10:49:18',52,'name---->曾志光(字串長度:9)---->徐達勇(字串長度:9)```position---->總裁(字串長度:6)---->應用工程總監(字串長度:18)```position_for_agenda---->總裁(字串長度:6)---->應用工程總監(字串長度:18)'),(6580,'2024-09-03 10:49:18',54,'talk_title---->(字串長度:0)---->From no-code, low-code to full-code AI model DevOps: QOCA aim, an AI Medical Platform(字串長度:85)```talk_title2---->(字串長度:0)---->從 No-code 到 Full-code AI 模型開發與維運解決方案：廣達人工智慧醫療雲解決方案(字串長度:104)```desc---->(字串長度:0)---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\r(字串長度:804)```me_desc---->(字串長度:0)---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\r\n \r\nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1474)'),(6581,'2024-09-03 10:49:18',55,'desc---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs. \n(字串長度:865)---->The emergence of generative artificial intelligence (AI) at the end of 2022 marked a significant evolution, as these technologies increasingly integrate into daily human activities. The scale of generative models has been expanding annually at an exponential rate, with architecture advancements evolving from single-model frameworks to complex multi-expert systems. As industries across the board incorporate generative AI into their operational processes, concerns regarding information security and controllability have come to the forefront. However, the high deployment costs associated with generative AI technologies pose a significant barrier to widespread adoption. In response, Phison has introduced the aiDAPTIV+ initiative, a revolutionary approach that leverages NAND Flash to expand High Bandwidth Memory (HBM), thereby substantially reducing costs.(字串長度:863)```me_desc---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide. Dr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.(字串長度:810)---->Dr. Wei Lin serves as the Chief Technology Officer at Phison Electronics, where he oversees technological and product planning, AI technology development, and the development of algorithms related to NAND Flash Memory physics. Dr. Lin has invented over 200 NAND Flash-related patents and has authored numerous scholarly articles in the field. The integrated circuits produced using his patented inventions have exceeded three billion units worldwide.\r\n\r\nDr. Lin earned his Ph.D. from the National Chiao Tung University in Electronics. Previously, he held positions as the CTO and Vice President of CoreStorage, a subsidiary of Phison. He is currently an adjunct assistant professor at National Yang Ming Chiao Tung University, where he collaborates on industry-academic partnerships to advance storage technology.\r\n(字串長度:815)'),(6582,'2024-09-03 10:49:18',60,'talk_title---->Taiwan government AI designer(字串長度:29)---->The Taiwan government\'s challenges and unexpected word-of-mouth success in introducing AI(字串長度:89)```talk_title2---->(字串長度:0)---->臺灣政府導入AI的地雷經驗與驚喜口碑(字串長度:50)```desc---->(字串長度:0)---->Ministry of Education\'s AI English Speaking Inspirational Game\r\nMinistry of the Interior\'s Big Data AI Code Generation\r\nMinistry of the Environment AI Air Pollution Tracing\r\nMinistry of Agriculture AI Legislative Inquiry and Response\r\nMinistry of Digital Affairs Government Plan AI-Assisted Review\r\nPractical Experiences in Developing Government AI(字串長度:348)```me_desc---->(字串長度:0)---->Taiwan government AI designer\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:88)'),(6583,'2024-09-03 10:49:18',64,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6584,'2024-09-03 10:49:18',65,'position---->1.	Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:87)---->Cadence Application Engineering Director for Digital Implementation & Signoff Group (字串長度:84)'),(6585,'2024-09-03 10:54:06',2,'hide---->1(字串長度:1)---->0(字串長度:1)'),(6586,'2024-09-03 10:57:17',1,'hide---->1(字串長度:1)---->0(字串長度:1)'),(6587,'2024-09-03 11:39:41',1,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6588,'2024-09-03 11:39:41',2,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6589,'2024-09-03 11:39:41',3,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6590,'2024-09-03 11:39:41',25,'anchor---->yuh-jye-lee(字串長度:11)---->yuh-jye-lee-2(字串長度:13)'),(6591,'2024-09-03 13:34:54',102,'talk_title---->(字串長度:0)---->Secure AI Inference Techniques: A Tutorial(字串長度:42)'),(6592,'2024-09-03 13:34:54',9,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)'),(6593,'2024-09-04 08:42:16',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6594,'2024-09-04 08:42:16',8,'me_desc---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\r\n\r\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\r\n\r\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\r\n\r\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\r\n\r\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\r\n(字串長度:976)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\n(字串長度:967)'),(6595,'2024-09-04 08:42:17',11,'me_desc---->EDUCATION \r\nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\r\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \r\nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\r\n\r\nEXPERIENCE\r\nDirector General, National Center for High Performance Computing (2022-present)\r\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\r\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\r\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\r\n\r\nCURRENT MAJOR RESEARCH PROJECTS \r\n1.	Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \r\n2.	Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \r\n3.	Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \r\n4.	Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\r\n(字串長度:1587)---->EDUCATION \nPh.D. Mechanical Engineering, 1988, The Pennsylvania State University\nM.S. Mechanical Engineering, 1982, National Taiwan University, Taipei, Taiwan \nB.S. Mechanical Engineering, 1980, National Taiwan University, Taipei, Taiwan\n\nEXPERIENCE\nDirector General, National Center for High Performance Computing (2022-present)\nSenior Research Scientist, NASA Langley Research Center (1999-2022)\nPrincipal Software Developer, Planned Research Corporation, McLean, VA (1998-1999)\nSenior Research Scientist, High Technology Corporation, residence at NASA Langley Research Center (1988-1998)\n\nCURRENT MAJOR RESEARCH PROJECTS \n1.        Technical Lead, “Development of the CESE Numerical Framework for High-Fidelity Unstructured Mesh Turbulent Flow Simulations with High Performance Computing,” 2010-present – lead a cross-NASA center (Glenn and Langley) team for developmental work. \n2.        Technical Lead, “NASA Transition Prediction Code LASTRAC Development and Release,” 2001- present – focus on applying machine learning (AI) algorithms for numerical computations and laminar-turbulent transition prediction in the past few years. \n3.        Technical Lead, “Counterflowing Jet and Its Application in Supersonic Slender Configurations,” 2012-2017 – co-lead a cross-center (Marshall and Langley) team for experimental/numerical investigation of this innovative concept. \n4.        Technical Lead, “Research and Development of Hypersonic Chemically Reacting Flow Transition Prediction Tools,” 2017-present – lead a team for code development and flow physics exploration.\n(字串長度:1599)'),(6596,'2024-09-04 08:42:17',101,'lecture_type---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6597,'2024-09-04 08:42:17',22,'lecture_type---->Panel Discussion(字串長度:16)---->(字串長度:0)'),(6598,'2024-09-04 08:42:17',71,'talk_title---->(字串長度:0)---->Close Talk(字串長度:10)'),(6599,'2024-09-04 08:42:17',41,'anchor---->che-wei-chou(字串長度:12)---->che-wei-chou-2(字串長度:14)'),(6600,'2024-09-04 08:47:26',42,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6601,'2024-09-04 08:52:57',57,'name2---->Kai-Cheng Hsu(字串長度:13)---->Edward Kai-Cheng Hu(字串長度:19)```anchor---->kai-cheng-hsu(字串長度:13)---->edward-kai-cheng-hu(字串長度:19)```talk_title---->(字串長度:0)---->Agentic LLM and Smart Healthcare(字串長度:32)```talk_title2---->(字串長度:0)---->代理大型語言模型與智慧醫療(字串長度:39)```desc---->(字串長度:0)---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\r\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\r\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\r(字串長度:1503)'),(6602,'2024-09-04 10:49:03',100,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6603,'2024-09-04 10:49:03',33,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(6604,'2024-09-04 10:49:04',62,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6605,'2024-09-04 17:38:53',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\r\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\r\nComputer, he led a team to develop a laptop computer brand which later\r\nearned highest market share in Taiwan and made its name to the top 10\r\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\r\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\r\nemploys strong design capability and abundant experiences to develop\r\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\r\nbillion and the outstanding performance of 160,000 Pegatron employees\r\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\r\n2023.(字串長度:731)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6606,'2024-09-04 17:38:53',14,'me_desc---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\r\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\r\n\r\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\r\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\r\n\r\n(字串長度:677)---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\n\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\n\n(字串長度:671)'),(6607,'2024-09-04 17:38:53',9,'me_desc---->EDUCATION\r\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\r\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\r\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\r\n\r\nPROFESSIONAL POSITIONS\r\n\r\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\r\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\r\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\r\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\r\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\r\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\r\n•         Director, Academia Sinica Computing Center (2006-08)\r\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\r\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\r\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\r\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\r\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\r\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\r\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\r\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\r\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\r\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\r\n•         Associate Editor, ACM Computing Surveys (2018-21)\r\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\r\n\r\nRESEARCH INTERESTS\r\n•        Multimedia Information Processing\r\n•        Computer Vision\r\n•        Artificial Intelligence\r\n\r\nHONORS & AWARDS\r\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\r\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\r\n•        IEEE Fellow (from 2013).\r\n•        TECO award, TECO Science Foundation (2016).\r\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\r\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2585)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)'),(6608,'2024-09-04 17:38:53',29,'me_desc---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\r\n\r\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \r\n\r\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\r\n\r\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2142)---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\n\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \n\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\n\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2136)'),(6609,'2024-09-04 17:38:53',34,'company---->Intelligent Banking Division\r\nE.SUN BANK(字串長度:40)---->Intelligent Banking Division\nE.SUN BANK(字串長度:39)```me_desc---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\r\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\r\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1305)---->Dr. Shih-Chen Huang is currently the Director of Data Science at E.SUN Bank’s Intelligent Banking Division. He holds a Ph.D. in Computer Science from New York University and a Bachelor’s degree in Computer Science and Information Engineering from National Taiwan University. Dr. Huang has previously worked at AT&T Bell Labs in the United States and served as an adjunct assistant professor in the Department of Business Administration at National Central University.\nWith extensive experience in information architecture and data governance, Dr. Huang has played a key role as the lead architect in E.SUN Bank’s core banking transformation and credit card system transformation projects. He successfully transitioned the mainframe systems to a cloud-native microservices-based distributed systems\n黃仕鎮博士現任玉山銀行智能金融處資料科學總監，擁有紐約大學電腦科學博士學位及台灣大學資訊工程學士學位。他曾在美國AT&T貝爾實驗室任職，並在中央大學企管系擔任兼任助理教授。黃博士在資訊架構與資料治理領域擁有豐富的經驗，並在玉山銀行的轉核計畫及信用卡轉核計畫中擔任主要架構師角色，成功將大型主機系統轉換為雲原生微服務架構的新一代分散式系統。(字串長度:1303)'),(6610,'2024-09-04 17:38:54',72,'desc---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\r\n*AI PC\r\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\r\n*AI Server and AI AMR Robot\r\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\r\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\r\n(字串長度:1046)---->Artificial Intelligence (AI) is rapidly transforming the landscape of technology and society. This presentation will delve into the profound impact of AI development on both individual users and professionals across various industries.\n*AI PC\nFor individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.\n*AI Server and AI AMR Robot\nFor enterprise users, MSI’s AI server platforms empower businesses to achieve efficiency gains while handling more compute-intensive workloads. MSI’s AI AMR Robot solutions showcase MSI\'s commitment to innovation in the fields of smart manufacturing and automation.\nWe will explore how AI is revolutionizing the way we work, live, and interact, and discuss the challenges and opportunities presented by this transformative technology.\n(字串長度:1040)```me_desc---->Harry Kao is a senior executive at Micro-Star International (MSI), serving as the AVP of the Platform Software Solution Div. He plays a significant role in the development of AI PCs and has made the idea of pre-installing proprietary language models on MSI AI PCs a reality, which is unique in the industry.\r\nUnder Harry Kao\'s leadership, MSI is fully committed to addressing the rise of AI technology and is dedicated to integrating these technologies into its products to enhance user experience and product performance. He pointed out that AI will become a turning point in the personal computer industry and anticipates a significant increase in market demand for AI PCs in the future.\r\n\r\n高士方是微星科技（MSI）的一位高階管理人員，擔任平台軟體研發處協理。他在AI PC的開發上扮演著重要角色，並讓微星AI PC預載自家開發的語言模型的想法得以實現，這在業界中是獨一無二的。\r\n\r\n在高士方的領導下，微星科技正全力以赴應對AI技術的崛起，並致力於將這些技術整合到其產品中，以提升用戶體驗和產品性能。他指出，AI將成為個人電腦產業的一個轉捩點，並預計未來AI PC的市場需求將顯著增加。(字串長度:1238)---->Harry Kao is a senior executive at Micro-Star International (MSI), serving as the AVP of the Platform Software Solution Div. He plays a significant role in the development of AI PCs and has made the idea of pre-installing proprietary language models on MSI AI PCs a reality, which is unique in the industry.\nUnder Harry Kao\'s leadership, MSI is fully committed to addressing the rise of AI technology and is dedicated to integrating these technologies into its products to enhance user experience and product performance. He pointed out that AI will become a turning point in the personal computer industry and anticipates a significant increase in market demand for AI PCs in the future.\n\n高士方是微星科技（MSI）的一位高階管理人員，擔任平台軟體研發處協理。他在AI PC的開發上扮演著重要角色，並讓微星AI PC預載自家開發的語言模型的想法得以實現，這在業界中是獨一無二的。\n\n在高士方的領導下，微星科技正全力以赴應對AI技術的崛起，並致力於將這些技術整合到其產品中，以提升用戶體驗和產品性能。他指出，AI將成為個人電腦產業的一個轉捩點，並預計未來AI PC的市場需求將顯著增加。(字串長度:1233)'),(6611,'2024-09-04 17:38:54',45,'talk_title---->Orchestrating the Future: AI Innovations in Music Streaming \r\n\r\n(字串長度:64)---->Orchestrating the Future: AI Innovations in Music Streaming \n\n(字串長度:62)```me_desc---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\r\n\r\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:903)---->As the Chief Scientist at KKCompany Technologies, Dr. Shuen-Huei \"Drake\" Guan leads initiatives to build and nurture strategic research partnerships across the industry and academia. With over a decade of experience in video streaming, recommender systems, and computer graphics, Dr. Guan has been instrumental in establishing the company\'s technological foundations. He continues to actively engage in the tech community through his involvement in PyCon Taiwan and Taiwan Multimedia Tech meetup.\n\n作為科科科技（KKCompany Technologies）的首席科學家，官順暉博士致力於建立並維護公司與業界及學術界的研究合作關係。他擁有十多年影音串流、推薦系統及計算機圖學的學術與業界經驗，並在奠定公司的技術基礎方面發揮了重要作用。他還積極參與 PyCon Taiwan 及 Taiwan Multimedia Tech meetup 等技術社群的活動。(字串長度:901)'),(6612,'2024-09-04 17:38:54',46,'desc---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\r\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\r\n(字串長度:724)---->In this talk, I will cover our AI Journey and roadmap, focused in NLP and computer vision tasks, attempting to draw connections between them, and paint a picture of where major advances might still come from. I will also present some enterprise AI application use-cases and share our practices. Finally, I will give my viewpoints for what LLM and GenAI will evolve for enterprises in the future.\nThe beauty of AI lies in its unpredictability. All enterprises should expect that their own plans can be thrown out with some new model that performs better than expected or something really different that is unanticipated. A new model, method, dataset, or server can disrupt the scene. Always expect the unexpected in GenAI.\n(字串長度:722)```me_desc---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\r\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\r\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\r\n(字串長度:1040)---->Mr. Lin currently works for the Galaxy Software Services Corp., served as CTO. Before that, he worked at the International Integrated Systems, Inc. (IISI), served as deputy general manager and the Institute for Information Industry (III), mainly responsible for technology development and management, business development and departmental management.\nMr. Lin has over 30 years of information technology development, information systems development and project management experiences, has led a number of information technology and management information systems research and development projects.\nLin\'s areas of expertise include artificial intelligence and knowledge base technology, scheduling systems technology, data mining and text mining, enterprise application software planning, strategic information systems planning, software development and architecture design, software engineering project management, RFID technology, cloud computing, mobile computing, remember one hundred million body computing and business intelligence.\n(字串長度:1037)'),(6613,'2024-09-04 17:38:54',49,'desc----><p>In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.</p>\r\n<p>在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。</p>(字串長度:1652)---->In this session, we will explore how an open platform for enterprise ready AI can address the fragmentation challenges of generative AI (GenAI) technology. While open-source projects have accelerated AI innovation, they have also led to the dispersion of technologies and tools, creating barriers for enterprises to adopt GenAI. Developers face numerous options and struggle with integration. To tackle this issue, we need a robust open-source collaboration framework to build and evaluate composable GenAI solutions. This framework will provide a systematic approach to grading and assessing GenAI based on performance, reliability, scalability, and flexibility, ensuring its suitability for enterprise needs. Additionally, this collaborative model will help address current challenges in retrieval-augmented generation (RAG) technology and provide an innovative platform for developers to unlock the full potential of GenAI.\n\n在此次演講中，我們將探討企業級AI的開放平台如何應對生成式人工智慧（GenAI）技術的碎片化挑戰。開源專案推動了AI的迅速創新，但也導致了技術和工具的分散，對企業採用GenAI形成障礙。開發人員面臨眾多選擇，難以整合。為解決這一問題，我們需要一個強大的開源協作框架，以建構和評估可組合的GenAI解決方案。這個框架將根據性能、可信度、可擴展性和彈性對GenAI進行分級和評估，確保其適合企業需求。同時，這種合作模式將有助於解決目前RAG（檢索增強生成）技術的挑戰，並為開發人員提供創新平台，發揮GenAI的最大潛力。(字串長度:1638)```me_desc----><p>An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience.</p>\r\n\r\n<p>美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。</p>\r\n(字串長度:693)---->An platform software architect at Intel Corporation, responsible for customer and ecosystem development of Intel Edge AI platforms, as well as a technical spokesperson. Has served as an instructor for deep learning courses in Taiwan’s Artificial Intelligence School Manager Program, Technical Leadership Program, Edge AI Program, and at universities, with extensive industry experience.\n\n美商英特爾公司平台研發協理，負責 Intel Edge AI 平台的客戶以及生態系統開發以及技術發言人。擔任過台灣人工智慧學校經理人班，技術領袖班與 Edge AI 專班以及大專院校的深度學習課程業師，具有豐富的產業經驗。\n(字串長度:676)'),(6614,'2024-09-04 17:38:54',50,'talk_title---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\r\n(字串長度:111)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)```me_desc---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\r\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:893)---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:892)'),(6615,'2024-09-04 17:38:54',51,'me_desc---->Dr. Rock Tsai, holding a Ph.D. in Management Science and Engineering from Central South University, China, currently serves as Chief Information Officer at Taiwan Mobile and Chairman of the Information Management Association (IMA). He started programming in elementary school and took on freelance projects in junior high. In the 1990s, as a freshman at National Yang Ming Chiao Tung University’s Department of Computer Science, he developed a game called “Face to Face,” which took Asia by storm, selling close to 100,000 copies. \r\nDr. Tsai has previously served as Senior VP at HSBC Bank (China), Group Chief Information Officer at Sinyi Realty, and Head of Technology at DBS Bank (Taiwan). He received the awards of “Most Valuable CIO in China” in 2011, “Distinguished CIO in China” in 2012, “Outstanding CIO in Taiwan” in 2017, and IMA’s “Outstanding Information Director” in 2022.  \r\nHe joined Taiwan Mobile in February 2022, taking on the significant responsibility of managing the group’s IT transformation. (字串長度:1041)---->Dr. Rock Tsai, holding a Ph.D. in Management Science and Engineering from Central South University, China, currently serves as Chief Information Officer at Taiwan Mobile and Chairman of the Information Management Association (IMA). He started programming in elementary school and took on freelance projects in junior high. In the 1990s, as a freshman at National Yang Ming Chiao Tung University’s Department of Computer Science, he developed a game called “Face to Face,” which took Asia by storm, selling close to 100,000 copies. \nDr. Tsai has previously served as Senior VP at HSBC Bank (China), Group Chief Information Officer at Sinyi Realty, and Head of Technology at DBS Bank (Taiwan). He received the awards of “Most Valuable CIO in China” in 2011, “Distinguished CIO in China” in 2012, “Outstanding CIO in Taiwan” in 2017, and IMA’s “Outstanding Information Director” in 2022.  \nHe joined Taiwan Mobile in February 2022, taking on the significant responsibility of managing the group’s IT transformation. (字串長度:1039)'),(6616,'2024-09-04 17:38:54',54,'desc---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\r\n(字串長度:805)---->In recent years, the rapid development of artificial intelligence (AI) hardware and software technologies has made the development and utilization of data to train AI models a significant topic. Training AI models not only requires clean domain data and expertise but is also closely related to programming skills. Since AI models can be applied across various industries, familiarity with industry-specific knowledge is very important. This lecture will introduce Quanta Computer\'s AI Medical Platform (QOCA aim), showcasing how AI and IT experts collaborate with medical specialists from various fields to fast develop more AI models applicable to different industries. These AI models are then quickly integrated into business operations to help enhance efficiency and service quality across sectors.\n(字串長度:804)```me_desc---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\r\n \r\nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1474)---->Dr. Robe Yang is Senior Director at Quanta Computer Inc, he joined Quanta in 2011 and was promoted to Senior Director in 2024. Since joining the company, he has held various roles including leading the development of hospital project collaborations for healthcare solutions and working as a senior engineer on the digital asset management system for a Japanese publishing company. Currently, Dr. Yang serves as the QOCA air product R&D director at Quanta, overseeing the development of cutting-edge AI solutions for smart medicine and industries.\n \nDr. Yang holds a Ph.D. from the Department of Information Management at National Taiwan University. He served as an information engineer, systems network leader, and deputy director in National Taiwan University Hospital\'s information department. In this role, Dr. Yang was responsible for overseeing the hospital information system transformation project, which included the software system architecture and hardware solutions for migrating the information system from an IBM mainframe to an open systems architecture. This initiative allowed for a significant reduction in maintenance costs and improved operational efficiency. With an extensive background in healthcare information systems, containerized architecture, and cloud computing architecture, Dr. Yang’s research interests now focus on developing and implementing machine learning and deep learning DevOps solutions for smart medicine and various industries.(字串長度:1472)'),(6617,'2024-09-04 17:38:54',57,'desc---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\r\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\r\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\r\n(字串長度:1504)---->Abstract: This presentation delves into the forefront of medical artificial intelligence, particularly focusing on the role of agentic Large Language Models (LLMs) in transforming healthcare. These advanced models exhibit agency by autonomously generating realistic and contextually appropriate medical data and interventions, marking a shift from theoretical exploration to tangible, real-world applications. This evolution emphasizes the need for a unified, interdisciplinary approach.\nThe session starts with an analysis of how agentic LLMs have been seamlessly integrated into existing healthcare frameworks, notably enhancing the accuracy and efficiency of disease prognosis and diagnosis. Specific case studies, such as the use of these models in diagnosing acute ischemic stroke, highlight how agentic LLMs are instrumental in critical health domains. Acute ischemic stroke, a leading cause of disability and mortality worldwide, requires rapid and accurate diagnosis to initiate timely intervention, which can significantly reduce long-term disabilities and improve outcomes. This illustrates the crucial role of agentic LLMs in improving diagnostic accuracy and refining medical decision-making processes.\nThe objective of this presentation is to provide a rigorous academic perspective on the potential and current applications of agentic LLMs in healthcare. It aims to foster a comprehensive understanding of their impact on the future trajectory and developmental prospects of medical AI.\n(字串長度:1501)'),(6618,'2024-09-04 17:38:54',59,'desc---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\r\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\r\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1033)---->Jubo is a leading SaaS provider for nursing information systems. Its solutions have been successfully implemented in over 1,200 long-term care facilities across Taiwan, Canada, and the United States. Dr. Kang, the founder of Jubo, will introduce four key AI technologies embedded in Jubo’s solution, each designed to support and enhance the work of nursing professionals.\nThe first AI focuses on detecting abnormalities in vital signs, ensuring timely interventions. The second AI is dedicated to wound detection, aiding in accurate and early diagnosis. The third AI automatically summarizes nursing records between shifts, streamlining communication and reducing errors. The fourth AI aims to reduce the time nurses spend on family communication, allowing them to focus more on patient care.\nIn his presentation, Dr. Kang will share insights from both an academic and commercial perspective. He will discuss his experiences in integrating AI into nursing practice and the impact of these technologies on the healthcare industry.(字串長度:1031)```me_desc---->Dr. Jessy Kang is the founder and CEO of Jubo, a leading SaaS provider for nursing information systems. With a Ph.D. in Robotics and AI from Stanford University, Dr. Kang has over fifteen years of experience in applying AI to healthcare. His innovations are used in over 1,200 long-term care facilities across Taiwan, Canada, and the U.S.\r\nBefore Jubo, Dr. Kang was a professor at the University of Alberta and National Taiwan University, where he contributed significantly to AI and robotics. He holds 23 patents and is dedicated to integrating AI to enhance nursing and patient care.(字串長度:585)---->Dr. Jessy Kang is the founder and CEO of Jubo, a leading SaaS provider for nursing information systems. With a Ph.D. in Robotics and AI from Stanford University, Dr. Kang has over fifteen years of experience in applying AI to healthcare. His innovations are used in over 1,200 long-term care facilities across Taiwan, Canada, and the U.S.\nBefore Jubo, Dr. Kang was a professor at the University of Alberta and National Taiwan University, where he contributed significantly to AI and robotics. He holds 23 patents and is dedicated to integrating AI to enhance nursing and patient care.(字串長度:584)'),(6619,'2024-09-04 17:38:54',60,'desc---->Ministry of Education\'s AI English Speaking Inspirational Game\r\nMinistry of the Interior\'s Big Data AI Code Generation\r\nMinistry of the Environment AI Air Pollution Tracing\r\nMinistry of Agriculture AI Legislative Inquiry and Response\r\nMinistry of Digital Affairs Government Plan AI-Assisted Review\r\nPractical Experiences in Developing Government AI(字串長度:348)---->Ministry of Education\'s AI English Speaking Inspirational Game\nMinistry of the Interior\'s Big Data AI Code Generation\nMinistry of the Environment AI Air Pollution Tracing\nMinistry of Agriculture AI Legislative Inquiry and Response\nMinistry of Digital Affairs Government Plan AI-Assisted Review\nPractical Experiences in Developing Government AI(字串長度:343)```me_desc---->Taiwan government AI designer\r\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:89)---->Taiwan government AI designer\n以體驗設計、以人為中心的：政府AI設計師\r\n(字串長度:88)'),(6620,'2024-09-04 17:38:54',64,'talk_title---->(字串長度:0)---->Multimodal RAG Framework (字串長度:25)```talk_title2---->(字串長度:0)---->多模態的 RAG 架構(字串長度:23)```position---->技術副總(字串長度:12)---->Cloud AI+ Center, VP(字串長度:20)```position2---->(字串長度:0)---->技術副總(字串長度:12)```website---->(字串長度:0)---->https://www.facebook.com/chengho.wu?locale=zh_TW(字串長度:48)'),(6621,'2024-09-04 17:38:54',65,'talk_title---->Intelligent System Design for Optimized IC Design (字串長度:50)---->Intelligent System Design for Optimized IC Design(字串長度:49)```me_desc---->(字串長度:0)---->1.Cadence Application Engineering Director for Digital Implementation & Signoff Group to support Taiwan customer success in technology and tool application.\n2.More than 20+ years working experiences in IC Design field with major focus on STA/RC Extraction/IR closure and signoff till 3nm process node.\n3.In recent years, he supports customer in successfully applying the latest intelligence AI technology for rapid IR design closure to achieve optimized performance in IC design. (字串長度:480)'),(6622,'2024-09-04 17:38:54',68,'me_desc---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \r\nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\r\n\r\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1047)---->Allen Own is the CEO of DEVCORE and the chairman of the Association of Hackers in Taiwan (HITCON). Allen is experienced in hacker technique research and cybersecurity consulting, helping governments and enterprises eliminate defense blind spots and bridge the information asymmetry gap with attackers. \nHe has previously served as a lecturer and consultant in academic and government organizations, and is passionate about community building and sharing knowledge to cultivate more cybersecurity talents. His expertise includes Red Teaming, penetration testing, enterprise cybersecurity risk assessments, and security training.\n\n戴夫寇爾 DEVCORE 執行長、台灣駭客協會 HIT 理事長。具備多年駭客技術研究及資安輔導經驗，協助政府及企業化解防禦盲點，消除與攻擊方的資訊不對稱。曾任學術及政府單位專任講師及顧問，並熱衷於社群經營及分享，培育更多資安人才。專長於紅隊演練 (Red Team)、滲透測試、企業資安風險評估、專業教育訓練。(字串長度:1044)'),(6623,'2024-09-04 17:38:54',69,'me_desc---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \r\n\r\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1194)---->Dr. Shi-Cho Cha received the B.S. and Ph.D. degrees in information management from National Taiwan University, in 1996 and 2003, respectively. He is currently a professor and department chair with the Department of Information Management, National Taiwan University of Science and Technology (NTUST), where he has been a faculty member since 2006. He is also the director of the information security center, NTUST (TWISC@NTUST).  He is a certified PMP, CISSP, CSSLP, CCFP, CISA, and CISM. Between 2003 and 2006, he was employed at PricewaterhouseCoopers in Taiwan, assisting numerous prominent firms and government bodies in developing their information security management systems. After joining the National Taiwan University of Science and Technology, he helped several critical governmental systems to evaluate and enhance their security. He also carried out numerous National Science Council and industry-academia collaboration projects. \n\nHis research currently focuses on the security and privacy of blockchain applications, security and privacy in IoT and IIoT, risk management in information security, zero trust architecture, and the mechanisms of authentication and access control.(字串長度:1192)'),(6624,'2024-09-04 17:41:56',64,'position_for_agenda---->技術副總(字串長度:12)---->Cloud AI+ Center, VP(字串長度:20)'),(6625,'2024-09-06 16:19:53',102,'name2---->(字串長度:0)---->Chen-Mou Cheng(字串長度:14)```anchor---->speaker-102(字串長度:11)---->chen-mou-cheng(字串長度:14)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->長庚大學人工智慧學系(字串長度:30)---->Chang Gung University(字串長度:21)```position---->教授(字串長度:6)---->Professor, Department of Artificial Intelligence(字串長度:48)```desc---->(字串長度:0)---->The intersection of LLM and privacy-preserving techniques is an emerging research field, particularly relevant for domain-specific applications.  There is increasing interest in methodologies that enable collaborative or multi-tenant training and inference while addressing both trust and efficiency concerns.  In this talk, I will give a high-level tutorial on several cryptographic techniques that may help the audience better understand the state-of-the-art research in the area of secure AI inference.(字串長度:505)```me_desc---->(字串長度:0)---->Chen-Mou Cheng received his B.S. and M.S. degrees in electrical engineering from National Taiwan University in 1996 and 1998, respectively, as well as his PhD in computer science from Harvard University in 2007.  He is currently a Professor at the Department of Artificial Intelligence, Chang Gung University.  Between 2022 and 2024, he was the Chief Cryptographer at BTQ Technologies, Inc., a publicly-listed Canadian startup focusing on building post-quantum cryptographic technologies and solutions for blockchain applications.  Between 2007 and 2022, he taught cryptography at National Taiwan University, Osaka University, and Kanazawa University.(字串長度:651)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6626,'2024-09-06 16:19:53',33,'talk_title---->(字串長度:0)---->Artificial Intelligent in Manufacturing for CNC machine (字串長度:56)```talk_title2---->(字串長度:0)----> AI智慧製造在CNC產業之應用(字串長度:36)```desc---->(字串長度:0)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)'),(6627,'2024-09-06 16:19:53',34,'talk_title---->The Development of E.SUN BANK in GenAI(字串長度:38)---->Generative AI applications in E.SUN Bank(字串長度:40)'),(6628,'2024-09-06 16:19:54',36,'name2---->(字串長度:0)---->Rick Wen(字串長度:8)```anchor---->speaker-36(字串長度:10)---->rick-wen(字串長度:8)```talk_title---->(字串長度:0)---->Unleashing AI Empowerment: a Game-Changing Ecosystem of Shared Innovation(字串長度:73)```talk_title2---->(字串長度:0)---->建構AI生態系，開創共贏新模式(字串長度:41)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Deloitte (字串長度:9)---->Deloitte(字串長度:8)```position---->執行副總(字串長度:12)---->Technology & Transformation(字串長度:27)```desc---->(字串長度:0)---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1541)```me_desc---->(字串長度:0)---->Rick Wen has been actively involved in digital strategy planning for government, financial, high-tech, and manufacturing industries, and contributed to smart city consulting and risk management projects. Rick also serves as the leader of Digital Transformation Services (DX), Energy, Resources & Industrials (ER&I), and Telecom, Media & Entertainment (TME) at Deloitte Taiwan.(字串長度:376)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://www2.deloitte.com/tw/tc/profiles/rickswen.html(字串長度:54)'),(6629,'2024-09-06 16:19:54',39,'talk_title---->(字串長度:0)---->AI for All: Evolving from AI Supply Chain to Value Chain　(字串長度:59)```talk_title2---->(字串長度:0)---->百工百業用AI：從供應鏈進化到價值鏈--用AIoT經營全球(字串長度:71)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->新漢智能系統股份有限公司(字串長度:36)---->NEXCOM(字串長度:6)```position---->董事長(字串長度:9)---->CEO office, CEO(字串長度:15)```me_desc---->(字串長度:0)---->Born in 1955, Lin Mao-chang graduated from the Department of Electrical Engineering at National Taiwan University and later earned a master\'s degree from the Institute of Management Science at National Chiao Tung University. He previously worked at Acer and Mitac Computers before founding Nexcom in 1992. He is currently the Chairman of Nexcom Group. Lin has been a long-time advocate for promoting open standards in Taiwan\'s smart manufacturing industry. As a pioneer in Taiwan’s early industrial computer industry, he has successfully led Nexcom’s transformation into an innovative entrepreneurial group, focusing on dual-axis digital transformation in AIoT and ESG net-zero transformation. In recognition of his achievements, Lin was awarded the Distinguished Achievement Award by the Chinese Institute of Engineers USA in 2018, and in 2023, he received the Asia Pacific Outstanding Enterprise Award.(字串長度:908)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->新漢智能系統股份有限公司(字串長度:36)```position_for_agenda---->(字串長度:0)---->董事長(字串長度:9)'),(6630,'2024-09-06 16:19:54',41,'talk_title---->(字串長度:0)----> Artificial Intelligent in Manufacturing for CNC machine (字串長度:57)```talk_title2---->(字串長度:0)---->AI智慧製造在CNC產業之應用(字串長度:35)```desc---->(字串長度:0)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)'),(6631,'2024-09-06 16:19:54',43,'name2---->(字串長度:0)---->DH Chen(字串長度:7)```anchor---->speaker-43(字串長度:10)---->dh-chen(字串長度:7)```talk_title---->(字串長度:0)---->Taxonomy of LLM Development and Applications in Industries(字串長度:58)```talk_title2---->(字串長度:0)---->大型語言模型之發展全貌與產業應用案例(字串長度:54)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->資拓宏宇(字串長度:12)---->International Integrated System, Inc.(字串長度:37)```position---->產品顧問(字串長度:12)---->Product Consultant, SIBD(字串長度:24)```desc---->(字串長度:0)---->We will share our view of recent LLM development from different aspects, like open-source vs. proprietary, use vs. training, application and product, and etc. We will also share several applications with scenario in industries based on our experience.(字串長度:251)```me_desc---->曾任台灣人工智慧學校(AIA)技術總監，帶領團隊幫助業界掌握AI技術與應用。在AIA之前，服務於宏達電與仁寶電腦。超過20年的科技產業經驗，包括技術研發、專案管理與產品行銷。(字串長度:237)---->With over 20 years of experience in the technology industry, I specialize in AI product consultancy at International Integrated System, Inc. (IISI). I previously served as the director of technology at Taiwan AI Academy (AIA), where I lead a team for lecture assistance and practice guiding. Prior to my experience at AIA, I worked at HTC and Compal Electronics for many years in various roles across R&D, project management, and product marketing.\n(字串長度:449)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->資拓宏宇(字串長度:12)```position_for_agenda---->(字串長度:0)---->產品顧問\n(字串長度:13)'),(6632,'2024-09-06 16:19:54',44,'name2---->(字串長度:0)---->Happy Lee(字串長度:9)```anchor---->speaker-44(字串長度:10)---->happy-lee(字串長度:9)```talk_title---->(字串長度:0)---->Retail AI: from recommendation to agent(字串長度:39)```can_playback---->(字串長度:0)---->V(字串長度:1)```position---->產品長(字串長度:9)---->CPO(字串長度:3)```me_desc---->(字串長度:0)---->CPO of 91APP,  Entrepreneur(字串長度:27)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```company_for_agenda---->91APP(字串長度:5)---->(字串長度:0)```website---->(字串長度:0)---->https://happylee.blog(字串長度:21)'),(6633,'2024-09-10 09:15:34',101,'lecture_type---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6634,'2024-09-10 09:15:35',49,'position---->Network and Edge Group, Intel / Platform Software Architect(字串長度:59)---->Network and Edge Group, Platform Software Architect(字串長度:51)'),(6635,'2024-09-10 09:15:35',53,'name---->林建誠 (字串長度:10)---->張歐佑豪(字串長度:12)```name2---->Ken Lin(字串長度:7)---->Simon Changou(字串長度:13)```anchor---->ken-lin(字串長度:7)---->simon-changou(字串長度:13)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->AMD台灣區商用業務處資深業務副總經理(字串長度:51)---->Taiwan Commercial, AMD(字串長度:22)```position---->Sr. Sales Director, Taiwan Commercial, AMD(字串長度:42)---->Sr. Solutions Architect(字串長度:23)```me_desc---->(字串長度:0)---->目前任職於 AMD 資深技術顧問，主要負責 AMD 資料中心EPYC處理器以及資料中心Instinct 加速器在台灣市場的技術支援及推廣。加入 AMD 之前先後在儲存設備，伺服器應用和 OCP 開放式機架等不同領域擔任過技術支援，售前規劃及產品規劃等職務，累積了多年系統整合相關經驗並熟悉儲存，虛擬化，超融合和雲端等應用。(字串長度:417)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->資深業務副總經理(字串長度:24)---->台灣區商用業務處 資深技術顧問(字串長度:43)'),(6636,'2024-09-10 09:15:35',67,'name2---->Jeremy Chiu(字串長度:11)---->Birdman(字串長度:7)```anchor---->jeremy-chiu(字串長度:11)---->birdman(字串長度:7)```talk_title---->(字串長度:0)---->The Secrets of AI: Unveiling the Keys to Success in AI Projects(字串長度:63)```talk_title2---->(字串長度:0)---->AI 圈內不能說的秘密：AI 專案成功背後的奧義(字串長度:60)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣駭客協會(字串長度:18)---->CyCraft(字串長度:7)```position---->顧問(字串長度:6)---->CTO and Co-founder(字串長度:18)```desc---->(字串長度:0)---->In the machine learning, there are a few closely guarded secrets that experts rarely discuss openly. One of the biggest is that we don\'t fully understand why deep neural networks (DNNs) work so well. The lack of theoretical consensus often forces us to treat AI as a black box, resorting to trial-and-error approaches when fine-tuning parameters. In this presentation, Birdman will take a casual yet insightful approach to guide the audience through the development of machine learning, current theoretical frameworks, and the dynamic systems of neural networks. He will also share his personal learning experiences and unique perspectives, hoping to inspire more people to explore the underlying truths behind machine learning algorithms. (This talk is a refined version from CraftCON 2024.) (字串長度:793)```me_desc---->(字串長度:0)---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1700)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6637,'2024-09-10 09:54:59',10,'name---->中華電信(字串長度:12)---->黃志雄(字串長度:9)```position---->(字串長度:0)---->技術長並擔任執行副總經理(字串長度:36)```company_for_agenda---->CHT(字串長度:3)---->中華電信(字串長度:12)```position_for_agenda---->(字串長度:0)---->技術長(字串長度:9)'),(6638,'2024-09-10 09:55:01',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)'),(6639,'2024-09-10 10:48:33',10,'company---->(字串長度:0)---->中華電信股份有限公司(字串長度:30)'),(6640,'2024-09-10 10:48:33',33,'talk_title---->Artificial Intelligent in Manufacturing for CNC machine (字串長度:56)---->(字串長度:0)```talk_title2----> AI智慧製造在CNC產業之應用(字串長度:36)---->(字串長度:0)```desc---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)---->(字串長度:0)'),(6641,'2024-09-10 10:48:34',105,'me_desc---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\r\nFormer Product Manager in ASUS and HTC\r\nFormer VP of Global business development at Meitu\r\nFormer Cheetah Mobile head of strategic partnerships \r\nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\r\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\r\nNational Chengchi University “Digital Advertising” Lecturer\r\nMobile Advertising  Lecturer at CMU NASA\r\n(字串長度:495)---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\nFormer Product Manager in ASUS and HTC\nFormer VP of Global business development at Meitu\nFormer Cheetah Mobile head of strategic partnerships \nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\nNational Chengchi University “Digital Advertising” Lecturer\nMobile Advertising  Lecturer at CMU NASA\n(字串長度:487)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6642,'2024-09-10 10:48:34',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6643,'2024-09-10 10:48:34',73,'desc---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\r\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\r\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\r\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:496)---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:493)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6644,'2024-09-10 10:48:34',74,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\n\n(字串長度:794)```lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6645,'2024-09-10 10:48:34',75,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6646,'2024-09-10 10:48:34',76,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6647,'2024-09-10 10:48:34',77,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6648,'2024-09-10 10:48:34',78,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6649,'2024-09-10 10:48:34',79,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6650,'2024-09-10 10:48:34',80,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6651,'2024-09-10 10:48:34',81,'lecture_type---->Flash Talk(字串長度:10)---->(字串長度:0)'),(6652,'2024-09-10 11:47:21',105,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6653,'2024-09-10 11:47:21',106,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6654,'2024-09-10 11:47:21',73,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6655,'2024-09-10 11:47:21',74,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6656,'2024-09-10 11:47:21',75,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6657,'2024-09-10 11:47:21',76,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6658,'2024-09-10 11:47:21',77,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6659,'2024-09-10 11:47:21',78,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6660,'2024-09-10 11:47:21',79,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6661,'2024-09-10 11:47:21',80,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6662,'2024-09-10 11:47:21',81,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6663,'2024-09-10 14:17:59',48,'company_for_agenda---->(字串長度:0)---->清華大學(字串長度:12)'),(6664,'2024-09-10 14:54:06',31,'talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6665,'2024-09-10 14:54:07',48,'name2---->(字串長度:0)---->Hung-Yu Kao(字串長度:11)```anchor---->speaker-48(字串長度:10)---->hung-yu-kao(字串長度:11)```company---->(字串長度:0)---->清華大學(字串長度:12)```position---->(字串長度:0)---->資訊學院教授(字串長度:18)```me_desc---->(字串長度:0)---->學歷\n2003 國立台灣大學電機工程系博士\n研究專長\n資料探勘\n資訊檢索\n機器學習\n經歷\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:259)```website---->(字串長度:0)---->http://myweb.ncku.edu.tw/~hykao/(字串長度:32)'),(6666,'2024-09-10 14:54:07',104,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6667,'2024-09-10 15:26:00',48,'can_playback---->X(字串長度:1)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->(字串長度:0)'),(6668,'2024-09-10 15:26:00',62,'company---->(字串長度:0)---->國立成大(字串長度:12)```position---->(字串長度:0)---->副教授(字串長度:9)'),(6669,'2024-09-10 15:26:00',104,'company---->(字串長度:0)---->TAIA(字串長度:4)```position---->(字串長度:0)---->Executive Director & CSO(字串長度:24)'),(6670,'2024-09-10 15:26:00',75,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6671,'2024-09-10 15:50:04',9,'lecture_type---->陳昇瑋紀念講座(字串長度:21)---->(字串長度:0)'),(6672,'2024-09-10 15:50:04',30,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)'),(6673,'2024-09-10 15:56:27',7,'company_for_agenda---->中央大學資工系(字串長度:21)---->中央大學(字串長度:12)'),(6674,'2024-09-10 15:56:28',62,'company---->國立成大(字串長度:12)---->成功大學(字串長度:12)'),(6675,'2024-09-10 15:59:08',48,'can_playback---->(字串長度:0)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6676,'2024-09-10 17:44:16',92,'talk_lang---->(字串長度:0)---->中文(字串長度:6)'),(6677,'2024-09-10 17:44:17',94,'talk_lang---->(字串長度:0)---->中文(字串長度:6)'),(6678,'2024-09-12 09:02:59',8,'me_desc---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。\n(字串長度:967)---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。(字串長度:962)'),(6679,'2024-09-12 09:03:00',70,'name2---->(字串長度:0)---->Yung-Hui Li(字串長度:11)```anchor---->speaker-70(字串長度:10)---->yung-hui-li(字串長度:11)```talk_title---->(字串長度:0)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->Hon Hai Research Institute(字串長度:26)```position---->(字串長度:0)---->Senior Director in AI Research Center(字串長度:37)```desc---->(字串長度:0)---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)```me_desc---->(字串長度:0)---->Dr. Yung-Hui Li is the founding director of AI Research Center of Hon Hai Research Institute, which is the core R&D center for the most critical technology of Foxconn\'s 3+3 transformation strategy. He received his B.S. degree from National Taiwan University in 1995, the M.S. degree from University of Pennsylvania in 1998, and the Ph.D. degree from school of computer science of Carnegie Mellon University in 2010. Before joining Foxconn, he served as a tenured professor in National Central University, Taoyuan, Taiwan. He has been served as industry chair, publicity chair or technical program committee member in various international conference. His research team has achieved outstanding results in the field of autonomous driving, consistently ranking at the top in global autonomous driving challenges. Their accomplishments include winning the Argoverse 1 & 2 Motion Forecasting Competition (CVPR 2023, 2024), winning the Waymo Sim Agents Challenge (CVPR 2024), and securing second place in the Waymo Motion Prediction Challenge (CVPR 2024). He also has won several gold or silver medals at Geneva International Exhibition of Inventions, Pittsburgh International Invention show (INPEX) and Silicon Valley International Invention Festival (SVIIF). His current research interests include Generative AI, Large Language Model, Multimodal Foundation Model and its Application in Computer Vision, Autonomous Driving, Smart Manufacturing and Biometrics. He has published over 100 papers in the fields of AI, deep learning, and machine learning, including top conferences such as CVPR, EMNLP, and AAAI, as well as top-ranking journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and ACM Computing Surveys.(字串長度:1868)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6680,'2024-09-12 09:03:00',10,'name---->黃志雄(字串長度:9)---->王景弘(字串長度:9)```company---->中華電信股份有限公司(字串長度:30)---->中華電信研究院(字串長度:21)```position---->技術長並擔任執行副總經理(字串長度:36)---->副院長(字串長度:9)```company_for_agenda---->中華電信(字串長度:12)---->中華電信研究院(字串長度:21)```position_for_agenda---->技術長(字串長度:9)---->副院長(字串長度:9)'),(6681,'2024-09-12 09:03:00',30,'name2---->(字串長度:0)---->Wei-Chao Chen(字串長度:13)```anchor---->speaker-30(字串長度:10)---->wei-chao-chen(字串長度:13)```talk_title---->(字串長度:0)---->Delivering Trust in the AI Era(字串長度:30)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->英業達股份有限公司(字串長度:27)---->Inventec Inc.(字串長度:13)```position---->數位長暨資深副總經理(字串長度:30)---->Chief Digital Officer & Senior Vice President(字串長度:45)```company2---->行品股份有限公司 (Skywatch Inc.) (字串長度:41)---->National Taiwan University(字串長度:26)```position2---->創辦人(字串長度:9)---->Visiting Professor(字串長度:18)```me_desc---->(字串長度:0)---->Wei-Chao Chen is the Chief Digital Officer at Inventec Corporation and the Chairman at Skywatch Inc.  Dr. Chen is also a Visiting Professor at the National Taiwan University.  His research interests include graphics hardware, computational photography, augmented reality, and computer vision.  Dr. Chen was the Chief AI Advisor at Inventec (2018-2020), a senior research scientist in Nokia Research Center at Palo Alto (2007-2009), and a 3D Graphics Architect in NVIDIA (2002-2006).  Dr. Chen received his MS in Electrical Engineering from National Taiwan University (1996) and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2002).(字串長度:664)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6682,'2024-09-12 09:03:00',51,'talk_title---->(字串長度:0)---->AI, the Age of It: A Great Opportunity for Taiwanese Businesses(字串長度:63)```talk_title2---->(字串長度:0)---->AI的它時代，臺灣企業的大機遇(字串長度:41)```desc---->(字串長度:0)---->Starting from the four major cycles of IT development, this outline explains how the era of AI marks the fifth cycle, referred to as the \"Age of It,\" and explores its profound impact. Addressing the specific needs of Taiwanese businesses, Dr. Tsai will introduce a strategic framework of \"Five Dimensions of AI Application\" to help enterprises find optimal solutions in improving productivity, integrating digital platforms, connecting with the AI ecosystem, implementing AI models, and addressing AI ethics. In the end, Dr. Tsai will share tangible \"low-hanging fruits\" for businesses applying AI.(字串長度:598)'),(6683,'2024-09-12 09:03:00',58,'name2---->(字串長度:0)---->Lai-Shiun, Lai(字串長度:14)```anchor---->speaker-58(字串長度:10)---->lai-shiun-lai(字串長度:13)```talk_title---->(字串長度:0)---->From Digital Transformation to Smart Hospital(字串長度:45)```talk_title2---->(字串長度:0)---->從數位轉型到智慧醫院(字串長度:30)```company---->臺中榮民總醫院資訊室(字串長度:30)---->Taichung Veterans General Hospital(TCVGH)(字串長度:41)```position---->主任(字串長度:6)---->Director of Department of Computer and Communications Center(字串長度:60)```desc---->(字串長度:0)---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1058)```me_desc---->(字串長度:0)---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:868)```company_for_agenda---->(字串長度:0)---->臺中榮民總醫院資訊室(字串長度:30)```position_for_agenda---->(字串長度:0)---->主任(字串長度:6)'),(6684,'2024-09-12 09:03:00',62,'company_for_agenda---->(字串長度:0)---->成功大學(字串長度:12)```position_for_agenda---->(字串長度:0)---->副教授(字串長度:9)'),(6685,'2024-09-12 09:03:00',104,'me_desc---->(字串長度:0)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)```company_for_agenda---->(字串長度:0)---->TAIA(字串長度:4)```position_for_agenda---->(字串長度:0)---->Executive Director & CSO(字串長度:24)'),(6686,'2024-09-12 09:03:01',76,'name2---->(字串長度:0)---->Yu-Hong Lin(字串長度:11)```anchor---->speaker-76(字串長度:10)---->yu-hong-lin(字串長度:11)```talk_title---->(字串長度:0)---->Multimodal AI Empowering Smart Manufacturing Upgradation(字串長度:56)```talk_title2---->(字串長度:0)---->多模態AI賦能智慧製造產業升級(字串長度:41)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->AI System Plan Department(字串長度:25)```position---->(字串長度:0)---->Director(字串長度:8)```desc---->(字串長度:0)---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\n\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:614)```me_desc---->(字串長度:0)---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\n\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1155)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6687,'2024-09-12 09:03:01',77,'name2---->(字串長度:0)---->Chi-An Kao(字串長度:10)```anchor---->speaker-77(字串長度:10)---->chi-an-kao(字串長度:10)```talk_title---->(字串長度:0)---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\n(字串長度:119)```talk_title2---->(字串長度:0)---->AI驅動製造革新：如何利用視覺AI 平台和生成圖像技術提升品質控制(字串長度:89)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->先知科技股份有限公司/ Foresight Technology Company, Ltd(字串長度:65)```position---->(字串長度:0)---->總經理室/總經理; General Manager\'s Office/ President(字串長度:59)```desc---->(字串長度:0)---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:456)```me_desc---->(字串長度:0)---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\n(字串長度:1710)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->先知科技(字串長度:12)```position_for_agenda---->(字串長度:0)---->總經理(字串長度:9)'),(6688,'2024-09-12 09:03:01',80,'name2---->(字串長度:0)---->Simon Lu(字串長度:8)```anchor---->speaker-80(字串長度:10)---->simon-lu(字串長度:8)```talk_title---->(字串長度:0)---->Sensing the Future and Industrial AI Applications(字串長度:49)```talk_title2---->(字串長度:0)---->感知未來與工業AI應用(字串長度:29)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->(字串長度:0)---->Harbor Technology Solutions Co., Ltd.(字串長度:37)```position---->(字串長度:0)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6689,'2024-09-12 10:11:57',94,'company---->(字串長度:0)---->NCCU(字串長度:4)```position---->(字串長度:0)---->Assistant Professor(字串長度:19)'),(6690,'2024-09-12 11:37:26',4,'me_desc---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also\nthe honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later\nearned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)---->Mr. T.H. Tung is the founder and chairman of Pegatron Group, and he is also the honorary president of TCA. As one of the co-founders of ASUSTeK\nComputer, he led a team to develop a laptop computer brand which later earned highest market share in Taiwan and made its name to the top 10\nlaptop brands in the world. In 2008 Pegatron split from ASUSTeK, Mr. T.H.\nTung joined Pegatron as chairman and group CEO. Pegatron Corporation\nemploys strong design capability and abundant experiences to develop\ndiverse DMS services. With the upmost usage of its net asset of NT$221.6\nbillion and the outstanding performance of 160,000 Pegatron employees\nworldwide, the consolidated revenue of Pegatron reached NT$1,257 billion in\n2023.(字串長度:721)'),(6691,'2024-09-12 11:37:26',70,'talk_title---->From Prediction to Simulation: \r\nUnveiling HHRI\'s Cutting-Edge Breakthroughs \r\nin Autonomous Driving Technology (從預測到模擬:\r\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:186)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)```desc---->中文版:\r\n\r\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\r\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\r\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\r\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\r\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\r\n\r\nEnglish version:\r\n\r\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\r\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\r\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\r\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\r\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2420)---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)'),(6692,'2024-09-12 11:37:26',36,'desc---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\r\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1542)---->By leveraging digital transformation and AI-driven insights, and incorporating international trends and regulations, AI technology drives growth in businesses and investment market value, meeting the demands of niche missions and talent needs. As domestic industries in Taiwan face the advent of the AI era, the need for digital transformation has accelerated. Meanwhile, organisations are tackling the challenges of merging computational power on the production side with AI resources on the application side. Through case studies in smart logistics and retail services within the context of Industry 5.0, Deloitte demonstrates how AI can optimise logistics and enhance consumer experiences, while also interweaving sustainable development and circular power systems to establish a one-stop ecosystem. Furthermore, this ecosystem fosters the integration of hardware and software, process management, and talent empowerment, paving the way for a brand new, win-win business model.\n透過數位轉型與AI驅動的洞察，整合國際趨勢與規範，帶動技術與投資市值增長，滿足特定任務與人才需求。國內產業面對AI的時代的來臨，加速了數位轉型的需求。面對生產端算力與應用端AI資源整合的挑戰。Deloitte 透過工業5.0的智慧物流和零售服務案例，說明使用AI來最佳化物流與增加消費者體驗，同時結合永續發展及循環電力系統，建立一站式生態圈，實現軟硬體整合、流程管理與人才賦能，開創共贏的新商業模式。(字串長度:1541)'),(6693,'2024-09-12 11:37:27',41,'desc---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \r\nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \r\nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1108)---->This research focuses on the challenges faced by Small and Medium Enterprises (SMEs) manufacturers in adopting AI technologies. Despite their successful decades-long operations, SMEs are seeking ways to leverage AI for enhancing product value and manufacturing efficiency. However, the lack of resources and collaborative development talent in AI technology presents a significant barrier.  \nTo address these challenges, the study proposes a shared AI software platform where SMEs can utilize AI from design to operation, collaborate with each other, share resources through open-source, and add proprietary features for their businesses.  \nSpecifically, the research aims to establish a lathe machining quality and tool damage diagnostic system using AI models. This system is expected to predict machining errors and tool damage, ensuring quality control without extensive manual inspection, reducing inspection costs, and increasing tool lifespan. The goal is to cater to the current machining demands of small batches with quick changeovers, overcoming the lack of versatility in existing technologies.(字串長度:1106)'),(6694,'2024-09-12 11:37:27',48,'me_desc---->學歷\r\n2003 國立台灣大學電機工程系博士\r\n研究專長\r\n資料探勘\r\n資訊檢索\r\n機器學習\r\n經歷\r\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\r\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:267)---->學歷\n2003 國立台灣大學電機工程系博士\n研究專長\n資料探勘\n資訊檢索\n機器學習\n經歷\n2004年8月~2011年7月 國立成功大學醫學資訊研究所助理教授\n2011年8月~2014年7月 國立成功大學醫學資訊研究所副教授(字串長度:259)'),(6695,'2024-09-12 11:37:27',58,'desc---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\r\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\r\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\r\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\r\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1062)---->Taichung Veterans General Hospital (TCVGH) has been recognized as the only hospital in Taiwan to be listed in Newsweek\'s top 300 World\'s Best Smart Hospitals in 2023 (Ranking #254) and 2024 (Ranking #246).\nBy the survey of Healthcare Information Management System Society (HIMSS) of United States, Taichung Veterans General Hospital (TCVGH) is the Second Highest Global Ranking of DHI (Digital Healthcare Indicator) Score in 2024. TCVGH was also the first National Medical Center in Taiwan to achieve HIMSS EMRAM Stage 6 and 7 validations in 2023, it takes only 8 months, also created the fastest record in Taiwan.\nIn the National Recognition of Taiwan, Taichung Veterans General Hospital (TCVGH) is the first hospital in Taiwan to Achieve 3 Times of Smart Hospital Award (2015, 2019 and 2023).\nTaichung Veterans General Hospital (TCVGH) also deployed hospital information system to 12 Regional Branch Veterans Hospitals around Taiwan.\nIn this session, we will introduce Digital Strategy, Hospital Information System, and some innovations of Smart Hospital.\"(字串長度:1058)```me_desc---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\r\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\r\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\r\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:871)---->Lai-Shiun Lai is currently the Director of the Computer and Communications Center at Taichung Veterans General Hospital in Taichung (TCVGH), Taiwan.\nWith nearly 30 years of experience in hospital information system management, he has dedicated his career to enhancing healthcare technology and optimizing information systems for better patient care.\nHe has served as an advisor to the Ministry of Health and Welfare, the Ministry of Education, the National Health Research Institutes, the Hospital Association of Taiwan, and the Taiwan Association for Medical Informatics and providing expert guidance on various initiatives to improve the nation\'s healthcare infrastructure.\nIn 2021, he was honored with two prestigious awards: the Outstanding I.T. Elite Award, a national accolade in Taiwan, and the Award of Model Civil Servants from the Veteran Affairs Committee.\"(字串長度:868)'),(6696,'2024-09-12 11:37:27',67,'me_desc---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\r\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1701)---->Birdman is the founder of CyCraft. He is also a consultant for the Association of Hackers in Taiwan (HIT). As a cybersecurity technology research expert with more than 15 years of experience, Birdman\'s main research areas include the development of autonomous analysis systems, hacker activity analysis, malware analysis, and machine learning algorithms. He has presented his expert research in cybersecurity technology many times at internationally renowned conferences, famous for giving lively and entertaining lectures. Birdman co-founded Xecure Lab with Benson Wu in 2011, which was acquired by the NASDAQ-listed Israeli cybersecurity company Verint in 2014. Birdman\'s latest venture, CyCraft, focuses on integrating artificial intelligence and cybersecurity technology.\n奧義智慧科技創辦人，畢業於國立中央大學與大同大學資訊工程研究所，同時也是社團法人台灣駭客協會顧問。超過 15 年的資安技術研究專家，以開發自動化分析系統、駭客活動分析、惡意程式分析、機器學習演算法為主要研究範疇，多次在國際知名研討會發表專業的資安技術研究，如 Black Hat、DEFCON、SyScan、HITCON、FIRST、AVTokyo、HTICA、OWASP Asia 與 iThome CYBERSEC 等，擅長透過詼諧生動的演講傳授資安知識。而身為臺灣資安界著名的連續創業者，曾於 2011 年與吳明蔚 (Benson Wu) 共同創立臺灣第一家專門研發 APT 防禦產品的新創公司艾斯酷博 (Xecure Lab)，並於 2014 年受到美國 NASDAQ 上市的以色列資安公司威瑞特 (Verint) 肯定與併購。目前創辦的奧義智慧科技，則專注在人工智慧與資安科技領域的結合上。(字串長度:1700)'),(6697,'2024-09-12 11:37:27',104,'me_desc---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\r\n\r\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\r\n\r\n(字串長度:1351)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)'),(6698,'2024-09-12 11:37:27',105,'me_desc---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\r\nFormer Product Manager in ASUS and HTC\r\nFormer VP of Global business development at Meitu\r\nFormer Cheetah Mobile head of strategic partnerships \r\nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\r\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\r\nNational Chengchi University “Digital Advertising” Lecturer\r\nMobile Advertising  Lecturer at CMU NASA\r\n(字串長度:495)---->Founder and CEO of Accucrazy｜The Pocket Company｜CRZY.IO\nFormer Product Manager in ASUS and HTC\nFormer VP of Global business development at Meitu\nFormer Cheetah Mobile head of strategic partnerships \nShihChien University “Web3 Technologies in Fashion” with Elle Lecturer\nShihHsin University Advertising and Public Relations Department ”AI in Marketing industry” Lecturer\nNational Chengchi University “Digital Advertising” Lecturer\nMobile Advertising  Lecturer at CMU NASA\n(字串長度:487)'),(6699,'2024-09-12 11:37:27',106,'me_desc---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\r\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:299)---->Focusing primarily on researching network security-related technologies. I frequently participate in various events as a speaker and also organize activities.\nOutside of work, I dedicate my time to different research projects and actively discover security vulnerabilities across various platforms.(字串長度:298)'),(6700,'2024-09-12 11:37:27',73,'desc---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\r\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\r\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\r\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:496)---->Latest Applications of Large Language Models: AI Fortune Interpretation, AI Content Creation, AI Oracle Explanation, AI Scripture Interpretation, AI Customer Service\nLatest Applications of Image Analysis Algorithms: AI People Counting System, AI Guardian System (Fire Detection, Smoke Detection, Anti-theft)\n最新大型語言模型應用：AI解籤、AI小編、AI解鸞文、AI解經文、AI客服\n最新影像分析演算法應用：AI人流系統、AI門神系統(防火、防煙、防盜)(字串長度:493)'),(6701,'2024-09-12 11:37:27',74,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.(字串長度:792)'),(6702,'2024-09-12 11:37:27',76,'desc---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\r\n\r\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:616)---->Multimodal AI is revolutionizing traditional manufacturing by equipping manufacturing equipment with stronger perception and decision-making abilities. This enables automation and intelligence in production processes, allowing enterprises to create more resilient and efficient smart factories.\n\n隨著多模態AI技術的成熟，傳統製造業正在經歷一場深刻的轉型。多模態AI能夠賦予製造設備更強的感知能力和決策能力，實現生產過程的自動化和智能化。透過多模態AI，企業能夠打造更具彈性、更具效率的智慧工廠，從而提升市場競爭力。(字串長度:614)```me_desc---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\r\n\r\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\r\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1158)---->Experience: Possessing extensive software development experience in automation equipment, I excel at integrating AI technology with existing software systems to provide robust solutions for clients. My primary focus is on the panel and semiconductor industries, where I specialize in delivering intelligent visual recognition systems.Awards: I have achieved outstanding results in multiple AI competitions, demonstrating exceptional technical skills and teamwork. Notable accomplishments include winning the 3rd place in the Ministry of Economic Affairs IDEAS SHOW Product Image AI Recognition Competition and the AI in Taiwan Hackathon Smart Retail Potential Award.\n\n經歷： 具備自動化設備豐富的軟體開發經驗，擅長將AI技術整合既有軟體系統，為客戶提供健全的解決方案，目前主要應用產業為面板廠與半導體廠，以提供智能視覺辨識系統為主要服務內容。\n獲獎： 多次在AI競賽中獲得優異成績，展現出色的技術能力與團隊合作精神。代表作品包括經濟部IDEAS SHOW商品影像AI辨識競賽第三名、AI in Taiwan黑客松競賽智慧零售潛力獎等。(字串長度:1155)'),(6703,'2024-09-12 11:37:27',77,'talk_title---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\r\n(字串長度:120)---->AI-Driven Manufacturing Innovation: Enhancing Quality Control with Visual AI Platforms and Generative Image Technology\n(字串長度:119)```desc---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\r\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:457)---->Exploring how AI-driven visual inspection platforms and generative image technology enable fast and high-precision defect detection, while boosting production efficiency. This session will focus on the role of these cutting-edge technologies in accelerating digital transformation within the manufacturing industry.\n探討如何透過AI視覺檢測平台與生成圖像實現快速與高精度瑕疵檢測和生產效率提升，助力製造業數位轉型(字串長度:456)```me_desc---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\r\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\r\n(字串長度:1712)---->Dr. Chi-An Kao is the President of Foresight Technology, with over 30 years of cross-disciplinary experience in equipment and process engineering, information technology, and artificial intelligence. He specializes in the development and application of AI, smart manufacturing, and digital transformation solutions. Dr. Kao previously worked at TSMC, where he was responsible for new fab construction and capacity expansion, successfully driving process innovation and production automation. He holds a Bachelor’s degree in Materials Engineering, a Master’s degree in Industrial Engineering, a Master’s degree in Management Science, and a Ph.D. in Manufacturing Information and Systems. Dr. Kao’s expertise in AI includes machine learning, deep learning, and data analysis, along with advanced skills in agile project management. His research and practical achievements have been widely adopted by major corporations, enhancing manufacturing efficiency and achieving zero-defect production.\n高季安博士現任先知科技總經理，擁有超過30年的設備與製程工程、資訊技術、與人工智慧跨領域經驗，專注於人工智慧、智慧製造與數位轉型解決方案的開發與應用。他曾任職於台積電，負責新廠建設與產能擴展，並成功推動製程技術革新與生產自動化。高博士擁有材料工程學士、工業工程碩士、管理科學碩士及製造資訊與系統博士學位。他在人工智慧領域的專業包括機器學習、深度學習與數據分析，並具備敏捷專案管理專長。高博士的研究與實踐成果已廣泛應用於多家大型企業，提升了製造效率與產品品質至零缺陷製造的境界。\n(字串長度:1710)'),(6704,'2024-09-12 11:37:27',80,'me_desc---->Current Positions\r\n\r\nCEO of Haobo Technology Co., Ltd.\r\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\r\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\r\n\r\n Working Experience\r\nDirector of System Design, Nortek (U.S.)\r\nDirector of System Design, Crown Computer Systems\r\nDirector of Server System Design, Flextronics\r\nManager of System R&D, Quanta Computer Cloud Computing Business Group\r\n\r\nEducation\r\nEiMBA, National Taiwan University\r\nDepartment of Electrical Engineering, Chinese Culture University\r\nTaiwan AI Academy, 4th Manager Class\r\n\r\n現任\r\n皓博科技股份有限公司 執行長\r\n台灣人工智慧協會理事/ 台北分會會長\r\n文化大學校友總會理事\r\n文化大學電機系系友會會長\r\n經歷\r\n美商Nortek系統設計總監\r\n冠信電腦系統設計總監\r\nFlextronics伺服器系統設計總監\r\n廣達電腦雲端運算事業群/系統研發部經理\r\n學歷\r\n台灣大學EiMBA\r\n中國文化大學電機系\r\n台灣人工智慧學校 第四屆經理人班\r\n(字串長度:1076)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)'),(6705,'2024-09-12 11:37:27',88,'me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\n\n(字串長度:794)'),(6706,'2024-09-12 11:45:07',4,'anchor---->t.h.-tung(字串長度:9)---->th-tung(字串長度:7)'),(6707,'2024-09-12 14:29:23',100,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6708,'2024-09-12 14:33:30',7,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6709,'2024-09-12 14:33:30',33,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6710,'2024-09-12 14:33:30',48,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6711,'2024-09-12 14:33:30',62,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6712,'2024-09-12 14:33:31',104,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6713,'2024-09-12 15:02:12',15,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6714,'2024-09-12 15:02:12',25,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6715,'2024-09-12 15:02:12',22,'talk_title2---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)'),(6716,'2024-09-12 15:02:13',80,'me_desc---->Current Positions\r\n\r\nCEO of Haobo Technology Co., Ltd.\r\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\r\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\r\n\r\n Working Experience\r\nDirector of System Design, Nortek (U.S.)\r\nDirector of System Design, Crown Computer Systems\r\nDirector of Server System Design, Flextronics\r\nManager of System R&D, Quanta Computer Cloud Computing Business Group\r\n\r\nEducation\r\nEiMBA, National Taiwan University\r\nDepartment of Electrical Engineering, Chinese Culture University\r\nTaiwan AI Academy, 4th Manager Class\r\n\r\n現任\r\n皓博科技股份有限公司 執行長\r\n台灣人工智慧協會理事/ 台北分會會長\r\n文化大學校友總會理事\r\n文化大學電機系系友會會長\r\n經歷\r\n美商Nortek系統設計總監\r\n冠信電腦系統設計總監\r\nFlextronics伺服器系統設計總監\r\n廣達電腦雲端運算事業群/系統研發部經理\r\n學歷\r\n台灣大學EiMBA\r\n中國文化大學電機系\r\n台灣人工智慧學校 第四屆經理人班\r\n(字串長度:1076)---->Current Positions\n\nCEO of Haobo Technology Co., Ltd.\nDirector of the Taiwan Artificial Intelligence Association / Chairman of Taipei Social Committee\nChairman of the Electrical Engineering Alumni Association of Chinese Culture University\n\n Working Experience\nDirector of System Design, Nortek (U.S.)\nDirector of System Design, Crown Computer Systems\nDirector of Server System Design, Flextronics\nManager of System R&D, Quanta Computer Cloud Computing Business Group\n\nEducation\nEiMBA, National Taiwan University\nDepartment of Electrical Engineering, Chinese Culture University\nTaiwan AI Academy, 4th Manager Class\n\n現任\n皓博科技股份有限公司 執行長\n台灣人工智慧協會理事/ 台北分會會長\n文化大學校友總會理事\n文化大學電機系系友會會長\n經歷\n美商Nortek系統設計總監\n冠信電腦系統設計總監\nFlextronics伺服器系統設計總監\n廣達電腦雲端運算事業群/系統研發部經理\n學歷\n台灣大學EiMBA\n中國文化大學電機系\n台灣人工智慧學校 第四屆經理人班\n(字串長度:1045)'),(6717,'2024-09-12 15:10:36',15,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6718,'2024-09-12 15:10:36',25,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6719,'2024-09-12 15:10:36',22,'talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```talk_title2---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)---->(字串長度:0)'),(6720,'2024-09-13 07:55:33',92,'company_for_agenda---->(字串長度:0)---->NYCU(字串長度:4)'),(6721,'2024-09-15 07:11:56',70,'talk_title---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享)(字串長度:183)---->From Prediction to Simulation: \nUnveiling HHRI\'s Cutting-Edge Breakthroughs \nin Autonomous Driving Technology (字串長度:110)```talk_title2---->(字串長度:0)---->從預測到模擬:\n鴻海研究院自動駕駛技術研發成果分享(字串長度:71)```desc---->中文版:\n\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n\nEnglish version:\n\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.(字串長度:2406)---->English version:\r\nThis presentation introduces three significant research achievements from Hon Hai Research Institute in the field of autonomous driving technology: QCNet, BehaviorGPT, and OccNet.\r\nQCNet is an innovative model for trajectory prediction that has won first place in the Argoverse 1 and 2 trajectory prediction challenges for two consecutive years. It employs an efficient Transformer architecture, capable of step-by-step planning and self-correction, significantly improving prediction accuracy and efficiency.\r\nBehaviorGPT is an intelligent simulation agent used for closed-loop testing of autonomous driving algorithms. It achieved the best performance in the 2024 Waymo Sim Agents Challenge, generating near-realistic traffic scenarios that aid in the development and testing of autonomous driving systems.\r\nOccNet is an occupancy network model that constructs high-precision 3D scenes using low-cost equipment. It addresses the issues of 3D point cloud sparsity and multi-modal fusion, outperforming existing state-of-the-art methods in image segmentation tasks.\r\nThese research outcomes have not only achieved excellent results in international competitions but have also resulted in multiple top-tier conference papers and patent applications, demonstrating Hon Hai Research Institute\'s innovative capabilities and leading position in the field of autonomous driving technology.\n\n中文版:\n本次演講我會介紹鴻海研究院在自動駕駛技術領域的三項重要研究成果:QCNet、BehaviorGPT和OccNet。\nQCNet是一個用於軌跡預測的創新模型,在Argoverse 1和2軌跡預測挑戰賽中連續兩年獲得世界第一。它採用高效的Transformer架構,能夠進行逐步規劃和自我修正,大幅提升預測準確度和效率。\nBehaviorGPT是一個智能模擬代理器,用於自駕算法的閉環測試。它在2024年Waymo Sim Agents Challenge中獲得最佳成績,能夠生成近真實的交通場景,有助於自動駕駛系統的開發和測試。\nOccNet是一個佔據網路模型,能夠利用低成本設備構建高精度的3D場景。它解決了3D點雲稀疏性和多模態融合的問題,在影像分割任務中超越了現有的最先進方法。\n這些研究成果不僅在國際競賽中取得優異成績,還產生了多篇頂級會議論文和專利申請,展現了鴻海研究院在自動駕駛技術領域的創新能力和領先地位。\n(字串長度:2410)'),(6722,'2024-09-15 07:11:57',52,'name2---->(字串長度:0)---->David Hsu(字串長度:9)```anchor---->speaker-52(字串長度:10)---->david-hsu(字串長度:9)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->安謀國際科技股份有限公司(字串長度:36)---->Arm(字串長度:3)```position---->應用工程總監(字串長度:18)---->FAE Director(字串長度:12)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6723,'2024-09-15 07:11:57',58,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6724,'2024-09-15 07:11:57',79,'name2---->(字串長度:0)---->Siang-Wei Hu(字串長度:12)```anchor---->speaker-79(字串長度:10)---->siang-wei-hu(字串長度:12)```talk_title2---->(字串長度:0)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```company---->(字串長度:0)---->工研院資通所   (字串長度:21)```position---->(字串長度:0)---->智慧運算組 博士(字串長度:22)```me_desc---->(字串長度:0)---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)'),(6725,'2024-09-15 07:11:57',92,'talk_title2---->(字串長度:0)---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)'),(6726,'2024-09-15 07:11:57',94,'talk_title2---->(字串長度:0)---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)'),(6727,'2024-09-18 08:37:29',5,'company---->(字串長度:0)---->中華民國對外貿易發展協會(字串長度:36)```position---->(字串長度:0)---->董事長(字串長度:9)'),(6728,'2024-09-18 08:37:29',10,'name2---->(字串長度:0)---->WANG CHING-HUNG(字串長度:15)```anchor---->speaker-10(字串長度:10)---->wang-ching-hung(字串長度:15)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->中華電信研究院(字串長度:21)---->Chunghwa Telecom Laboratories(字串長度:29)```position---->副院長(字串長度:9)---->Vice President(字串長度:14)```me_desc---->(字串長度:0)---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\r\n \r\nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \r\n \r\nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \r\n \r\nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\r(字串長度:1201)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6729,'2024-09-18 08:37:29',11,'talk_title---->(字串長度:0)---->High-Performance Computing Infrastructures and Technologies for Wide Adoption of AI in Taiwan(字串長度:93)```desc---->(字串長度:0)---->With the booming demands for artificial intelligence applications on a wide range of enterprise work loads and products development, software vendors all over the world are rushing to develop many domain-specific applications that have great potential for customers in boosting either their internal productivities or external product sells.  Taiwan is of course no exception.  Even with a wide availability of open-source AI models in the past few years, Taiwan still needs AI models that are tailored to local language and societal elements.  For this reason, advanced technologies such as continuous pre-training, fine-tuning, and domain specific RAGs play an important role in all the large-language models related development.   Infrastructures capable of handling large models and large amount of training data are in urgent need for Taiwan in the next few years.  Furthermore, technologies related do domain-specific model development need to be continuously refined and developed within HPC enabled data centers.  For the obvious reasons in AI governance, many training data will be stored not only domestically, but also under a secure enclave such that sensitive information won’t be leaked to the third parties.  National Center for High-Performance Computing (NCHC)’s recent endeavors in the above issues will be discussed in the talk.  Opportunities and challenges are also laid out.(字串長度:1400)'),(6730,'2024-09-18 08:37:29',101,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中央研究院資訊科技創新研究中心(字串長度:45)---->Academia Sinica (字串長度:16)```position---->研究員(字串長度:9)---->CITI, Research Fellow (字串長度:22)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6731,'2024-09-18 08:37:29',25,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中央研究院資訊科技創新研究中心(字串長度:45)---->Academia Sinica (字串長度:16)```position---->研究員(字串長度:9)---->CITI, Research Fellow (字串長度:22)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6732,'2024-09-18 08:37:29',9,'talk_title---->(字串長度:0)---->The Taiwan CbI Program(字串長度:22)```talk_title2---->(字串長度:0)---->晶創台灣計畫(字串長度:18)```desc---->(字串長度:0)---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\r\nThe first phase, which spans five years starting from 2024, is a joint effort by the\r\nNational Science and Technology Council (NSTC) and multiple ministries, including\r\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\r\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\r\nDevelopment Council. By integrating AI and chips to drive innovation across all\r\nindustries, fostering a domestic environment to attract global R&amp;D talent,\r\naccelerating the integration of heterogeneous technologies and advanced\r\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\r\nsemiconductor industry strength to attract international startups and investment,\r\nthis initiative aims to drive the development of related industries. In essence, the\r\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\r\nfrom various industries to position Taiwan as a global hub for future industrial\r\ninnovation.(字串長度:1073)'),(6733,'2024-09-18 08:37:30',92,'talk_title2---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)---->「好資料哪裡來？」 資料與隱私的平衡 \n\n\n(字串長度:56)'),(6734,'2024-09-18 08:37:30',94,'name2---->(字串長度:0)---->Chung-pei Pien(字串長度:14)```anchor---->speaker-94(字串長度:10)---->chung-pei-pien(字串長度:14)```talk_title2---->「好資料哪裡來？」 繁體中文開源實踐計畫 \n\n\n(字串長度:62)---->「好資料哪裡來？」 社科資料運用\n\n\n(字串長度:49)```company---->NCCU(字串長度:4)---->National Chengchi University(字串長度:28)```position---->Assistant Professor(字串長度:19)---->Assistant Professor at the International College of Innovation(字串長度:62)```me_desc---->(字串長度:0)---->Chung-pei Pien is an Assistant Professor at the International College of Innovation, National Chengchi University. His research primarily revolves around environmental sociology, political sociology, computational social science, and organizational theories.(字串長度:258)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->NCCU(字串長度:4)```position_for_agenda---->(字串長度:0)---->Assistant Professor(字串長度:19)'),(6735,'2024-09-18 08:57:32',92,'talk_title2---->「好資料哪裡來？」 資料與隱私的平衡 \n\n\n(字串長度:56)---->資料與隱私的平衡 \n\n\n(字串長度:28)```lecture_type---->(字串長度:0)---->好資料哪裡來？(字串長度:21)'),(6736,'2024-09-18 08:57:32',94,'talk_title2---->「好資料哪裡來？」 社科資料運用\n\n\n(字串長度:49)---->社科資料運用\n\n\n(字串長度:21)```lecture_type---->(字串長度:0)---->好資料哪裡來？(字串長度:21)'),(6737,'2024-09-18 09:07:40',92,'talk_title---->(字串長度:0)---->資料與隱私的平衡(字串長度:24)```talk_title2---->資料與隱私的平衡 \n\n\n(字串長度:28)---->討論：一起建立好的資料基礎建設(字串長度:45)'),(6738,'2024-09-18 09:07:40',94,'talk_title---->(字串長度:0)---->社科資料運用(字串長度:18)```talk_title2---->社科資料運用\n\n\n(字串長度:21)---->討論：一起建立好的資料基礎建設(字串長度:45)'),(6739,'2024-09-18 09:12:29',92,'talk_title2---->討論：一起建立好的資料基礎建設(字串長度:45)---->討論: 一起建立好的資料基礎建設(字串長度:44)'),(6740,'2024-09-18 09:12:29',94,'talk_title2---->討論：一起建立好的資料基礎建設(字串長度:45)---->討論: 一起建立好的資料基礎建設(字串長度:44)'),(6741,'2024-09-18 10:19:33',26,'name2---->(字串長度:0)---->Richard Tzong-Han Tsai(字串長度:22)```anchor---->speaker-26(字串長度:10)---->richard-tzong-han-tsai(字串長度:22)```talk_title---->(字串長度:0)---->Task Design, Dataset Creation, and Evaluation: Keys to LLM Deployment and Taiwan\'s AI Foundry(字串長度:93)```talk_title2---->(字串長度:0)---->設計任務、打造資料集與評測：推動LLM落地，成就台灣AI Foundry的關鍵(字串長度:91)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->國立中央大學資訊工程系(字串長度:33)---->Academia Sinica(字串長度:15)```position---->教授(字串長度:6)---->Research Fellow(字串長度:15)```company2---->中研院人社中心(字串長度:21)---->(字串長度:0)```position2---->地理資訊專題中心執行長(字串長度:33)---->(字串長度:0)```desc---->(字串長度:0)---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\n\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1681)```me_desc---->(字串長度:0)---->中文版本：\r\n蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\r\n\r\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\r\n\r\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\r\n\r\nEnglish Version:\r\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\r\n\r\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\r\n\r\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3524)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/richard-tzong-han-tsai-a5262b45/(字串長度:60)'),(6742,'2024-09-18 11:51:19',10,'me_desc---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\r\n \r\nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \r\n \r\nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \r\n \r\nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\r\n(字串長度:1202)---->Dr. Ching-Hung Wang is currently the Vice President of Telecommunication Laboratories (TL) and is responsible for supervising the ongoing research and development of telecom network infrastructure.\n \nSince joining Chunghwa Telecom in 1990, Dr. Wang has served in various R&D and project management positions, including the Director of Enterprise Solutions Lab as well as the Director of the Advanced Technology Lab in TL before he joined the Data Communication Branch, where he served as a managing Director overseeing enterprise solutions in Smart City, Smart Home, and IoT-related services. He was awarded the Top 10 Outstanding Employee in 2005. \n \nDr. Wang has been among the opinion leaders in Intelligent Transportation Systems in Taiwan, and serves as the board of directors of KingwayTek (Digital Map and Telematics Provider in Taiwan) and the board of directors of TIAA (Taiwan Intelligent Aerotropolis Association). \n \nDr. Wang received an M.S. degree in 1988 from National Chiao Tung University and a Ph.D. in Electrical Engineering from National Chiao Tung University in 2000. His professional fields include expert systems, intelligent transportation systems, and machine learning.\n(字串長度:1195)'),(6743,'2024-09-18 11:51:19',101,'talk_title---->(字串長度:0)---->Sovereign AI(字串長度:12)```talk_title2---->(字串長度:0)---->主權人工智慧(字串長度:18)```me_desc---->(字串長度:0)---->Prof. Yuh-Jye Lee is a computer scientist who holds a PhD in Computer Sciences from UW-Madison (2001). He has held positions at esteemed universities, including National Chun Cheng University, Taiwan Tech, and National Yang Ming Chiao Tung University.\n\nProf. Lee also had the opportunity to serve the government from November 2020 to January 2023 as the Deputy Executive Secretary of the Office of Science and Technology Policy, National Science and Technology Council. This office is responsible for Taiwan\'s science and technology policies, budget allocation, and the review of national-level science and technology projects.  He serves as the Chief Executive Officer of the Taiwan Information Security Center at the Research Center for Information Technology Innovation (CITI), Academia Sinica in the period of Aug. 2023 to Feb. 2024 and Sept. 2018 to Feb. 2021. He is a research fellow at CITI since Aug. 2023.\n\nProf. Lee\'s research primarily focuses on AI, data science, machine learning, federated learning, and information security. In essence, his research is centered on AI in security and security in AI. He is also in charge of the TAIDE project, which stands for Trustworthy AI Dialogue Engine.\n(字串長度:1207)'),(6744,'2024-09-18 11:51:19',26,'desc---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\r\n\r\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1683)---->大型語言模型（LLM）的快速發展為各行各業帶來了重大機遇，但其成功部署需奠基於任務設計、資料集創建與評測這三大核心工作。基於我在TAIDE第一、二期計畫中的經驗，本次演講將深入探討在推動LLM落地過程中所面臨的挑戰，如如何確保資料品質和提升模型的可擴展性，並分享我們如何克服這些挑戰的具體方法。這些工作對於確保LLM能夠在不同領域實現擴展和應用至關重要。透過健全的資料集建設、有效的任務設計與嚴謹的評測，台灣正逐步邁向成為全球AI Foundry的目標，推動創新與技術領導力。本次討論也將闡明這些關鍵步驟如何為各行業及社會帶來深遠影響。\n\nThe rapid development of Large Language Models (LLMs) offers significant opportunities across industries, but their deployment relies on a strong foundation in task design, dataset creation, and evaluation. Based on key insights from the first and second phases of the TAIDE project, this talk will highlight the specific challenges we faced, such as ensuring data quality and scalability, and how we addressed them. These foundational efforts are crucial for scaling LLMs and ensuring practical applications in various sectors. By focusing on building robust datasets, designing impactful tasks, and establishing rigorous evaluation frameworks, Taiwan is well-positioned to accelerate its journey towards becoming a global AI Foundry, driving forward both innovation and leadership. This talk will also explore how these critical steps create far-reaching benefits, not only for industries but also for society as a whole.(字串長度:1681)```me_desc---->中文版本：\r\n蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\r\n\r\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\r\n\r\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\r\n\r\nEnglish Version:\r\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\r\n\r\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\r\n\r\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3524)---->蔡宗翰教授是台灣國家科學技術委員會TAIDE專案的模型訓練組專家，現任台灣數位人文學會理事長與台灣人工智慧學會副理事長。蔡教授同時擔任中央研究院人文社會科學研究中心研究員、中央大學資訊工程系教授，以及台灣大學語言學研究所合聘教授。他的專長包括自然語言處理、人工智慧與數位人文，在這些領域中每年都有多篇頂尖國際會議論文發表，包括ACL、EMNLP和COLING。\n\n蔡教授擁有台灣大學資訊工程學士至博士學位，並於2023年及2024年連續獲得Google Research Award。他帶領的團隊曾在2021年獲得由美國國立衛生研究院（NIH）主辦的BioCreative競賽冠軍，並於2020至2023年間連續獲得由多國科研機構主辦的BioASQ國際生醫問答系統競賽冠軍。此外，他在2020、2021及2023年榮獲中央大學研究傑出獎。\n\n除了學術研究外，蔡教授還是多本科普書籍的作者，包括「寫給中學生看的AI課」及「寫給小學生看的AI課」，這些書籍不僅在博客來暢銷，還榮獲第十二屆吳大猷科學普及著作獎青少年科普特別推薦獎、臺北市立圖書館「每月一書」、2023年香港教育城中學教師推薦好讀獎等多項教育獎項及推薦。由於蔡教授對台灣生成式人工智慧（Gen AI）發展的貢獻，他被天下雜誌選為2024年的AI 20之一。\n\nDr. Richard Tzong-Han Tsai is an expert in model training for the TAIDE project under Taiwan\'s National Science and Technology Council. He currently serves as the President of the Taiwanese Association for Digital Humanities and the Vice President of the Taiwanese Association for Artificial Intelligence. He is also a Research Fellow at Academia Sinica’s Research Center for Humanities and Social Sciences, a Professor in the Department of Computer Science at National Central University, and an adjunct professor at National Taiwan University’s Graduate Institute of Linguistics. His areas of expertise include natural language processing, artificial intelligence, and digital humanities, with a track record of publishing several papers annually at top-tier international conferences, including ACL, EMNLP, and COLING.\n\nDr. Tsai holds a Bachelor\'s to Ph.D. degree in Computer Science from National Taiwan University. He was awarded the Google Research Award in 2023 and 2024 and has led his teams to victory in the BioCreative competition organized by the National Institutes of Health (NIH) in 2021, as well as the BioASQ international biomedical question-answering competition from 2020 to 2023, hosted by multiple global research institutions. Additionally, he has been honored with the Outstanding Research Award at National Central University in 2020, 2021, and 2023.\n\nBeyond his academic contributions, Dr. Tsai is the author of popular science books on AI for young students, including \"AI Lessons for Middle Schoolers\" and \"AI Lessons for Elementary Students,\" both of which have become bestsellers and received multiple educational awards and recommendations, including the 12th Wu Ta-You Science Popularization Award for Youth Science Education, the Taipei Public Library\'s Monthly Book Selection, and the 2023 Hong Kong Education City\'s Teacher Recommendation Award. Due to his contributions to the development of generative AI (Gen AI) in Taiwan, Dr. Tsai was selected by CommonWealth Magazine as one of the AI 20 in 2024.(字串長度:3479)'),(6745,'2024-09-18 11:51:19',9,'desc---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\r\nThe first phase, which spans five years starting from 2024, is a joint effort by the\r\nNational Science and Technology Council (NSTC) and multiple ministries, including\r\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\r\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\r\nDevelopment Council. By integrating AI and chips to drive innovation across all\r\nindustries, fostering a domestic environment to attract global R&amp;D talent,\r\naccelerating the integration of heterogeneous technologies and advanced\r\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\r\nsemiconductor industry strength to attract international startups and investment,\r\nthis initiative aims to drive the development of related industries. In essence, the\r\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\r\nfrom various industries to position Taiwan as a global hub for future industrial\r\ninnovation.(字串長度:1073)---->「The Taiwan CbI Program」was approved by the Executive Yuan in November 2023.\nThe first phase, which spans five years starting from 2024, is a joint effort by the\nNational Science and Technology Council (NSTC) and multiple ministries, including\nthe Ministry of Economic Affairs, Ministry of Education, Ministry of Digital Affairs,\nMinistry of Health and Welfare, Ministry of Agriculture, and the National\nDevelopment Council. By integrating AI and chips to drive innovation across all\nindustries, fostering a domestic environment to attract global R&amp;D talent,\naccelerating the integration of heterogeneous technologies and advanced\ntechnologies required for industrial innovation, and leveraging Taiwan&#39;s\nsemiconductor industry strength to attract international startups and investment,\nthis initiative aims to drive the development of related industries. In essence, the\ninitiative seeks to combine Taiwan&#39;s semiconductor advantages, AI, and expertise\nfrom various industries to position Taiwan as a global hub for future industrial\ninnovation.(字串長度:1060)```me_desc---->EDUCATION\r\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\r\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\r\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\r\n\r\nPROFESSIONAL POSITIONS\r\n\r\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\r\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\r\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\r\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\r\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\r\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\r\n•         Director, Academia Sinica Computing Center (2006-08)\r\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\r\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\r\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\r\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\r\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\r\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\r\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\r\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\r\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\r\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\r\n•         Associate Editor, ACM Computing Surveys (2018-21)\r\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\r\n\r\nRESEARCH INTERESTS\r\n•        Multimedia Information Processing\r\n•        Computer Vision\r\n•        Artificial Intelligence\r\n\r\nHONORS & AWARDS\r\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\r\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\r\n•        IEEE Fellow (from 2013).\r\n•        TECO award, TECO Science Foundation (2016).\r\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\r\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2585)---->EDUCATION\n•        B.S.  in National Tsing-Hua University, Taiwan (1981).\n•        M.S.  in Electrical Engineering, Northwestern University, USA (1985).\n•        Ph.D.  in Electrical Engineering, Northwestern University, USA (1990).\n\nPROFESSIONAL POSITIONS\n\n•         Assistant Research Fellow, Institute of Information Science, Academia Sinica (1991-95)\n•         Associate Research Fellow, Institute of Information Science, Academia Sinica (1995-98)\n•         Research Fellow, Institute of Information Science, Academia Sinica (1998-2012)\n•         Distinguished Research Fellow, Institute of Information Science, Academia Sinica (2012-present)\n•         Deputy Director, Institute of Information Science, Academia Sinica (1997-2000)\n•         Acting Director, Institute of Applied Science and Technology preparation office, Academia Sinica (2001-04)\n•         Director, Academia Sinica Computing Center (2006-08)\n•         President, Image Processing and Pattern Recognition Society, Taiwan (2006-08)\n•         Program Director, Computer Science Division 2, National Science Council, Taiwan (2008-11)\n•         Director, Institute of Information Science, Academia Sinica, Taiwan (2018-present)\n•         Multimedia Information Processing Chair Professor, National Chung-Hsing University (2009-12, 2022-25)\n•         Adjunct Chair Professor, National Sun-Yat –San University (2012-14)\n•         Adjunct Chair Professor, National Chiao-Tung University (2016-19)\n•         Adjunct Chair Professor, Chung-Yuan Christian University (2010-present)\n•         Associate Editor, IEEE Transactions on Information Forensics and Security (2009-12)\n•         Associate Editor, IEEE Transactions on Image Processing (2009-13)\n•         Associate Editor, IEEE Transactions on Multimedia (1998-2001)\n•         Associate Editor, ACM Computing Surveys (2018-21)\n•         Senior Associate Editor, ACM Computing Surveys (2021-present)\n\nRESEARCH INTERESTS\n•        Multimedia Information Processing\n•        Computer Vision\n•        Artificial Intelligence\n\nHONORS & AWARDS\n•        Young Investigators’ Award, Academia Sinica, Taiwan (1998).\n•        Distinguished Research Award, National Science Council (2003-06,2010-13,2013-16).\n•        IEEE Fellow (from 2013).\n•        TECO award, TECO Science Foundation (2016).\n•        64th Academic Award (Engineering Division), Ministry of Education (2020).\n•        Distinguished Researcher Award, National Science and Technology Council, Taiwan(2022)(字串長度:2547)'),(6746,'2024-09-18 11:51:20',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->*10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\n*Vice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\n*Mentor at NCKU Phoenix Startup Platform.\n*Lecturer on Generative AI at ITRI College of Industry.\n*Recipient of the AI Award for Best Speaker from the Taiwan AI Academy.\n*Co-founder of the International Institute for Innovative Biomedical Technology.\n*Lecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1498)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6747,'2024-09-18 11:51:20',92,'position_for_agenda---->(字串長度:0)---->Associate Professor(字串長度:19)'),(6748,'2024-09-18 11:58:38',104,'me_desc---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.\n\n(字串長度:1347)---->Connyn Chang received the MSc degree in ICMA Centre, Henley Business School from University of Reading, U.K. She’s currently Treasury VP in Global Capital Market at CTBC Bank, as well as the Executive Director & CSO of Taiwan Artificial Intelligence Association (TAIA) and a PhD student in the Department of Computer Science & Information Engineering, NCU. She joined Taiwan AI Academy (AIA)’s Executive Program in Artificial Intelligence in 2019 and FinTech Program in 2022, organizing various events for all of the alumni since 2019. She also holds the certificate of Microsoft Certified Azure AI Fundamentals and the certificate in structured finance from UC Irvine.\n\nAs derivatives PM at the trading floor and top financial presentation/infographic designer, Connyn’s expertise is to convert and visualize big data in financial derivatives & global capital markets into useful info with aesthetics. In recent years, she leads many projects of TAIA, such as 2020 AI in Taiwan Hackathon, a series of AI Hub x AI Day events, etc. She has served as the moderator in Taiwan’s biggest AI forum - AI Academy Annual Conference, 2021 UK-Taiwan AI+ Smart Manufacturing International Online Conference, 2022 USA-Taiwan AI+ Smart Manufacturing International Online Conference, and the bilingual hostess in the Toastmasters D67 annual conference.(字串長度:1345)'),(6749,'2024-09-18 11:58:39',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->*10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\n*Vice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\n*Mentor at NCKU Phoenix Startup Platform.\n*Lecturer on Generative AI at ITRI College of Industry.\n*Recipient of the AI Award for Best Speaker from the Taiwan AI Academy.\n*Co-founder of the International Institute for Innovative Biomedical Technology.\n*Lecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1498)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6750,'2024-09-18 12:06:53',50,'desc---->(字串長度:0)---->Generative AI is very popular this year, and major software and hardware companies have invested in it.\r\n\r\nThis trend will quickly extend to mobile or edge devices in the future.\r\n\r\nFor example, PC, mobile phone, AR/VR, home products, etc.\r\n\r\nNot only performs LLM model inference, Vision LLM combined with 4K Vision AI will also become mainstream.\r\n\r\nTo perform Vision LLM model inference on mobile or edge devices, and to reduce the font factor of the end product,\r\n\r\nnot only the known problems of memory configuration, computing power, and memory bandwidth,\r\n\r\nhow to solve the overheating problem with the advanced package of COWOS and WOW stacked up will be a more severe challenge.\r\n\r\nThe Inventec Magna™ NPU IP series provides ultra-low power consumption solutions with the highest computing density for Vision LLM, which can systematically solve the above problems.(字串長度:876)'),(6751,'2024-09-18 12:06:54',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->*10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\n*Vice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\n*Mentor at NCKU Phoenix Startup Platform.\n*Lecturer on Generative AI at ITRI College of Industry.\n*Recipient of the AI Award for Best Speaker from the Taiwan AI Academy.\n*Co-founder of the International Institute for Innovative Biomedical Technology.\n*Lecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1498)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6752,'2024-09-18 12:09:50',50,'desc---->Generative AI is very popular this year, and major software and hardware companies have invested in it.\r\n\r\nThis trend will quickly extend to mobile or edge devices in the future.\r\n\r\nFor example, PC, mobile phone, AR/VR, home products, etc.\r\n\r\nNot only performs LLM model inference, Vision LLM combined with 4K Vision AI will also become mainstream.\r\n\r\nTo perform Vision LLM model inference on mobile or edge devices, and to reduce the font factor of the end product,\r\n\r\nnot only the known problems of memory configuration, computing power, and memory bandwidth,\r\n\r\nhow to solve the overheating problem with the advanced package of COWOS and WOW stacked up will be a more severe challenge.\r\n\r\nThe Inventec Magna™ NPU IP series provides ultra-low power consumption solutions with the highest computing density for Vision LLM, which can systematically solve the above problems.(字串長度:876)---->Generative AI is very popular this year, and major software and hardware companies have invested in it.\nThis trend will quickly extend to mobile or edge devices in the future.\nFor example, PC, mobile phone, AR/VR, home products, etc.\nNot only performs LLM model inference, Vision LLM combined with 4K Vision AI will also become mainstream.\nTo perform Vision LLM model inference on mobile or edge devices, and to reduce the font factor of the end product,not only the known problems of memory configuration, computing power, and memory bandwidth,how to solve the overheating problem with the advanced package of COWOS and WOW stacked up will be a more severe challenge.\n\nThe Inventec Magna™ NPU IP series provides ultra-low power consumption solutions with the highest computing density for Vision LLM, which can systematically solve the above problems.(字串長度:854)'),(6753,'2024-09-18 12:09:50',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1491)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6754,'2024-09-18 12:12:55',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用  \n(字串長度:45)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6755,'2024-09-18 12:14:59',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\n   We will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\n   In the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\n    For image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\n    Through these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2054)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6756,'2024-09-18 12:16:57',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->(字串長度:0)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2040)```me_desc---->胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。    胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:869)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6757,'2024-09-18 12:19:54',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\n\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\n\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\n\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\n\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2040)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6758,'2024-09-18 12:23:05',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6759,'2024-09-18 12:35:26',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6760,'2024-09-18 12:36:09',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6761,'2024-09-18 12:41:34',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6762,'2024-09-18 12:42:47',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6763,'2024-09-18 12:45:01',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74(字串長度:50)'),(6764,'2024-09-18 12:50:04',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/   ;   https://www.gvm.com.tw/article/110282(字串長度:95)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6765,'2024-09-18 12:50:58',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6766,'2024-09-18 12:51:38',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6767,'2024-09-18 12:51:55',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6768,'2024-09-18 12:53:08',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)');
INSERT INTO `speakers_changelog` VALUES (6769,'2024-09-18 12:54:20',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1484)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6770,'2024-09-18 12:58:02',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->(字串長度:0)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->(字串長度:0)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6771,'2024-09-18 12:58:37',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->(字串長度:0)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1484)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6772,'2024-09-18 12:59:40',79,'name2---->Siang-Wei Hu(字串長度:12)---->Hsiang-Wei Hu(字串長度:13)```anchor---->siang-wei-hu(字串長度:12)---->hsiang-wei-hu(字串長度:13)```talk_title---->(字串長度:0)---->Advancing Medical Innovation with Multimodal Edge Computing Technologies(字串長度:72)```talk_title2---->多模態邊緣運算於醫療創新應用  \r\n(字串長度:46)---->多模態邊緣運算於醫療創新應用(字串長度:42)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->工研院資通所   (字串長度:21)---->Industrial Technology Research Institute(字串長度:40)```position---->智慧運算組 博士(字串長度:22)---->(字串長度:0)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\n\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\n\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\n\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\n\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2048)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1484)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/hsiang-wei-hu-19b23b74/(字串長度:51)'),(6773,'2024-09-18 13:03:56',25,'me_desc---->(字串長度:0)---->Prof. Yuh-Jye Lee is a computer scientist who holds a PhD in Computer Sciences from UW-Madison (2001). He has held positions at esteemed universities, including National Chun Cheng University, Taiwan Tech, and National Yang Ming Chiao Tung University.\n\nProf. Lee also had the opportunity to serve the government from November 2020 to January 2023 as the Deputy Executive Secretary of the Office of Science and Technology Policy, National Science and Technology Council. This office is responsible for Taiwan\'s science and technology policies, budget allocation, and the review of national-level science and technology projects.  He serves as the Chief Executive Officer of the Taiwan Information Security Center at the Research Center for Information Technology Innovation (CITI), Academia Sinica in the period of Aug. 2023 to Feb. 2024 and Sept. 2018 to Feb. 2021. He is a research fellow at CITI since Aug. 2023.\n\nProf. Lee\'s research primarily focuses on AI, data science, machine learning, federated learning, and information security. In essence, his research is centered on AI in security and security in AI. He is also in charge of the TAIDE project, which stands for Trustworthy AI Dialogue Engine.\n(字串長度:1207)'),(6774,'2024-09-18 13:03:57',79,'position---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Divi(字串長度:100)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2040)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1491)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)'),(6775,'2024-09-18 13:05:18',79,'position---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Divi(字串長度:100)---->Information and Communications Research Laboratories(ICL), Computational Intelligent Technology Division, Engineer (字串長度:115)```desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2040)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1491)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)'),(6776,'2024-09-18 16:39:27',8,'talk_title---->(字串長度:0)---->Intelligent Computing X Edge Al in Driving Innovation in the Al Era(字串長度:67)```can_playback---->(字串長度:0)---->V(字串長度:1)```position---->President, Taiwan & SEA\r\nAustralia, New Zealand\r\nVice President(字串長度:63)---->Vice President of Qualcomm Technologies, Inc. and the President of Qualcomm Taiwan and South East Asia, Australia, New Zealand(字串長度:126)```desc---->(字串長度:0)---->Generative AI applications are quickly transforming into indispensable tools for individuals and businesses alike, with an estimated annual economic impact of $2.6T–4.4T. With more than 15 years of investment in AI research and development, Qualcomm stands at the forefront of on-device AI innovation. In this session, we will explore how AI is being enabled across various segments and showcase how Qualcomm empowers developers to drive the next generation of AI-driven advancements.(字串長度:486)```me_desc---->劉思泰先生是高通副總裁暨台灣、東南亞與紐澳區總裁。出生於馬來西亞，他曾在馬來西亞、新加坡和英國接受教育。\n劉思泰負責高通在此區域的所有業務和營運。在此之前，他擔任高通公司副總裁暨台灣區總裁。\n劉思泰在通訊產業擁有三十年以上領導業務和研發的資歷，曾任宏碁股份有限公司的智慧產品事業總裁，並在瑞士和台灣居住期間，負責針對全球市場、非PC產品線的研發和銷售。\n加入宏碁之前，劉思泰在摩托羅拉（Motorola）公司任職超過十八年，帶領區域研發團隊，後來也負責全球產品規劃和業務團隊，產品涵蓋行動無線電、呼叫器、數據終端設備到蜂巢式無線通訊產品。任職期間，他曾居住在中國、韓國、美國和印度。\n劉思泰擁有新加坡國立大學工商管理碩士學位，及英國里茲大學電機及電子工程學位。(字串長度:962)---->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.\r\n\r\nIn 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. \r\n\r\nST 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. \r\n\r\nBefore 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. \r\n\r\nLiew 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:1213)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6777,'2024-09-18 16:39:27',10,'talk_title---->(字串長度:0)---->資通訊業AI 2.0之布局與實踐(字串長度:36)```talk_title2---->(字串長度:0)---->資通訊業AI 2.0之布局與實踐(字串長度:36)'),(6778,'2024-09-18 16:39:28',53,'talk_title---->(字串長度:0)---->From Silicon Design to Software Stack: AMD AI Strategy(字串長度:54)```desc---->(字串長度:0)---->AMD not only has the broadest AI product portfolio but also leads in silicon design and packaging technologies. AMD pioneers chiplet modular design and 3.5D packaging in AI Accelerator. Together with Open and Proven software/hardware stack, AMD aims to advance the AI development with the ecosystem through deep collaboration.(字串長度:326)'),(6779,'2024-09-18 16:39:28',79,'desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\r\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\r\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\r\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\r\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2040)---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)```me_desc---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\r\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\r\nMentor at NCKU Phoenix Startup Platform.\r\nLecturer on Generative AI at ITRI College of Industry.\r\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\r\nCo-founder of the International Institute for Innovative Biomedical Technology.\r\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\r\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1494)---->10 years of AI research and commercialization experience, specializing in time series forecasting, multimodal language models, 2D/3D image generation and segmentation, and knowledge graphs.\nVice Chair and Supervisor of the Continuing Education and Exchange Committee, Taiwan AI Academy.\nMentor at NCKU Phoenix Startup Platform.\nLecturer on Generative AI at ITRI College of Industry.\nRecipient of the AI Award for Best Speaker from the Taiwan AI Academy.\nCo-founder of the International Institute for Innovative Biomedical Technology.\nLecturer at New York University, Taipei Medical University, and Mackay Medical College.\n胡翔崴博士為 H.I.T. for Asia、翔安生醫共同創辦人及成大鳳凰新創導師，致力於AI 技術研究10年，曾擔任多間新創技術顧問，擁有多項發明專利、發表超過20篇國際研討會與期刊論文。   現任職於工研院資通所，專注生成式AI技術研發，文字、語音、3D影像、及化合物生成等多模態大型語言模型開發，主要應用於醫療及金融領域，目前已有十多項產品專案與多家機構合作，研發成果協助工研院資通所智慧運算組榮獲台灣人工智慧協會2024 AI Award Best Solutions 特優賞，個人演講能力獲得 Best Speaker 優秀賞。胡翔崴博士以AI技術落地應用共創產業價值為願景，所領導的HIT社群以共學模式每年培育100位生成式 AI 人才為目標，期許能為台灣各領域提升國際競爭力。(字串長度:1487)'),(6780,'2024-09-18 16:39:28',94,'talk_title2---->(字串長度:0)---->討論: 一起建立好的資料基礎建設(字串長度:44)'),(6781,'2024-09-19 09:11:53',50,'talk_title---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\r\n(字串長度:111)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)```desc---->Generative AI is very popular this year, and major software and hardware companies have invested in it.\r\nThis trend will quickly extend to mobile or edge devices in the future.\r\nFor example, PC, mobile phone, AR/VR, home products, etc.\r\nNot only performs LLM model inference, Vision LLM combined with 4K Vision AI will also become mainstream.\r\nTo perform Vision LLM model inference on mobile or edge devices, and to reduce the font factor of the end product,not only the known problems of memory configuration, computing power, and memory bandwidth,how to solve the overheating problem with the advanced package of COWOS and WOW stacked up will be a more severe challenge.\r\n\r\nThe Inventec Magna™ NPU IP series provides ultra-low power consumption solutions with the highest computing density for Vision LLM, which can systematically solve the above problems.(字串長度:860)---->Generative AI is very popular this year, and major software and hardware companies have invested in it.\nThis trend will quickly extend to mobile or edge devices in the future.\nFor example, PC, mobile phone, AR/VR, home products, etc.\nNot only performs LLM model inference, Vision LLM combined with 4K Vision AI will also become mainstream.\nTo perform Vision LLM model inference on mobile or edge devices, and to reduce the font factor of the end product,not only the known problems of memory configuration, computing power, and memory bandwidth,how to solve the overheating problem with the advanced package of COWOS and WOW stacked up will be a more severe challenge.\n\nThe Inventec Magna™ NPU IP series provides ultra-low power consumption solutions with the highest computing density for Vision LLM, which can systematically solve the above problems.(字串長度:854)```me_desc---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\r\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:893)---->Graduated from the Institute of Electrical Engineering of National Chiao Tung University. His research topic is the neural network application of Cerebellar Model Articulation Controller (CMAC) in robot arm control. He is currently the head of the AI ​​NPU IP design team of Inventec AI Research Center. His main expertise is in digital signal processing IP, image processing IP, neural network processor IP, etc., and he has in-depth research on ultra-low energy consumption design of large language models (LLM).\n畢業於國立交通大學電機工程研究所，研究題目為人類小腦模型類神經網路(CMAC) 於機器手臂控制的應用。 現為英業達 AI 研究中心 AI NPU IP晶片設計團隊負責人，主要專長在數位信號處理 IP、影像處理 IP、類神經網路處理器 IP 等方面，並對大型語言模型(LLM)超低能耗設計有深入研究。(字串長度:892)'),(6782,'2024-09-19 09:11:53',92,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6783,'2024-09-19 09:11:53',94,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(6784,'2024-09-19 09:37:20',27,'name2---->(字串長度:0)---->Wen-hsi  Chang(字串長度:14)```anchor---->speaker-27(字串長度:10)---->wen-hsi--chang(字串長度:14)```talk_title---->(字串長度:0)---->Sharing the Experience of Business Transformation Using Artificial Intelligence in the Ministry of Finance.\r(字串長度:108)```talk_title2---->(字串長度:0)---->財政部使用人工智慧進行業務轉型經驗分享(字串長度:57)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->財政部財政資訊中心(字串長度:27)---->Fiscal Information Agency, Ministry of Finance(字串長度:46)```position---->主任(字串長度:6)---->Director-general(字串長度:16)```me_desc---->(字串長度:0)---->(中文)財政部財政資訊中心主任張文熙博士，長期積極研究人工智慧、導入稅務機器人流程自動化、稅務資訊系統優化和規劃次世代稅務行政資訊系統。張主任創設結人工智慧機器新創實驗室，全力投入AI應用研究擴大服務量能，結合學習和大數據等技術進行工作流程分析，建立納稅人異常行為偵測模型。張主任具備資訊系統博士，並同時擁有工業工程學和資訊管理碩士學位。其專長和研究興趣以機器學習應用、數據分析、大型資訊系統規劃等。\n(英文)Dr. Wen-Hsi Chang is the Director-General, Fiscal Information Agency, Ministry of Finance, Taiwan and has been actively involved in artificial intelligence and robotic process automation on taxation process, tax information system optimization and planning a next-generation tax administration information system. Dr. Chang launched an innovation laboratory that integrates machine learning and big data analytics into existing workflows such as detection models on identifying taxpayers’ abnormal behavior. He received his Ph.D. degree in management science on information system management. He also obtained a MS degree in industrial engineering and a MBA degree in information management. His professional expertise and research interests include machine learning application, data analysis, and large-scale information systems planning.\n(字串長度:1444)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6785,'2024-09-19 09:37:20',71,'company---->(字串長度:0)---->台灣人工智慧學校(字串長度:24)```position---->(字串長度:0)---->產學長(字串長度:9)'),(6786,'2024-09-19 09:58:29',5,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->中華民國對外貿易發展協會(字串長度:36)---->James C. F. Huang(字串長度:17)```position---->董事長(字串長度:9)---->Taiwan External Trade Development Council (TAITRA)(字串長度:50)```company2---->(字串長度:0)---->Chairman(字串長度:8)```me_desc---->(字串長度:0)---->James C. F. Huang is the incumbent chairman of the Taiwan External Trade Development Council (TAITRA), an apex body of business and trade promotion organization in Taiwan.Chairman Huang is a dynamic, charismatic and vibrant leader, who is also a distinguished entrepreneur and former diplomat dedicated to promoting Taiwan\'s economic development and international relations.\nPrior to joining TAITRA, Chairman Huang held various senior positions in the government including Minister of Foreign Affairs. He also held several senior consultant and management positions at Taiwan\'s leading technology companies. He has served in the public and private sectors for more than 30 years, accumulated extensive experience in formulating strategy and outstanding negotiation skills.\nBeginning his tenure in TAITRA in 2017, Chairman Huang has initiated several reforms within the organization, including flattening organizational structure, encourage people-to-people interactions and digital transformation. He is also actively involved in helping Taiwan’s business community building international networks by leading high profile delegations to participate in major trade, business and investment events around the world.(字串長度:1215)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6787,'2024-09-19 09:58:29',27,'name2---->Wen-hsi  Chang(字串長度:14)---->Wen-hsi Chang(字串長度:13)```anchor---->wen-hsi--chang(字串長度:14)---->wen-hsi-chang(字串長度:13)'),(6788,'2024-09-19 10:03:34',103,'me_desc---->(字串長度:0)---->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。\r\n\r\n2017 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」。\r\n\r\n2020-2022 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:636)'),(6789,'2024-09-19 10:03:34',15,'me_desc---->(字串長度:0)---->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。\r\n\r\n2017 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」。\r\n\r\n2020-2022 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:636)'),(6790,'2024-09-19 10:07:18',31,'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 traini 資深協理 ng, 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.\r\n\r\n學歷：清華大學跨院國際博士班 - 智慧製造與數位決策\r\n\r\n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\r\n\r\n專長：AI, Big Data, 數位轉型, SaaS\r\n\r\n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\r\n\r\nSAP 德商思愛普 大中華區資深副總經理\r\nOracle 美商甲骨文 應用軟體部副總經理\r\nTeradata 美商天睿資訊系統 資深協理(字串長度:1211)'),(6791,'2024-09-24 08:46:12',4,'desc---->(字串長度:0)---->簡報通常都最後一刻才產出(字串長度:36)'),(6792,'2024-09-24 08:46:12',5,'name2---->(字串長度:0)---->James C. F. Huang(字串長度:17)```anchor---->speaker-5(字串長度:9)---->james-c-f-huang(字串長度:15)```talk_title---->(字串長度:0)---->AI and the Changes of the Century(字串長度:33)```talk_title2---->(字串長度:0)---->全球變局與人工智慧(字串長度:27)```company---->James C. F. Huang(字串長度:17)---->Taiwan External Trade Development Council (TAITRA)(字串長度:50)```position---->Taiwan External Trade Development Council (TAITRA)(字串長度:50)---->Chairman(字串長度:8)```company2---->Chairman(字串長度:8)---->(字串長度:0)'),(6793,'2024-09-24 08:46:12',8,'position_for_agenda---->副總裁台灣、東南亞與紐澳區總裁(字串長度:45)---->副總裁暨台灣、東南亞與紐澳區總裁(字串長度:48)'),(6794,'2024-09-24 08:46:12',13,'name2---->(字串長度:0)---->Wen-Yuh Jywe(字串長度:12)```anchor---->speaker-13(字串長度:10)---->wen-yuh-jywe(字串長度:12)```talk_title---->(字串長度:0)---->The Deepening of AI Applications and Talent Cultivation in the Manufacturing Industry(字串長度:85)```talk_title2---->(字串長度:0)---->製造產業的AI應用與人才培育深化(字串長度:44)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->國立臺灣大學機械工程學系(字串長度:36)---->National Taiwan University(字串長度:26)```position---->終身特聘教授(字串長度:18)---->Department of Mechanical Engineering/Lifetime Distinguished Professor(字串長度:69)```desc---->(字串長度:0)---->In Taiwan, the integration of AI in the manufacturing industry is rapidly advancing, driven by the need for increased efficiency, automation, and competitiveness in the global market. Companies are leveraging AI technologies such as predictive maintenance, quality control, and intelligent automation to optimize production processes. However, the demand for skilled talent capable of developing and applying AI solutions remains a challenge. Taiwan is addressing this by enhancing talent cultivation programs, particularly in universities and technical institutes, to meet the industry’s needs. This includes fostering interdisciplinary skills that combine AI expertise with manufacturing knowledge, ensuring that Taiwan remains at the forefront of smart manufacturing.\r\n\r\n在台灣，製造業中人工智慧的整合正在迅速推進，主要是由提高效率、自動化和全球市場競爭力的需求所驅動。企業正在利用AI技術，如預測性維護、質量控制和智能自動化來優化生產流程。然而，能夠開發和應用AI解決方案的技能人才需求仍然是一大挑戰。台灣正通過加強人才培育計劃，特別是在大學和技術學院，來應對這一挑戰。這包括培養結合AI專業知識與製造業知識的跨學科技能，確保台灣在智慧製造領域保持領先地位。(字串長度:1346)```me_desc---->(字串長度:0)---->The Lifetime Distinguished Professor of National Taiwan University (NTU), Dr. Wen-Yuh Jywe, is a specialist in optical precision measurement, machine tool calibration measurement, precise positioning stage design, and implementation of IIOT. During his doctoral study in University of Manchester Institute of Science and Technology (UMIST), he developed a measurement system for CNC machine tools based on Ball-Bar technology, which has now marketed worldwide. He has served in NFU as the President, the dean of Engineering College, the dean of Research and Development and, Secretary-general, etc. He organized a research team in which members were composed of over 20 professors and 40 full-time engineers, and is running many intelligent machine plans founded by Taiwan Government in recent years. The research results have now affected the domestic and international industries. He is author and co-author of more than 250 publications as journal and conference proceeding papers. (字串長度:985)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->http://www.me.ntu.edu.tw/main.php?mod=adv_custom_page&func=show_page&site_id=0&page_id=299(字串長度:90)'),(6795,'2024-09-24 08:46:12',14,'talk_title---->(字串長度:0)---->Boost Productivity & Innovation – MediaTek DaVinci GenAI Platform(字串長度:67)```talk_title2---->(字串長度:0)---->從個人生產力到企業競爭力 - MediaTek DaVinci GenAI Platform(字串長度:70)```desc---->(字串長度:0)---->MediaTek DaVinci, based on MediaTek\'s Generative AI Service Framework (GAISF), was initially developed as a data-secure, productivity-enhancing generative AI tool for the MediaTek group\'s internal use. It has been widely used by various departments, and has evolved into a generative AI service platform that can be imported by external enterprises, and a rich set of ecosystem.\r\n\r\nDozens of companies from high-tech, financial, telecom, legal, manufacturing, sales, service, system integration, and cloud services industries, as well as educational institutions and start-ups, have already joined the MediaTek Davinci ecosystem.\r\n\r\nMediaTek Davinci provides a highly integrated and scalable open platform that allows developers to create customized generative AI extension plug-ins and assistants for various industries, while enterprises can make good use of the platform\'s rich tools to improve productivity and competitiveness in a data-secure environment.\r\n\r(字串長度:963)'),(6796,'2024-09-24 08:46:12',103,'talk_title---->(字串長度:0)---->以人為本的 AI 治理 -- 目標、現實與想像 2024(字串長度:58)'),(6797,'2024-09-24 08:46:12',22,'name---->吳誠文(字串長度:9)---->簡立峰(字串長度:9)```name2---->(字串長度:0)---->Lee-Feng Chien(字串長度:14)```anchor---->speaker-22(字串長度:10)---->lee-feng-chien(字串長度:14)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->國家科學及技術委員會(字串長度:30)---->Appier(字串長度:6)```position---->主任委員(字串長度:12)---->Independent Director (字串長度:21)```me_desc---->(字串長度:0)---->Dr. Lee-Feng Chien has long been focusing on the development of software technology and innovation. From 2006 to 2020, he served as the first Managing Director of Google Taiwan and successfully transformed it into the largest R&D center in Asia. Post-retirement in 2020, Dr. Chien has been actively engaged in Taiwan\'s entrepreneurial  ecosystem, serving on the boards of AI startups such as Appier and iKala. Notably, Appier was successfully listed in Japan and became Taiwan’s first AI unicorn. He also co-founded an angel fund, and mentors numerous startups, as well as serving as a member of the Executive Yuan\'s Economic Development Committee. Dr. Chien is also deeply involved in academia. As a pioneer in Chinese natural language processing and AI, he obtained his Ph.D. from NTU CSIE in 1991 for his research on Chinese language models. Between 1993 and 2006, he was a research fellow at the Institute of Information Science, Academia Sinica, while concurrently teaching at the Department of Information Management at National Taiwan University from 2001 to 2006. (字串長度:1074)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6798,'2024-09-24 08:46:13',27,'talk_title---->Sharing the Experience of Business Transformation Using Artificial Intelligence in the Ministry of Finance.\r(字串長度:108)---->Sharing the Experience of Business Transformation Using Artificial Intelligence in the Ministry of Finance.\n(字串長度:108)'),(6799,'2024-09-24 08:46:13',71,'talk_title---->Close Talk(字串長度:10)---->用AI強大台灣、均衡台灣: 讓人才成為擴展與加深影響力的引擎(字串長度:82)'),(6800,'2024-09-24 08:46:13',39,'desc---->(字串長度:0)---->AI for all applications: value chain sustains supply chain\r\n\r\nAIoT, AI + IoT, not AI + Internet, for Taiwan penetrating global market\r\n\r\nBig data for AI, open standards for big data\r\n\r\nAIoT Digital Transformation enables trillion $ IoT market\r\n\r\nKiller AI application + Free Downloads: Booming IoT Ecosystems\r\n\r\n (字串長度:313)'),(6801,'2024-09-24 08:46:13',43,'position_for_agenda---->產品顧問\n(字串長度:13)---->產品顧問(字串長度:12)'),(6802,'2024-09-24 08:46:13',45,'desc---->For individual users, as the leader in high-performance Gaming PCs, MSI is integrating AI technology into its innovations, such as a self-developed small language model preloaded in MSI AI PCs. This model supports offline generative AI capabilities, addressing user needs for data privacy protection and real-time responsiveness.(字串長度:329)---->AI is leading a revolution in music streaming, reshaping user experiences and industry dynamics. This session will examine how AI innovations drive personalized recommendations, influence content distribution, and open new paths for engagement. Discover how AI is setting the stage for the future of music streaming.\n\nAI 正在引領音樂串流的革命，重塑用戶體驗和產業動態。本次演講將探討 AI 創新如何推動個性化推薦、影響內容分發並開創新的互動方式。了解 AI 如何為音樂串流的未來鋪路。(字串長度:551)'),(6803,'2024-09-24 08:46:13',52,'talk_title---->(字串長度:0)---->Building the AI Compute Platform of the Future(字串長度:46)```talk_title2---->(字串長度:0)---->建構未來的人工智慧運算平台(字串長度:39)```desc---->(字串長度:0)---->The demand for AI has been growing rapidly across various sectors, driven by its potential to revolutionize industries and enhance efficiency, decision-making, and innovation. Computing is a foundational requirement for AI as it provides the hardware and software infrastructure necessary for process data, perform calculations, and run complex algorithms.  Arm’s energy efficient foundations and pervasive footprint from cloud to edge, make us the AI platform the world can rely on, both today and in the future. In this presentation, we will share Arm’s vision and technologies building for AI world.(字串長度:606)```me_desc---->(字串長度:0)---->David Hsu  \r\nFAE Director, Arm Taiwan \r\nDavid Hsu is FAE Director of Arm, leading FAE team of Taiwan for closer \r\ncollaboration and communications internally and externally to accomplish \r\npartners and customers solutions. He has over 20 years of professional \r\nexperience in the semiconductor industry. \r\nDavid Hsu joined Arm in 2011 as a CPU FAE as well as responsible for product \r\nmarketing and sales project management and then left in 2017. After then, he \r\njoined Intelligo, a start-up invested by MediaTek, leading the business \r\ndevelopment team to explore opportunities in Japan, Korea, and US. In 2019 \r\nDavid was recruited by Arm again as FAE director to drive Arm’s IP solutions \r\nadoption.  \r\nIn addition to Arm, David worked at Faraday, Alpha Imaging Technology \r\n(MediaTek subsidiary) and BenQ, focusing on IC design work ranging from \r\narchitecture definition, RTL coding, front-end/back-end implementation to IC \r\nverification and testing. He has rich experience in pre-sales strategy set-up \r\nand sales enablement.  \r\nDavid received a master’s degree in Computer Science and Engineering at \r\nNational Chiao Tung University.  \r\n徐達勇   \r\n  \r\nArm 應用工程總監 \r\n徐達勇目前為Arm應用工程總監，帶導台灣FAE團隊與內部跨部門和外部更\r\n密切地合作與溝通，以完成合作夥伴與客戶所需的解決方案。 他在半導體產\r\n業擁有超過20年的專業經驗。 \r\n徐達勇於2011年加入Arm並擔任CPU應用工程師，同時也負責產品行銷和銷\r\n售專案管理。於2017年離開Arm之後，他加入聯發科轉投資的新創公司\r\nIntelligo，帶領業務團隊成功開發日本、韓國與美國市場。2019年他再次被邀\r\n請回到Arm擔任應用工程總監，致力推動並協助客戶採用Arm IP解決方案。 \r\n除了Arm之外，他也曾經任職於Faraday、聯發科分公司Alpha Imaging \r\nTechnology 和 BenQ，專注從事在IC設計相關工作，從架構的定義、RTL編\r\n碼、前端/後端執行，以及到IC驗證與測試。在售前策略擬定和推動銷售擁有\r\n豐富的經驗。 \r\n徐達勇擁有國立交通大學電腦科學工程學系碩士學位。(字串長度:2175)'),(6804,'2024-09-24 08:46:13',57,'position_for_agenda---->(字串長度:0)---->醫療長(字串長度:9)'),(6805,'2024-09-24 09:45:31',3,'name---->卓榮泰(字串長度:9)---->蕭美琴(字串長度:9)```name2---->(字串長度:0)---->Bi-khim Hsiao(字串長度:13)```anchor---->speaker-3(字串長度:9)---->bi-khim-hsiao(字串長度:13)```company---->行政院(字串長度:9)---->Taiwan (R.O.C.)(字串長度:15)```position---->院長(字串長度:6)---->Vice President(字串長度:14)```company_for_agenda---->行政院(字串長度:9)---->R.O.C.(字串長度:6)```position_for_agenda---->院長(字串長度:6)---->副總統(字串長度:9)'),(6806,'2024-09-24 09:45:31',4,'desc---->簡報通常都最後一刻才產出(字串長度:36)---->(字串長度:0)'),(6807,'2024-09-24 09:45:31',5,'me_desc---->James C. F. Huang is the incumbent chairman of the Taiwan External Trade Development Council (TAITRA), an apex body of business and trade promotion organization in Taiwan.Chairman Huang is a dynamic, charismatic and vibrant leader, who is also a distinguished entrepreneur and former diplomat dedicated to promoting Taiwan\'s economic development and international relations.\r\nPrior to joining TAITRA, Chairman Huang held various senior positions in the government including Minister of Foreign Affairs. He also held several senior consultant and management positions at Taiwan\'s leading technology companies. He has served in the public and private sectors for more than 30 years, accumulated extensive experience in formulating strategy and outstanding negotiation skills.\r\nBeginning his tenure in TAITRA in 2017, Chairman Huang has initiated several reforms within the organization, including flattening organizational structure, encourage people-to-people interactions and digital transformation. He is also actively involved in helping Taiwan’s business community building international networks by leading high profile delegations to participate in major trade, business and investment events around the world.(字串長度:1217)---->James C. F. Huang is the incumbent chairman of the Taiwan External Trade Development Council (TAITRA), an apex body of business and trade promotion organization in Taiwan.Chairman Huang is a dynamic, charismatic and vibrant leader, who is also a distinguished entrepreneur and former diplomat dedicated to promoting Taiwan\'s economic development and international relations.\nPrior to joining TAITRA, Chairman Huang held various senior positions in the government including Minister of Foreign Affairs. He also held several senior consultant and management positions at Taiwan\'s leading technology companies. He has served in the public and private sectors for more than 30 years, accumulated extensive experience in formulating strategy and outstanding negotiation skills.\nBeginning his tenure in TAITRA in 2017, Chairman Huang has initiated several reforms within the organization, including flattening organizational structure, encourage people-to-people interactions and digital transformation. He is also actively involved in helping Taiwan’s business community building international networks by leading high profile delegations to participate in major trade, business and investment events around the world.(字串長度:1215)'),(6808,'2024-09-24 09:45:31',13,'desc---->In Taiwan, the integration of AI in the manufacturing industry is rapidly advancing, driven by the need for increased efficiency, automation, and competitiveness in the global market. Companies are leveraging AI technologies such as predictive maintenance, quality control, and intelligent automation to optimize production processes. However, the demand for skilled talent capable of developing and applying AI solutions remains a challenge. Taiwan is addressing this by enhancing talent cultivation programs, particularly in universities and technical institutes, to meet the industry’s needs. This includes fostering interdisciplinary skills that combine AI expertise with manufacturing knowledge, ensuring that Taiwan remains at the forefront of smart manufacturing.\r\n\r\n在台灣，製造業中人工智慧的整合正在迅速推進，主要是由提高效率、自動化和全球市場競爭力的需求所驅動。企業正在利用AI技術，如預測性維護、質量控制和智能自動化來優化生產流程。然而，能夠開發和應用AI解決方案的技能人才需求仍然是一大挑戰。台灣正通過加強人才培育計劃，特別是在大學和技術學院，來應對這一挑戰。這包括培養結合AI專業知識與製造業知識的跨學科技能，確保台灣在智慧製造領域保持領先地位。(字串長度:1346)---->In Taiwan, the integration of AI in the manufacturing industry is rapidly advancing, driven by the need for increased efficiency, automation, and competitiveness in the global market. Companies are leveraging AI technologies such as predictive maintenance, quality control, and intelligent automation to optimize production processes. However, the demand for skilled talent capable of developing and applying AI solutions remains a challenge. Taiwan is addressing this by enhancing talent cultivation programs, particularly in universities and technical institutes, to meet the industry’s needs. This includes fostering interdisciplinary skills that combine AI expertise with manufacturing knowledge, ensuring that Taiwan remains at the forefront of smart manufacturing.\n\n在台灣，製造業中人工智慧的整合正在迅速推進，主要是由提高效率、自動化和全球市場競爭力的需求所驅動。企業正在利用AI技術，如預測性維護、質量控制和智能自動化來優化生產流程。然而，能夠開發和應用AI解決方案的技能人才需求仍然是一大挑戰。台灣正通過加強人才培育計劃，特別是在大學和技術學院，來應對這一挑戰。這包括培養結合AI專業知識與製造業知識的跨學科技能，確保台灣在智慧製造領域保持領先地位。(字串長度:1344)'),(6809,'2024-09-24 09:45:31',14,'desc---->MediaTek DaVinci, based on MediaTek\'s Generative AI Service Framework (GAISF), was initially developed as a data-secure, productivity-enhancing generative AI tool for the MediaTek group\'s internal use. It has been widely used by various departments, and has evolved into a generative AI service platform that can be imported by external enterprises, and a rich set of ecosystem.\r\n\r\nDozens of companies from high-tech, financial, telecom, legal, manufacturing, sales, service, system integration, and cloud services industries, as well as educational institutions and start-ups, have already joined the MediaTek Davinci ecosystem.\r\n\r\nMediaTek Davinci provides a highly integrated and scalable open platform that allows developers to create customized generative AI extension plug-ins and assistants for various industries, while enterprises can make good use of the platform\'s rich tools to improve productivity and competitiveness in a data-secure environment.\r\n\r\n(字串長度:964)---->MediaTek DaVinci, based on MediaTek\'s Generative AI Service Framework (GAISF), was initially developed as a data-secure, productivity-enhancing generative AI tool for the MediaTek group\'s internal use. It has been widely used by various departments, and has evolved into a generative AI service platform that can be imported by external enterprises, and a rich set of ecosystem.\n\nDozens of companies from high-tech, financial, telecom, legal, manufacturing, sales, service, system integration, and cloud services industries, as well as educational institutions and start-ups, have already joined the MediaTek Davinci ecosystem.\n\nMediaTek Davinci provides a highly integrated and scalable open platform that allows developers to create customized generative AI extension plug-ins and assistants for various industries, while enterprises can make good use of the platform\'s rich tools to improve productivity and competitiveness in a data-secure environment.\n\n(字串長度:958)```me_desc---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\r\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\r\n\r\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\r\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\r\n\r\n(字串長度:677)---->Jason Yeh is the head of AIDE (AI & Data Engineering) at MediaTek. AIDE\'s mission is to empower BU/FU to adopt AI to boost productivity.\nHe has 27 years of experience in semiconductor IT, big data and AI. Prior to joining MediaTek, he worked for TSMC. He received his MBA degree in Management Information System from National Chengchi University, Taiwan.\n\n葉家順是聯發科技人工智慧暨數據工程主管，負責協助各單位導入AI以提升生產力。\n他在半導體產業的IT、大數據、人工智慧等領域有27年的工作經驗。在加入聯發科技之前，他在台積電工作。他畢業於台灣政治大學資訊管理研究所碩士。\n\n(字串長度:671)'),(6810,'2024-09-24 09:45:32',27,'talk_title---->Sharing the Experience of Business Transformation Using Artificial Intelligence in the Ministry of Finance.\r\n(字串長度:109)---->Sharing the Experience of Business Transformation Using Artificial Intelligence in the Ministry of Finance.\n(字串長度:108)```me_desc---->(中文)財政部財政資訊中心主任張文熙博士，長期積極研究人工智慧、導入稅務機器人流程自動化、稅務資訊系統優化和規劃次世代稅務行政資訊系統。張主任創設結人工智慧機器新創實驗室，全力投入AI應用研究擴大服務量能，結合學習和大數據等技術進行工作流程分析，建立納稅人異常行為偵測模型。張主任具備資訊系統博士，並同時擁有工業工程學和資訊管理碩士學位。其專長和研究興趣以機器學習應用、數據分析、大型資訊系統規劃等。\r\n(英文)Dr. Wen-Hsi Chang is the Director-General, Fiscal Information Agency, Ministry of Finance, Taiwan and has been actively involved in artificial intelligence and robotic process automation on taxation process, tax information system optimization and planning a next-generation tax administration information system. Dr. Chang launched an innovation laboratory that integrates machine learning and big data analytics into existing workflows such as detection models on identifying taxpayers’ abnormal behavior. He received his Ph.D. degree in management science on information system management. He also obtained a MS degree in industrial engineering and a MBA degree in information management. His professional expertise and research interests include machine learning application, data analysis, and large-scale information systems planning.\r\n(字串長度:1446)---->財政部財政資訊中心主任張文熙博士，長期積極研究人工智慧、導入稅務機器人流程自動化、稅務資訊系統優化和規劃次世代稅務行政資訊系統。張主任創設結人工智慧機器新創實驗室，全力投入AI應用研究擴大服務量能，結合學習和大數據等技術進行工作流程分析，建立納稅人異常行為偵測模型。張主任具備資訊系統博士，並同時擁有工業工程學和資訊管理碩士學位。其專長和研究興趣以機器學習應用、數據分析、大型資訊系統規劃等。\nDr. Wen-Hsi Chang is the Director-General, Fiscal Information Agency, Ministry of Finance, Taiwan and has been actively involved in artificial intelligence and robotic process automation on taxation process, tax information system optimization and planning a next-generation tax administration information system. Dr. Chang launched an innovation laboratory that integrates machine learning and big data analytics into existing workflows such as detection models on identifying taxpayers’ abnormal behavior. He received his Ph.D. degree in management science on information system management. He also obtained a MS degree in industrial engineering and a MBA degree in information management. His professional expertise and research interests include machine learning application, data analysis, and large-scale information systems planning.\n(字串長度:1428)'),(6811,'2024-09-24 09:45:32',52,'me_desc---->David Hsu  \r\nFAE Director, Arm Taiwan \r\nDavid Hsu is FAE Director of Arm, leading FAE team of Taiwan for closer \r\ncollaboration and communications internally and externally to accomplish \r\npartners and customers solutions. He has over 20 years of professional \r\nexperience in the semiconductor industry. \r\nDavid Hsu joined Arm in 2011 as a CPU FAE as well as responsible for product \r\nmarketing and sales project management and then left in 2017. After then, he \r\njoined Intelligo, a start-up invested by MediaTek, leading the business \r\ndevelopment team to explore opportunities in Japan, Korea, and US. In 2019 \r\nDavid was recruited by Arm again as FAE director to drive Arm’s IP solutions \r\nadoption.  \r\nIn addition to Arm, David worked at Faraday, Alpha Imaging Technology \r\n(MediaTek subsidiary) and BenQ, focusing on IC design work ranging from \r\narchitecture definition, RTL coding, front-end/back-end implementation to IC \r\nverification and testing. He has rich experience in pre-sales strategy set-up \r\nand sales enablement.  \r\nDavid received a master’s degree in Computer Science and Engineering at \r\nNational Chiao Tung University.  \r\n徐達勇   \r\n  \r\nArm 應用工程總監 \r\n徐達勇目前為Arm應用工程總監，帶導台灣FAE團隊與內部跨部門和外部更\r\n密切地合作與溝通，以完成合作夥伴與客戶所需的解決方案。 他在半導體產\r\n業擁有超過20年的專業經驗。 \r\n徐達勇於2011年加入Arm並擔任CPU應用工程師，同時也負責產品行銷和銷\r\n售專案管理。於2017年離開Arm之後，他加入聯發科轉投資的新創公司\r\nIntelligo，帶領業務團隊成功開發日本、韓國與美國市場。2019年他再次被邀\r\n請回到Arm擔任應用工程總監，致力推動並協助客戶採用Arm IP解決方案。 \r\n除了Arm之外，他也曾經任職於Faraday、聯發科分公司Alpha Imaging \r\nTechnology 和 BenQ，專注從事在IC設計相關工作，從架構的定義、RTL編\r\n碼、前端/後端執行，以及到IC驗證與測試。在售前策略擬定和推動銷售擁有\r\n豐富的經驗。 \r\n徐達勇擁有國立交通大學電腦科學工程學系碩士學位。(字串長度:2175)---->David Hsu is FAE Director of Arm, leading FAE team of Taiwan for closer collaboration and communications internally and externally to accomplish partners and customers solutions. He has nearly 20 years of professional experience in the semiconductor industry.David Hsu joined Arm in 2011 as a CPU FAE as well as responsible for product marketing and sales project management and then left in 2017. After then, he joined Intelligo, a start-up invested by MediaTek, leading the business development team to explore opportunities in Japan, Korea and US. In 2019 he was recruited by Arm again as FAE director to drive Arm’s IP solutions adoption. In addition to Arm, David worked at Faraday, Alpha Imaging Technology (MediaTek subsidiary) and BenQ, focusing on IC design work ranging from architecture definition, RTL coding, front-end/back-end implementation to IC verification and testing. He has rich experience in pre-sales strategy set-up and sales enablement. David received a master’s degree in Computer Science and Engineering at National Chiao Tung University.(字串長度:1069)'),(6812,'2024-09-24 10:45:19',23,'name---->鄭振牟(字串長度:9)---->許永真(字串長度:9)```hide---->1(字串長度:1)---->0(字串長度:1)```talk_title---->(字串長度:0)---->AI 的平衡木：技術突破、倫理邊界與國家安全(字串長度:60)```company---->長庚大學人工智慧學系(字串長度:30)---->長庚大學智慧運算學院(字串長度:30)```position---->教授(字串長度:6)---->副院長(字串長度:9)```me_desc---->(字串長度:0)---->許永真教授現任於臺大資訊工程學系暨網路與多媒體研究所，曾任臺大資訊系主任。許教授致力於人工智慧研究領域逾三十年，研究主題含智慧型多代理人、資料分析、知識建構、常識運算、感知服務、及智慧型物聯網技術。 自2012年起，許教授擔任Intel台大創新研究中心主任，積極進行跨國、跨校、跨領域、跨產學合作，研發物聯網於智慧農業、智慧運輸、與智慧家庭之相關技術。2016年在台大、科技部、英特爾實驗室、台達電、與研華共同支持下，開始進行擴充人機互動於未來智慧製造之研究。以「臺大智慧聯網創新研究中心」的新標幟，成長發展為物聯網、人工智慧、與人機互動相關研究的重鎮。\r\n許教授活躍於國際學術領域，曾擔任台灣人工智慧學會理事長，TAAI、IEEE iThings、AAAI SocialNLP Workshop等國際會議的議程主席; 以及Intelligent Data Analysis, Service-Oriented Computing and Applications, JISE等國際期刊之編輯委員。許教授目前於資訊系開授人工智慧相關課程，並合授網媒所「物聯網產品設計與創新」、創新設計學院「智齡設計—老人科技福祉專題」，透過跨領域合作來激發學生創新思考與前瞻技術實現。(字串長度:1336)'),(6813,'2024-09-24 10:45:20',88,'hide---->1(字串長度:1)---->0(字串長度:1)```me_desc---->Mu-Yueh Lee / Generative AI Community Curator\r\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\r\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\r\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\r\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\r\n\r\n(字串長度:800)---->Mu-Yueh Lee / Generative AI Community Curator\nMu-Yueh Lee focuses on promoting \"coding with AI\" (blog.gaiconf.com), dedicated to helping non-engineers use ChatGPT to write automation scripts, allowing office workers to complete tasks more efficiently.\nAs the curator of the Generative AI community, Mu-Yueh organizes the annual Generative AI Conference (gaiconf.com) and monthly meetups.\nIn addition, Mu-Yueh is the founder of Mu-Yueh Co., Ltd. (muyueh.com), a company specializing in customized information systems and AI integration services. Clients include Chunghwa Telecom, FarEasTone Telecom, E.SUN Bank, and the World Health Organization.\nMu-Yueh graduated from National Taiwan University with a degree in Business Administration and is skilled in data analysis and data visualization.\n\n(字串長度:794)'),(6814,'2024-09-24 11:01:04',23,'website---->(字串長度:0)---->http://agents.csie.ntu.edu.tw/~yjhsu/(字串長度:37)'),(6815,'2024-09-24 11:14:29',74,'hide---->0(字串長度:1)---->1(字串長度:1)'),(6816,'2024-09-24 15:26:40',12,'desc---->(字串長度:0)---->This presentation examines the pivotal role of Artificial Intelligence (AI) in driving the digital transformation of the steel industry, with a particular focus on the exemplary case of China Steel Corporation (CSC). It showcases CSC\'s pioneering AI initiatives, including:\n\n  ‧A 5G-enabled, AI-powered remote crane operation system, augmented by digital twin technology.\n  ‧The strategic deployment of digital twin technology for production process optimization.\n  ‧The integration of generative AI applications, such as intelligent ERP assistants and maintenance expert systems.\n\nThe presentation elucidates how these AI-driven strategies effectively address industry-specific challenges, enhance operational efficiency, and foster knowledge dissemination within the steel sector.(字串長度:788)'),(6817,'2024-09-24 15:26:40',29,'desc---->(字串長度:0)---->This presentation primarily explores how generative AI is revolutionizing knowledge management. It begins by elucidating the necessity of knowledge management and the limitations of traditional approaches. The presentation then introduces how generative AI optimizes knowledge management processes through its comprehension capabilities, retrieval-augmented generation techniques, and integration with external tools. Several real-world case studies are presented, demonstrating the application of generative AI across various domains, including disaster prevention and relief, financial information, and construction. The benefits and risks of implementing generative AI in knowledge management are discussed, including considerations for information security. The presentation concludes by emphasizing the future directions of generative AI in knowledge management, anticipating its emergence as an essential tool for knowledge workers.\n\n這份簡報主要探討生成式 AI 如何革新知識管理。首先說明知識管理的必要性，以及傳統知識管理的局限性，接著介紹生成式 AI 如何透過理解能力、檢索增強生成技術、以及與外部工具整合，來優化知識管理流程。簡報還舉出多個實際案例，展示生成式 AI 在不同領域的應用，例如災害防救、金融資訊、建築營造等，並討論導入生成式 AI 知識管理的效益和風險，包括在資訊安全上的考量。簡報最後強調生成式 AI 知識管理的未來發展方向，預期將成為知識工作者的重要工具。(字串長度:1569)'),(6818,'2024-09-24 15:26:40',64,'talk_title---->Multimodal RAG Framework (字串長度:25)---->Implementing RAG in Multimodal Architectures for Image Generation(字串長度:65)```desc---->(字串長度:0)---->RAG (Retrieval-Augmented Generation) has become a mainstream method for enhancing responses from large language models. In recent years, multimodal LLM has been developing increasingly well, and similar approaches in multimodal LLM application scenarios and implementation methods are worth exploring. This presentation will discuss the implementation of multimodal LLM in the RAG process, and share practical applications using image generation as a case study.(字串長度:462)'),(6819,'2024-09-24 15:43:06',12,'desc---->This presentation examines the pivotal role of Artificial Intelligence (AI) in driving the digital transformation of the steel industry, with a particular focus on the exemplary case of China Steel Corporation (CSC). It showcases CSC\'s pioneering AI initiatives, including:\r\n\r\n  ‧A 5G-enabled, AI-powered remote crane operation system, augmented by digital twin technology.\r\n  ‧The strategic deployment of digital twin technology for production process optimization.\r\n  ‧The integration of generative AI applications, such as intelligent ERP assistants and maintenance expert systems.\r\n\r\nThe presentation elucidates how these AI-driven strategies effectively address industry-specific challenges, enhance operational efficiency, and foster knowledge dissemination within the steel sector.(字串長度:794)---->This presentation examines the pivotal role of Artificial Intelligence (AI) in driving the digital transformation of the steel industry, with a particular focus on the exemplary case of China Steel Corporation (CSC). It showcases CSC\'s pioneering AI initiatives, including:\n\n  ‧A 5G-enabled, AI-powered remote crane operation system, augmented by digital twin technology.\n  ‧The strategic deployment of digital twin technology for production process optimization.\n  ‧The integration of generative AI applications, such as intelligent ERP assistants and maintenance expert systems.\n\nThe presentation elucidates how these AI-driven strategies effectively address industry-specific challenges, enhance operational efficiency, and foster knowledge dissemination within the steel sector.(字串長度:788)'),(6820,'2024-09-24 15:43:06',29,'desc---->This presentation primarily explores how generative AI is revolutionizing knowledge management. It begins by elucidating the necessity of knowledge management and the limitations of traditional approaches. The presentation then introduces how generative AI optimizes knowledge management processes through its comprehension capabilities, retrieval-augmented generation techniques, and integration with external tools. Several real-world case studies are presented, demonstrating the application of generative AI across various domains, including disaster prevention and relief, financial information, and construction. The benefits and risks of implementing generative AI in knowledge management are discussed, including considerations for information security. The presentation concludes by emphasizing the future directions of generative AI in knowledge management, anticipating its emergence as an essential tool for knowledge workers.\r\n\r\n這份簡報主要探討生成式 AI 如何革新知識管理。首先說明知識管理的必要性，以及傳統知識管理的局限性，接著介紹生成式 AI 如何透過理解能力、檢索增強生成技術、以及與外部工具整合，來優化知識管理流程。簡報還舉出多個實際案例，展示生成式 AI 在不同領域的應用，例如災害防救、金融資訊、建築營造等，並討論導入生成式 AI 知識管理的效益和風險，包括在資訊安全上的考量。簡報最後強調生成式 AI 知識管理的未來發展方向，預期將成為知識工作者的重要工具。(字串長度:1571)---->This presentation primarily explores how generative AI is revolutionizing knowledge management. It begins by elucidating the necessity of knowledge management and the limitations of traditional approaches. The presentation then introduces how generative AI optimizes knowledge management processes through its comprehension capabilities, retrieval-augmented generation techniques, and integration with external tools. Several real-world case studies are presented, demonstrating the application of generative AI across various domains, including disaster prevention and relief, financial information, and construction. The benefits and risks of implementing generative AI in knowledge management are discussed, including considerations for information security. The presentation concludes by emphasizing the future directions of generative AI in knowledge management, anticipating its emergence as an essential tool for knowledge workers.\n\n這份簡報主要探討生成式 AI 如何革新知識管理。首先說明知識管理的必要性，以及傳統知識管理的局限性，接著介紹生成式 AI 如何透過理解能力、檢索增強生成技術、以及與外部工具整合，來優化知識管理流程。簡報還舉出多個實際案例，展示生成式 AI 在不同領域的應用，例如災害防救、金融資訊、建築營造等，並討論導入生成式 AI 知識管理的效益和風險，包括在資訊安全上的考量。簡報最後強調生成式 AI 知識管理的未來發展方向，預期將成為知識工作者的重要工具。(字串長度:1569)```me_desc---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\r\n\r\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \r\n\r\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\r\n\r\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2142)---->Dr. Willie Yang is the founder of eLAND (意藍), the #1 public listed AI+Data company in Taiwan (TPEX:6925). eLAND is a leading SaaS (Software-as-a-Service) company specializing in the research and development of cutting-edge software technologies, including search engines, natural language processing, and AI applications for enterprises. eLAND\'s flagship product OpView, the largest social listening platform in Taiwan, scans tens of billions words every day, With its advanced AI technologies and infrastructure, OpView offers comprehensive functions to monitor and analyze online conversations, helping companies understand public opinions and market trends.\n\nDr. Willie Yang\'s research focuses on information retrieval, natural language processing, and social media analytics. He devoted himself to the development of large-scale full-text search engine and has been providing leading technology solutions for enterprise since 2000. He holds more than 20 patents for natural language processing and web mining in Greater China. \n\nDr. Willie Yang also serves as Assistant Professor in National Taiwan University, and the member of National Standards Technical Committee on Information and Communication in Taiwan\n\n楊立偉博士為現任台灣大學資訊管理學系及工商管理學系兼任助理教授、資訊及通信國家標準技術委員、意藍資訊公司總經理。任教於台灣大學超過18年，為台大教學傑出教師，曾榮獲國家雲端創新獎、數位時代「創業之星」首獎、100MVP最有價值經理人，以及數位時代雜誌選為代表台灣軟體的封面人物之一。研究專長領域為資料庫管理、搜尋引擎、機器學習及語意分析、大數據及商業分析、資訊管理及數位行銷等，擁有近30項數據及語意分析專利。楊立偉博士所創辦之意藍資訊(eLAND)為首家掛牌的AI智能數據公司(股票代號 6925)，提供搜尋引擎、輿情分析、電商分析、企業知識管理等雲端軟體服務及AI數據應用，主要客戶包括高科技、金融、零售等產業之龍頭企業，擁有極高之市場覆蓋率。(字串長度:2136)'),(6821,'2024-09-24 17:01:36',10,'talk_title---->資通訊業AI 2.0之布局與實踐(字串長度:36)---->The strategy and development of AI 2.0 in the ICT Industry(字串長度:58)```desc---->(字串長度:0)---->It outlines the evolution from AI 1.0 to AI 2.0. Especially in innovative applications such as speech, image and text recognition. We share Chunghwa Telecom’s various applications of generative AI, empowering various industries to develop AI applications in their own fields, and also explore the practical applications and challenges of artificial intelligence in various industries.(字串長度:386)'),(6822,'2024-09-25 08:52:44',37,'position_for_agenda---->資訊暨數位轉型科技群執行副總(字串長度:42)---->資訊長暨執行副總(字串長度:24)'),(6823,'2024-09-25 08:52:45',96,'name2---->(字串長度:0)---->Ronny Wang(字串長度:10)```anchor---->speaker-96(字串長度:10)---->ronny-wang(字串長度:10)```company---->歐噴有限公司(字串長度:18)---->OpenFun Ltd.(字串長度:12)```position---->創辦人(字串長度:9)---->Founder(字串長度:7)```me_desc---->(字串長度:0)---->Ronny Wang, the founder of OpenFun Ltd., has been involved in the open government and open parliament movements for many years. He enjoys writing web scraping programs to collect government data and convert it into open data or open APIs for public use. Within the g0v.tw community, he has initiated numerous civic technology projects. For example, he launched the Open Campaign Finance project, which uses crowdsourcing to convert political donation data, only available in paper form by the government, into digital data and advocates for the government to publish this data online. He also started the Job Helper project, a browser extension that shows whether a company has a history of labor law violations while you are browsing job websites. Additionally, he initiated the Taiwan Parliament API project, which transforms various unstructured Word and PDF documents from the Legislative Yuan into structured data, aiming to help more people understand the workings of the parliament. For more related projects and works, visit https://ronny.tw/data or https://openfun.tw/.(字串長度:1078)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://openfun.tw/(字串長度:19)'),(6824,'2024-09-25 11:16:13',92,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(6825,'2024-09-25 11:16:13',95,'position---->副研究員(字串長度:12)---->研究員(字串長度:9)```me_desc---->(字串長度:0)---->學經歷\r\n美國維吉尼亞大學法學博士 (S.J.D., 2004)\r\n美國賓西法尼亞大學法學碩士 (LL.M., 1999)\r\n國立台灣大學法律學研究所碩士 (LL.M., 1998)\r\n國立台灣大學法律學系學士 (LL.B., 1994)\r\n\r\n研究領域\r\n資訊法、食品法、憲法隱私權、科學與法律、科技社會研究與法律(字串長度:332)```position_for_agenda---->副研究員(字串長度:12)---->研究員(字串長度:9)'),(6826,'2024-09-25 11:38:14',34,'desc---->(字串長度:0)---->In this talk, we will present E.SUN\'s experiences in the application and development of generative AI. Besides the commonly seen conversational AI platforms, we will also discuss methods for rapidly embedding generative AI into existing systems, as well as cases of generating news summaries and meeting minutes through prompt engineering. Lastly, we will share some other interesting cognitive computing cases that can be done using generative AI.(字串長度:448)'),(6827,'2024-09-25 15:40:56',30,'desc---->(字串長度:0)---->Artificial intelligence (AI) stands as humanity\'s most pivotal invention, possessing the potential to reshape society profoundly, akin to the transformative power of fire and electricity. While earlier innovations such as the wheel and the printing press laid the groundwork for societal development, AI introduces unprecedented complexities, particularly concerning trustworthiness and fairness. As AI systems increasingly govern decision-making, it is crucial that these technologies operate transparently to prevent biases that could exacerbate existing inequalities. In this talk, we will present our recent work on addressing these issues, including data collection, privacy, and robotics, while reflecting on our choices regarding AI technology as we navigate the future.(字串長度:777)'),(6828,'2024-09-26 08:35:13',2,'name---->黃彥男(字串長度:9)---->周美吟(字串長度:9)```company---->數位發展部(字串長度:15)---->中央研究院(字串長度:15)```position---->部長(字串長度:6)---->副院長(字串長度:9)```company_for_agenda---->數位發展部(字串長度:15)---->(字串長度:0)```position_for_agenda---->部長(字串長度:6)---->(字串長度:0)'),(6829,'2024-09-26 08:35:13',50,'talk_title---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for ptivate Large Language Model(LLM)\n(字串長度:110)---->Water-Cooling-free.  How to fulfill ultra low energy consumption NPU IP for Large Language Model(LLM)\n,(字串長度:103)'),(6830,'2024-09-26 09:39:48',44,'desc---->(字串長度:0)---->91APP has been dedicated to serving the retail industry for the past decade, assisting over 1,000 medium to large retail brands in their digital transformation. In recent years, the company has further advanced by promoting AI transformation. The aim of introducing new technologies is to solve industry-specific problems. This topic will begin with the fundamental issues of the retail industry, discussing the role of AI in retail, how 91APP develops AI models for retail, and predicting the future landscape of the retail sector.\r\n91APP 專注於服務零售產業，10年來協助1,000多家中大型的零售品牌數位轉型，近年來更近一步推動 AI 轉型。導入新科技，目標都是要解決產業問題。本講題將從從零售業的基本問題出發，討論 AI 在零售業內的角色，91APP 如何發展零售的 AI 模型，並預測未來零售業的面貌。(字串長度:892)```me_desc---->CPO of 91APP,  Entrepreneur(字串長度:27)---->The speaker is the Chief Product Officer of 91APP and the owner of the blog \"The Science of Retail\" (https://happylee.blog/). As the head of product development at 91APP, the speaker must stay at the forefront of all new technologies, identifying critical entry points and rapidly developing industry applications. With unique insights into the retail industry and the application of technology, these perspectives are shared on the \"The Science of Retail\" blog, where most articles have been widely circulated on social media. With the advent of the AI era, the speaker actively participates in various AI communities and is committed to promoting AI applications within enterprises.\r\n91APP 產品長，「零售的科學」（https://happylee.blog/）的站長。\r\n身為 91APP 的產品發展的總舵手，對於所有的新科技都必須第一手直接掌握，並找出關鍵的切入點，快速發展出產業應用，對零售業與科技應用有其獨到的見解，並發表這些見解在「零售的科學」部落格上，多數文章在社群上被大量轉發。隨著 AI 時代的來臨，積極參與各種 AI 社群，積極推動 AI 在企業內的應用。(字串長度:1179)'),(6831,'2024-09-26 15:07:28',27,'desc---->(字串長度:0)---->Briefly introduce the Ministry of Finance\'s artificial intelligence technology strategy and goals since 2020, sharing concrete practical experiences including the difficulties encountered during implementation, corresponding measures taken, key success factors, current performance, and directions for continued development.\n\n財政部自2020年起運用人工智慧技術策略及目標，推動過程的困難、因應措施、成功關鍵因素、目前績效以及持續發展方向等之具體實務經驗分享。\n\n\n(字串長度:522)'),(6832,'2024-09-26 18:28:32',5,'talk_title---->AI and the Changes of the Century(字串長度:33)---->AI and the Changes of a Century(字串長度:31)'),(6833,'2024-09-26 18:51:55',44,'me_desc---->The speaker is the Chief Product Officer of 91APP and the owner of the blog \"The Science of Retail\" (https://happylee.blog/). As the head of product development at 91APP, the speaker must stay at the forefront of all new technologies, identifying critical entry points and rapidly developing industry applications. With unique insights into the retail industry and the application of technology, these perspectives are shared on the \"The Science of Retail\" blog, where most articles have been widely circulated on social media. With the advent of the AI era, the speaker actively participates in various AI communities and is committed to promoting AI applications within enterprises.\r\n91APP 產品長，「零售的科學」（https://happylee.blog/）的站長。\r\n身為 91APP 的產品發展的總舵手，對於所有的新科技都必須第一手直接掌握，並找出關鍵的切入點，快速發展出產業應用，對零售業與科技應用有其獨到的見解，並發表這些見解在「零售的科學」部落格上，多數文章在社群上被大量轉發。隨著 AI 時代的來臨，積極參與各種 AI 社群，積極推動 AI 在企業內的應用。(字串長度:1179)---->The speaker is the Chief Product Officer of 91APP and the owner of the blog \\\"The Science of Retail\\\" (https://happylee.blog/). As the head of product development at 91APP, the speaker must stay at the forefront of all new technologies, identifying critical entry points and rapidly developing industry applications. With unique insights into the retail industry and the application of technology, these perspectives are shared on the \"The Science of Retail\" blog, where most articles have been widely circulated on social media. With the advent of the AI era, the speaker actively participates in various AI communities and is committed to promoting AI applications within enterprises.\n91APP 產品長，「零售的科學」（https://happylee.blog/）的站長。\n身為 91APP 的產品發展的總舵手，對於所有的新科技都必須第一手直接掌握，並找出關鍵的切入點，快速發展出產業應用，對零售業與科技應用有其獨到的見解，並發表這些見解在「零售的科學」部落格上，多數文章在社群上被大量轉發。隨著 AI 時代的來臨，積極參與各種 AI 社群，積極推動 AI 在企業內的應用。(字串長度:1179)'),(6834,'2024-09-27 13:49:29',44,'me_desc---->The speaker is the Chief Product Officer of 91APP and the owner of the blog The Science of Retail ( https://happylee.blog /). As the head of product development at 91APP, the speaker must stay at the forefront of all new technologies, identifying critical entry points and rapidly developing industry applications. With unique insights into the retail industry and the application of technology, these perspectives are shared on the \"The Science of Retail\" blog, where most articles have been widely circulated on social media. With the advent of the AI era, the speaker actively participates in various AI communities and is committed to promoting AI applications within enterprises.\r\n91APP 產品長，「零售的科學」（https://happylee.blog/）的站長。\r\n身為 91APP 的產品發展的總舵手，對於所有的新科技都必須第一手直接掌握，並找出關鍵的切入點，快速發展出產業應用，對零售業與科技應用有其獨到的見解，並發表這些見解在「零售的科學」部落格上，多數文章在社群上被大量轉發。隨著 AI 時代的來臨，積極參與各種 AI 社群，積極推動 AI 在企業內的應用。(字串長度:1179)---->The speaker is the Chief Product Officer of 91APP and the owner of the blog \\\"The Science of Retail\\\" (https://happylee.blog/). As the head of product development at 91APP, the speaker must stay at the forefront of all new technologies, identifying critical entry points and rapidly developing industry applications. With unique insights into the retail industry and the application of technology, these perspectives are shared on the \"The Science of Retail\" blog, where most articles have been widely circulated on social media. With the advent of the AI era, the speaker actively participates in various AI communities and is committed to promoting AI applications within enterprises.\n91APP 產品長，「零售的科學」（https://happylee.blog/）的站長。\n身為 91APP 的產品發展的總舵手，對於所有的新科技都必須第一手直接掌握，並找出關鍵的切入點，快速發展出產業應用，對零售業與科技應用有其獨到的見解，並發表這些見解在「零售的科學」部落格上，多數文章在社群上被大量轉發。隨著 AI 時代的來臨，積極參與各種 AI 社群，積極推動 AI 在企業內的應用。(字串長度:1179)'),(6835,'2024-09-27 13:49:29',68,'desc---->(字串長度:0)---->GenAI has numerous applications in technology, but what about cybersecurity? If GenAI is utilized for offensive purposes, how significant could the impact on the world be? Much like artists, the red team in cybersecurity requires immense creativity and imagination. How has GenAI assisted them? This session will explore the applications of GenAI in the offensive landscape, from attack trends to red team implementations.(字串長度:422)'),(6836,'2024-09-27 13:49:29',79,'desc---->This presentation will focus on the principles of multimodal language model technology and its applications in the healthcare field, demonstrating its extensive use through six different medical scenarios. Each scenario will be accompanied by a 30-second demo video, designed to give the audience a quick and immersive experience of these technologies\' powerful capabilities in healthcare.\nWe will begin by showcasing a chronic disease management Q&A system for dementia knowledge. This system is presented in a website format and provides accurate, real-time medical information through a language model, helping users better understand disease-related information. Following this, we will introduce a Line Chatbot for remote diabetes care, which facilitates intelligent Q&A between patients and healthcare providers, offering immediate medical support to diabetes patients.\nIn the area of emotional companionship, we will share a TVBS interview video demonstrating how an emotional companion QA robot uses language models for question-answering, offering psychological support and enhancing patients\' emotional well-being. Additionally, we will demonstrate a digital interaction display for standardized dental patient interactions, where AI automates assessments to enhance the interactivity and effectiveness of dental education.\nFor image processing applications, we will introduce an X-ray dental image report generation system that assists doctors in automatically generating dental imaging reports, significantly improving medical efficiency. Lastly, we will present a text-to-dental 3D image generation technology that converts text input into 3D images, applied in the development of VR imaging for surgical planning, showcasing cutting-edge technologies in dental surgery.\nThrough these demo videos, we will guide the audience to a deeper understanding of how multimodal language model technology plays a key role in various healthcare scenarios, highlighting its significance in the future development of medical technology.(字串長度:2036)---->The presentation will focus on the principles of multimodal language model edge Computing technology and its applications in healthcare, demonstrating its extensive use in six different medical scenarios. \n1. Chronic disease management Q&A system for dementia knowledge  :\n    web-based platform with real-time, accurate medical information\n2. Line Chatbot for remote diabetes care :\n     facilitates intelligent Q&A between patients and healthcare providers.\n3. Emotional companion QA robot :\n     TVBS interview video demonstrating psychological support via language models.\n4. Digital interaction display for standardized dental-patient interactions :\n     AI automates assessments for effective dental education.\n5. X-ray dental image report generation system :\n    automatically generates dental imaging reports to improve medical efficiency.\n6. Text-to-dental 3D image generation technology :\n    converts text into 3D images for VR imaging and surgical planning in dental surgery.(字串長度:987)');

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