(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)'),(6837,'2025-07-19 16:48:52',999,'name---->測試資料(字串長度:12)---->測試1(字串長度:7)```name2---->name_en(字串長度:7)---->英文(字串長度:6)```anchor---->name_en(字串長度:7)---->英文(字串長度:6)```talk_title---->title_en(字串長度:8)---->英文講題(字串長度:12)```talk_title2---->title(字串長度:5)---->中文講題(字串長度:12)```company---->company(字串長度:7)---->單位(字串長度:6)```position---->company(字串長度:7)---->部門(字串長度:6)'),(6838,'2025-08-04 21:22:27',5,'lecture_type---->(字串長度:0)---->Keynote 1(字串長度:9)'),(6839,'2025-08-04 21:22:27',35,'talk_title2---->◆ 如何使用 AI 於金融防詐 (字串長度:36)---->如何使用 AI 於金融防詐 (字串長度:32)'),(6840,'2025-08-04 21:34:39',18,'company2---->Google DeepMind(字串長度:15)---->(字串長度:0)'),(6841,'2025-08-04 21:34:39',19,'company2----> 陽明交通大學(字串長度:19)---->(字串長度:0)'),(6842,'2025-08-04 21:34:39',21,'company2---->Google DeepMind(字串長度:15)---->(字串長度:0)'),(6843,'2025-08-04 21:34:39',35,'company---->(字串長度:0)---->玉山(字串長度:6)```company2---->玉山(字串長度:6)---->(字串長度:0)'),(6844,'2025-08-04 21:34:39',38,'company---->(字串長度:0)---->和碩(字串長度:6)```company2---->和碩(字串長度:6)---->(字串長度:0)'),(6845,'2025-08-04 21:34:39',39,'company---->(字串長度:0)---->廣運(字串長度:6)```company2---->廣運(字串長度:6)---->(字串長度:0)'),(6846,'2025-08-04 21:40:12',18,'lecture_type---->(字串長度:0)---->Keynote 3(字串長度:9)'),(6847,'2025-08-04 21:40:12',19,'lecture_type---->(字串長度:0)---->Keynote 4(字串長度:9)'),(6848,'2025-08-04 21:41:01',21,'lecture_type---->(字串長度:0)---->主題論壇(字串長度:12)'),(6849,'2025-08-04 21:41:01',22,'lecture_type---->(字串長度:0)---->主題論壇(字串長度:12)'),(6850,'2025-08-04 21:43:18',28,'lecture_type---->(字串長度:0)---->陳昇瑋紀念講座(字串長度:21)'),(6851,'2025-08-04 22:16:07',4,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6852,'2025-08-04 22:16:08',11,'conf---->AIK(字串長度:3)---->HOST(字串長度:4)'),(6853,'2025-08-04 22:16:08',13,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6854,'2025-08-04 22:16:08',17,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6855,'2025-08-04 22:16:08',21,'conf---->HOST(字串長度:4)---->PANEL(字串長度:5)'),(6856,'2025-08-04 22:16:08',22,'conf---->HOST(字串長度:4)---->PANEL(字串長度:5)'),(6857,'2025-08-04 22:16:08',23,'conf---->AIK(字串長度:3)---->HOST(字串長度:4)'),(6858,'2025-08-04 22:16:08',24,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6859,'2025-08-04 22:16:08',25,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6860,'2025-08-04 22:16:08',26,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6861,'2025-08-04 22:16:08',27,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6862,'2025-08-04 22:16:08',28,'conf---->AI(字串長度:2)---->AIK(字串長度:3)'),(6863,'2025-08-04 22:16:08',29,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6864,'2025-08-04 22:16:08',33,'conf---->AIK(字串長度:3)---->HOST(字串長度:4)'),(6865,'2025-08-04 22:16:08',35,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6866,'2025-08-04 22:16:08',38,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6867,'2025-08-04 22:16:08',39,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6868,'2025-08-04 22:16:08',42,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6869,'2025-08-04 22:16:08',43,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6870,'2025-08-04 22:16:08',44,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6871,'2025-08-04 22:16:09',45,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6872,'2025-08-04 22:16:09',47,'conf---->AIK(字串長度:3)---->HOST(字串長度:4)'),(6873,'2025-08-04 22:16:09',49,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6874,'2025-08-04 22:16:09',53,'conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(6875,'2025-08-04 22:16:09',55,'conf---->AIK(字串長度:3)---->HOST(字串長度:4)'),(6876,'2025-08-06 21:44:04',17,'name----> 吳振和(字串長度:10)---->吳振和(字串長度:9)```name2---->(字串長度:0)---->Wu Cheng-Ho(字串長度:11)```anchor---->speaker-17(字串長度:10)---->wu-cheng-ho(字串長度:11)```talk_title---->(字串長度:0)---->Agentic Systems Engineering: Practices and Challenges from PoC to Production(字串長度:76)```desc---->(字串長度:0)---->Based on observations from AI transformation projects in industries like retail and manufacturing over the past two years, the core challenges of building AI applications have evolved into the \"Agentic\" era. This presentation explores the journey from developing basic RAG (Retrieval-Augmented Generation) applications to engineering complex Multi-Agent Systems. We will break down the key challenges faced, the practical engineering methods that work, and the modern architecture required to support these advanced systems.\r\n\r\n(字串長度:528)'),(6877,'2025-08-06 21:44:04',39,'name2---->(字串長度:0)---->Jackson Chen(字串長度:12)```anchor---->speaker-39(字串長度:10)---->jackson-chen(字串長度:12)```talk_title---->(字串長度:0)---->Unlocking the Value of System Integration with AI, Digital Twin and Physical AI(字串長度:79)```talk_title2---->(字串長度:0)---->透過導入AI、數位孿生、Physical AI來實踐系統整合方案的落地價值(字串長度:85)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->廣運(字串長度:6)---->KENMEC MECHANICAL ENGINEERING CO.,LTD.廣運(字串長度:44)```position---->總監(字串長度:6)---->Sales Department 2 Sales Director 總監(字串長度:40)```desc---->(字串長度:0)---->Driving Smart Automation with AI, Digital Twin, and Physical AI, We’re building next-generation automation by integrating AI Robots、Digital Twin Infrastructure、Physical AI Applications、AI Nose SLM – a Smell Language Model. These technologies are unified under an AI-powered intelligent platform, enabling a closed-loop logistics and material handling system (R2S & S2R) for the semiconductor industry and smart logistics. From day one, the system is designed to make the right decisions early—delivering the optimal solution through AI-driven precision and feedback.\n以 「AI、數位孿生、Physical AI」 為主軸，導入 AI Robot、數位孿生AI 基礎建設、Physical AI 、AI Nose SLM 嗅覺語言模型等應用方案，並以 AI 驅動的智慧平台，提供智慧物流及半導體自動化物料搬運系統 R2S S2R 的 Close Loop 架構，一開始就做對決策，找出最佳解。(字串長度:913)```me_desc---->(字串長度:0)---->Currently works as sales director at KENMEC Mechanical Engineering Co., Ltd., providing automated warehousing, logistics centers, semiconductor OHT systems, AMR, AI Robots, humanoid robots and various robotics solutions, and introducing AI application solutions, including NVIDIA OmniverseTM, MTMC, etc.\n目前任職於廣運機械工程股份有限公司，擔任業務總監，提供自動倉儲、物流中心、半導體天車系統、無人搬運車，AI Robot、人型機器人及各式機器人解決方案，並且導入 AI 運用解決方案，包括 NVIDIA OmniverseTM、MTMC等。(字串長度:591)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6878,'2025-08-06 21:49:19',34,'name2---->(字串長度:0)---->Tom Liang(字串長度:9)```anchor---->speaker-49(字串長度:10)---->tom-liang(字串長度:9)```talk_title---->(字串長度:0)---->Explore the Cutting-Edge Tech \nBehind the AI+AR Glasses\n(字串長度:56)```talk_title2---->(字串長度:0)---->探索AI+AR眼鏡背後的尖端技術(字串長度:38)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->Jorjin Technologies Inc. 佐臻(字串長度:31)```position---->董事長(字串長度:9)---->Chairman 董事長(字串長度:18)```company2---->佐臻(字串長度:6)---->(字串長度:0)```desc---->(字串長度:0)---->After Mobile,what is next ?\nXR Devices Categories and mainstream\nreveal detail about Core Technologies of AR smart glasses \nHow AI-Powered AR Glasses spatial computing \ncan transform the way you work, connect, and experience the world!\nWhy AI needs AR Glasses：Not PC and Mobile\n AI make AR better、fast and powerful,AI need AR even more。AR give AI own Human sensor to access the realworld,no AI without AR\n(字串長度:411)```me_desc---->(字串長度:0)---->Founder/Chairman of Jorjin Technologies Inc 1997~now\nFounder/Chairman of AMPAK 2000~2007\n\nFounder/Chairman of TSGIA 2018 / Taiwan XR Smart Industry Association 2023~now\n\nTaiwan Innovative Software and Services Association:\nAdvanced Communication and XR Smart Industry Development Committee 2023~now\nPresident\n\nVice Chairman of 3DIDA 3D Interaction & Display Association 2023~now \n(字串長度:380)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6879,'2025-08-06 22:23:13',1,'name2---->(字串長度:0)---->Chi-Lin Wea(字串長度:11)```anchor---->speaker-1(字串長度:9)---->chi-lin-wea(字串長度:11)'),(6880,'2025-08-06 22:23:13',4,'name2---->(字串長度:0)---->Ling-Jyh Chen(字串長度:13)```anchor---->speaker-4(字串長度:9)---->ling-jyh-chen(字串長度:13)'),(6881,'2025-08-06 22:23:13',8,'name2---->(字串長度:0)---->Isabel Hou(字串長度:10)```anchor---->speaker-8(字串長度:9)---->isabel-hou(字串長度:10)'),(6882,'2025-08-06 22:23:13',9,'name2---->(字串長度:0)---->Lee-Feng Chien(字串長度:14)```anchor---->speaker-9(字串長度:9)---->lee-feng-chien(字串長度:14)```company---->(字串長度:0)---->Appier(字串長度:6)```position---->(字串長度:0)---->Independent Director (字串長度:21)'),(6883,'2025-08-06 22:23:13',11,'name2---->(字串長度:0)---->Richie Tsai(字串長度:11)```anchor---->speaker-11(字串長度:10)---->richie-tsai(字串長度:11)'),(6884,'2025-08-06 22:23:13',18,'name2---->(字串長度:0)---->Ed H. Chi(字串長度:9)```anchor---->speaker-18(字串長度:10)---->ed-h-chi(字串長度:8)'),(6885,'2025-08-06 22:23:13',20,'name2---->(字串長度:0)---->Ling-Jyh Chen(字串長度:13)```anchor---->speaker-20(字串長度:10)---->ling-jyh-chen-2(字串長度:15)'),(6886,'2025-08-06 22:23:13',21,'name2---->(字串長度:0)---->Ed H. Chi(字串長度:9)```anchor---->speaker-21(字串長度:10)---->ed-h-chi-2(字串長度:10)'),(6887,'2025-08-06 22:23:13',81,'name2---->(字串長度:0)---->Wei-Chao Chen(字串長度:13)```anchor---->speaker-81(字串長度:10)---->wei-chao-chen(字串長度:13)```company---->(字串長度:0)---->Inventec Inc.(字串長度:13)```position---->(字串長度:0)---->Chief Digital Officer & Senior Vice President(字串長度:45)```company_for_agenda---->(字串長度:0)---->英業達(字串長度:9)```position_for_agenda---->(字串長度:0)---->數位長暨資深副總經理(字串長度:30)'),(6888,'2025-08-06 22:23:13',29,'name2---->(字串長度:0)---->Richie Tsai(字串長度:11)```anchor---->speaker-29(字串長度:10)---->richie-tsai-2(字串長度:13)'),(6889,'2025-08-06 22:23:13',33,'name2---->(字串長度:0)---->Benjamin Kuo(字串長度:12)```anchor---->speaker-33(字串長度:10)---->benjamin-kuo(字串長度:12)'),(6890,'2025-08-06 22:23:14',35,'name2---->(字串長度:0)---->Jyh-Shing Roger Jang(字串長度:20)```anchor---->speaker-35(字串長度:10)---->jyh-shing-roger-jang(字串長度:20)'),(6891,'2025-08-06 22:23:14',47,'name2---->(字串長度:0)---->Chia-Yen Lee(字串長度:12)```anchor---->speaker-47(字串長度:10)---->chia-yen-lee(字串長度:12)'),(6892,'2025-08-06 22:29:44',11,'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)'),(6893,'2025-08-06 22:29:45',23,'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)'),(6894,'2025-08-06 22:29:45',33,'name---->郭秉宸(字串長度:9)---->47(字串長度:2)```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)'),(6895,'2025-08-06 22:29:45',47,'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)'),(6896,'2025-08-06 22:29:45',55,'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)'),(6897,'2025-08-07 23:26:15',13,'name---->Siemens - Frank Grunert(字串長度:23)---->張合翕(字串長度:9)```name2---->(字串長度:0)---->Frank Grunert(字串長度:13)```anchor---->speaker-13(字串長度:10)---->frank-grunert(字串長度:13)```talk_title---->(字串長度:0)---->Supercharging Taiwan’s Smart Manufacturing with Siemens’ Digital Twin and Industrial AI\n(字串長度:92)```talk_title2---->Supercharging Taiwan’s Smart Manufacturing with Siemens’ Digital Twin and Industrial AI(字串長度:91)---->(字串長度:0)```company---->(字串長度:0)---->台灣西門子(字串長度:15)```position---->(字串長度:0)---->總裁暨執行長(字串長度:18)```company2---->(字串長度:0)---->Siemens Ltd. Taiwan\r\n(字串長度:21)```position2---->(字串長度:0)---->President and Chief Executive Officer(字串長度:37)```desc---->(字串長度:0)---->Manufacturing faces urgent global challenges – rising costs, supply chain disruptions, labor shortages, and mounting pressure to decarbonize. In Taiwan, the manufacturing sector accounts for over 50% of national CO₂ emissions, making it a critical priority in the journey toward Net Zero.\r\nThis presentation explores how Siemens’ Digital Twin and Industrial AI technologies are empowering manufacturers to achieve more with less – boosting efficiency, reducing emissions, and building greater resilience. Through real-world reference cases, we’ll show how these technologies are already transforming factories – from virtual design to intelligent operations – driving a new era of sustainable, smart industry in Taiwan and beyond.\r(字串長度:745)```me_desc---->(字串長度:0)---->Current position\nAug 2024\n• President and Chief Executive Officer of Siemens Ltd., Taiwan\nProfessional history\nOct 2018 – Jul 2024\n• Senior Vice President & Global Business Segment Lead for Grid Control Solutions, Siemens AG\nJan 2015 – Sep 2018\n• Vice President and General Manager, Global Head of Project Execution for HVDC (High Voltage Direct Current),\nSiemens AG\nJun 2011 – Dec 2014\n• General Manager and Head of Erection and Commissioning for High-Voltage Substations and Power\nTransmission Solutions, Siemens AG\nDec 2009 – Jun 2011\n• Head of Department, Electrical Substations and Networks, Siemens AG\nSep 2008 – Nov 2009\n• Senior Team Lead – Electrical Networks, Siemens AG\nSep 2006 – Aug 2008\n• Quality Manager, Siemens AG\n\nEducation\n• Postgraduate Diploma in Advanced Management, Business Administration and Management, ESMT Berlin\n• Master (Diploma) in Business Administration – International Management, University of Applied Sciences,\nMittweida, Germany\n• Diploma in International Marketing, Institute of Technology, Sligo, Ireland(字串長度:1079)'),(6898,'2025-08-07 23:26:15',16,'talk_title---->(字串長度:0)---->Autonomous System Design Considerations(字串長度:39)```talk_title2---->(字串長度:0)---->自主系統進化論: 關鍵架構是台灣機會(字串長度:50)'),(6899,'2025-08-07 23:26:15',22,'name---->程登湖(字串長度:9)---->林宜敬(邀請中)(字串長度:20)'),(6900,'2025-08-07 23:26:15',26,'position---->(字串長度:0)---->教授(字串長度:6)'),(6901,'2025-08-07 23:26:16',27,'position---->(字串長度:0)---->教授(字串長度:6)'),(6902,'2025-08-07 23:26:16',33,'name---->47(字串長度:2)---->郭秉宸(字串長度:9)'),(6903,'2025-08-07 23:26:16',49,'company_for_agenda---->(字串長度:0)---->Jorjin Technologies Inc. 佐臻(字串長度:31)```position_for_agenda---->(字串長度:0)---->Chairman 董事長(字串長度:18)'),(6904,'2025-08-07 23:26:16',43,'name2---->(字串長度:0)---->Yi-Ting Chen(字串長度:12)```anchor---->speaker-43(字串長度:10)---->yi-ting-chen(字串長度:12)```talk_title---->(字串長度:0)---->Toward Human-Centered Physical AI(字串長度:33)```talk_title2---->(字串長度:0)---->邁向以人為本的實體人工智慧(字串長度:39)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->National Yang Ming Chiao Tung University(字串長度:40)```position---->(字串長度:0)---->Computer Science / Associate Professor(字串長度:38)```me_desc---->(字串長度:0)---->Yi-Ting is an Associate Professor in the Department of Computer Science at National Yang Ming Chiao Tung University. He earned his Ph.D. in Electrical and Computer Engineering from Purdue University and previously served as a Senior Research Scientist at Honda Research Institute USA. His research focuses on human-centered physical AI, intelligent driving systems, computer vision, and machine learning. He was awarded the NSTC 2030 International Outstanding Scholar Award and the NYCU CS Outstanding Young Scholar Award in 2024. He also received the Yushan Fellow Program Administrative Support Grant from Taiwan’s Ministry of Education and the NYCU Junior Faculty Award in 2021.(字串長度:683)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://sites.google.com/site/yitingchen0524/(字串長度:45)'),(6905,'2025-08-07 23:26:16',44,'name2---->(字串長度:0)---->Shao-Hua Sun(字串長度:12)```anchor---->speaker-44(字串長度:10)---->shao-hua-sun(字串長度:12)```talk_title---->(字串長度:0)---->Program-Guided Robot Learning(字串長度:29)```talk_title2---->(字串長度:0)---->程序引導式機器人學習(字串長度:30)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->(字串長度:0)---->National Taiwan University(字串長度:26)```position---->(字串長度:0)---->Assistant Professor(字串長度:19)```desc---->(字串長度:0)---->Recent developments in artificial intelligence and machine learning have remarkably advanced machines’ ability to understand images and videos, comprehend natural languages and speech, and outperform human experts in complex games. However, building intelligent robots that can operate in unstructured environments, manipulate unknown objects, and acquire novel skills – to free humans from tedious or dangerous manual work – remains challenging. My research focuses on developing a robot learning framework that enables robots to acquire long-horizon and complex skills with hierarchical structures, such as furniture assembly and cooking. Specifically, I present an interpretable and generalizable program-guided robot learning framework, which represents desired behaviors as a program and acquires primitive skills for executing desired skills. This talk will discuss a series of projects toward building this framework.(字串長度:930)```me_desc---->(字串長度:0)---->Shao-Hua Sun is an Assistant Professor in the Department of Electrical Engineering at National Taiwan University (NTU). He completed his Ph.D. in Computer Science at the University of Southern California (USC) and holds a B.S. in Electrical Engineering from NTU. He has been awarded Yushan Young Fellow by the Ministry of Education, Taiwan. Prof. Sun\'s research interests include machine learning, robot learning, reinforcement learning, and program synthesis. His work has been presented at premier conferences across diverse fields, including machine learning (NeurIPS, ICML, ICLR), robot learning (CoRL), computer vision (CVPR, ECCV), and natural language processing (EMNLP, COLM). He has organized tutorials at ACML 2023, NeurIPS 2024, ICML 2025, RLC 2025, and CoRL 2025.(字串長度:775)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://shaohua0116.github.io/(字串長度:30)'),(6906,'2025-08-07 23:26:16',47,'name---->李家岩(字串長度:9)---->溫紹群(字串長度:9)```name2---->Chia-Yen Lee(字串長度:12)---->(字串長度:0)```anchor---->chia-yen-lee(字串長度:12)---->speaker-47(字串長度:10)'),(6907,'2025-08-08 17:09:34',22,'name---->林宜敬(邀請中)(字串長度:20)---->邱維辰(邀請中)(字串長度:20)'),(6908,'2025-08-08 17:09:34',37,'name---->Matt Chen(字串長度:9)---->陳聖華(字串長度:9)```name2---->(字串長度:0)---->Matt Chen(字串長度:9)```anchor---->speaker-37(字串長度:10)---->matt-chen(字串長度:9)```company---->台達電(字串長度:9)---->台達研究院 (字串長度:16)'),(6909,'2025-08-08 17:09:34',45,'name2---->(字串長度:0)---->Ming Chih(字串長度:9)```anchor---->speaker-45(字串長度:10)---->ming-chih(字串長度:9)```company---->(字串長度:0)---->池安量子資安(字串長度:18)```position---->(字串長度:0)---->President & CEO(字串長度:15)'),(6910,'2025-08-08 17:09:34',53,'name---->翁浩正(字串長度:9)---->陳宜昌(字串長度:9)'),(6911,'2025-08-09 10:34:50',46,'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)---->技術處副組長(字串長度:18)```company_for_agenda---->(字串長度:0)---->台灣人工智慧學校(字串長度:24)```position_for_agenda---->(字串長度:0)---->技術處副組長(字串長度:18)'),(6912,'2025-08-09 10:47:48',47,'name2---->(字串長度:0)---->Rick Wen(字串長度:8)```anchor---->speaker-47(字串長度:10)---->rick-wen(字串長度:8)```company---->(字串長度:0)---->WenDeloitte Digital Transformation Service(字串長度:42)```position---->(字串長度:0)---->Partner(字串長度:7)'),(6913,'2025-08-09 11:02:56',8,'lecture_type---->主題論壇(字串長度:12)---->主題論壇: AI Policy, AI Literacy, Responsible AI(字串長度:52)'),(6914,'2025-08-09 11:02:56',20,'lecture_type---->主題論壇(字串長度:12)---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)'),(6915,'2025-08-09 11:03:47',7,'lecture_type---->主題論壇(字串長度:12)---->主題論壇: AI Policy, AI Literacy, Responsible AI(字串長度:52)'),(6916,'2025-08-09 11:03:47',21,'lecture_type---->主題論壇(字串長度:12)---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)'),(6917,'2025-08-09 11:07:26',7,'company_for_agenda---->(字串長度:0)---->政院人事行政總處(字串長度:24)```position_for_agenda---->(字串長度:0)---->人事長(字串長度:9)'),(6918,'2025-08-09 11:08:12',7,'company---->(字串長度:0)---->政院人事行政總處(字串長度:24)```position---->(字串長度:0)---->人事長(字串長度:9)'),(6919,'2025-08-09 11:08:12',9,'company_for_agenda---->(字串長度:0)---->Appier(字串長度:6)```position_for_agenda---->(字串長度:0)---->Independent Director (字串長度:21)'),(6920,'2025-08-09 11:08:40',7,'company---->政院人事行政總處(字串長度:24)---->(字串長度:0)```position---->人事長(字串長度:9)---->(字串長度:0)```company_for_agenda---->政院人事行政總處(字串長度:24)---->(字串長度:0)```position_for_agenda---->人事長(字串長度:9)---->(字串長度:0)'),(6921,'2025-08-09 17:03:52',28,'name2---->(字串長度:0)---->Nen-Fu Huang(字串長度:12)```anchor---->speaker-28(字串長度:10)---->nen-fu-huang(字串長度:12)```talk_title2---->(字串長度:0)---->AI 產業落地與實作型AI人才培育(字串長度:41)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->南臺科技大學(字串長度:18)---->Southern Taiwan University of Science and Technology (字串長度:53)```position---->校長(字串長度:6)---->President (字串長度:10)```company2---->(字串長度:0)---->National Tsing Hua University (字串長度:30)```position2---->(字串長度:0)---->Distinguished Professor (字串長度:24)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6922,'2025-08-10 20:39:24',36,'company_for_agenda---->(字串長度:0)---->International Integrated Systems, Inc.(字串長度:38)```position_for_agenda---->(字串長度:0)---->SISB, Consultant(字串長度:16)'),(6923,'2025-08-10 20:39:24',52,'name---->林明旺(字串長度:9)---->林銘旺(字串長度:9)'),(6924,'2025-08-10 21:30:20',4,'talk_title2---->(字串長度:0)---->共築 AI 生態：AIA 年度足跡與未來展望(字串長度:50)'),(6925,'2025-08-10 21:30:20',5,'talk_title2---->(字串長度:0)---->台灣AI競爭力的戰略定位與實踐:  在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:107)'),(6926,'2025-08-10 21:30:20',7,'company---->(字串長度:0)---->行政院人事行政總處(字串長度:27)```position---->(字串長度:0)---->人事長(字串長度:9)'),(6927,'2025-08-10 21:30:20',9,'position---->Independent Director (字串長度:21)---->獨立董事(字串長度:12)```position_for_agenda---->Independent Director (字串長度:21)---->獨立董事(字串長度:12)'),(6928,'2025-08-10 21:30:21',16,'position---->總經理特助(字串長度:15)---->資深顧問(字串長度:12)'),(6929,'2025-08-10 21:30:21',18,'position---->博士(字串長度:6)---->研究副總裁(字串長度:15)```position_for_agenda---->博士(字串長度:6)---->研究副總裁(字串長度:15)'),(6930,'2025-08-10 21:30:21',19,'talk_title---->(字串長度:0)---->AI-Powered UAVs in GPS-Denied Environments(字串長度:42)```talk_title2---->(字串長度:0)---->人工智慧驅動的無GPS環境無人機(字串長度:42)'),(6931,'2025-08-10 21:30:21',21,'position---->博士(字串長度:6)---->研究副總裁(字串長度:15)```position_for_agenda---->博士(字串長度:6)---->研究副總裁(字串長度:15)'),(6932,'2025-08-10 21:30:21',81,'name2---->Wei-Chao Chen(字串長度:13)---->英業達(字串長度:9)```anchor---->wei-chao-chen(字串長度:13)---->英業達(字串長度:9)```position---->Chief Digital Officer & Senior Vice President(字串長度:45)---->數位長暨資深副總經理(字串長度:30)'),(6933,'2025-08-10 21:30:21',22,'name---->邱維辰(邀請中)(字串長度:20)---->邱維辰(字串長度:9)```company---->陽明交通大學(字串長度:18)---->國科會科技辦公室(字串長度:24)```position---->教授(字串長度:6)---->副執行秘書(字串長度:15)'),(6934,'2025-08-10 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Twins: Driving the Next Level of Autonomy in Manufacturing(字串長度:80)```company_for_agenda---->(字串長度:0)---->和碩聯合科技(字串長度:18)```position_for_agenda---->(字串長度:0)---->副總經理(字串長度:12)'),(6941,'2025-08-10 21:30:21',39,'company_for_agenda---->(字串長度:0)---->廣運集團(字串長度:12)```position_for_agenda---->(字串長度:0)---->總監(字串長度:6)'),(6942,'2025-08-10 21:30:21',37,'talk_title2---->(字串長度:0)---->以數位孿生重新定義智慧製造(字串長度:39)```company_for_agenda---->(字串長度:0)---->台達電台達研究院(字串長度:24)'),(6943,'2025-08-10 21:30:21',42,'company---->國立成功大學電機資訊學院 國立成功大學資訊工程系(字串長度:70)---->國立成功大學(字串長度:18)```position---->副院長 教授(字串長度:16)---->電機資訊學院副院長(字串長度:27)'),(6944,'2025-08-10 21:30:21',44,'company_for_agenda---->(字串長度:0)---->National Taiwan University(字串長度:26)```position_for_agenda---->(字串長度:0)---->Assistant Professor(字串長度:19)'),(6945,'2025-08-10 21:30:21',45,'talk_title2---->(字串長度:0)---->無人機系統開放標準及開發平台(字串長度:42)```company_for_agenda---->(字串長度:0)---->池安量子資安(字串長度:18)```position_for_agenda---->(字串長度:0)---->President & 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President(字串長度:14)```me_desc---->(字串長度:0)---->龔化中先生畢業於台大電機系及台大資工所，是網路安全與行動通訊的專家。他曾在趨勢科技擔任台灣區研發協理，領導網路資安產品的開發。在轉向行動通訊領域後，他在仁寶電腦及啟碁科技設計開發出多款手機及通訊設備，這些產品廣受 Nokia 等國際大廠及 AT&T 等電信商的青睞。\n\n加入資安院之前，龔化中先生在網路儲存設備大廠 QNAP 擔任技術長與資安長，專注於改善網通及物聯網（IoT）設備的資安設計。\"(字串長度:544)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(6959,'2025-08-10 22:39:23',16,'name2---->(字串長度:0)---->Edward Wei(字串長度:10)```anchor---->speaker-16(字串長度:10)---->edward-wei(字串長度:10)```talk_title---->Autonomous System Design Considerations(字串長度:39)---->Evolution of Autonomous Systems: Core Architectures and Taiwan’s Unique Advantages(字串長度:84)```talk_title2---->自主系統進化論: 關鍵架構是台灣機會(字串長度:50)---->自主系統進化論：關鍵架構與台灣優勢(字串長度:51)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->瑞昱半導體(字串長度:15)---->Realtek Semiconductor Corp.(字串長度:27)```position---->資深顧問(字串長度:12)---->Senior Advisor, President Office(字串長度:32)```company2---->(字串長度:0)---->National Science and Technology Council (NSTC)(字串長度:46)```position2---->(字串長度:0)---->Domain Expert,  Science & Technology Policy Research and Information Center (STPI)(字串長度:82)```desc---->(字串長度:0)---->Over eons, synaptic connectivity endowed animals’ carbon-based brains with high-dimensional processing for survival and decision-making. We now approximate the perceive–understand–decide pipeline with ANNs and multimodal models, while modern silicon handles large, high-dimensional data within explicit energy and latency budgets.\nBuilding truly human-like autonomous systems still faces critical bottlenecks, demanding disruptive architectures to maintain consistent performance in dynamic, unpredictable environments on a few-tenths-of-a-watt power budget.\nMany autonomous systems still center on a compute-intensive, centralized “System 2,” paired with a low-latency sequence-generation engine (the so-called “System 1”). While fine for labs or simulations, this design makes balanced trade-offs among reliability, size, mass, and energy efficiency nearly impossible; the absence of proprioception impedes long-horizon consistency, robustness, and adaptability.\nShift from centralized compute-first to layered, bottom-up autonomy centered on distributed proprioception: low-latency, low-power perception–action loops (the real System 1) handle immediate responses; a predictive, adaptive brain (System 2) governs strategy. Evolutionary distillation and related methods optimize each subsystem’s energy efficiency, mass, volume, reliability, and safety.\nLeveraging strengths in semiconductor manufacturing, advanced packaging, and embedded-system integration, Taiwan is well positioned to drive and define the low-power, high-volume sensing and actuation chiplet markets, building up a complete supply chain of “neural reflex systems” (low-latency, real-time reaction subsystems) for the autonomous systems and robotics industry. This will not only reduce dependence on ultra-high-compute “brains” but also strengthen Taiwan’s position in the global ecosystem ahead of large-scale commercialization of autonomous robots and intelligent systems, and enhance its strategic influence in future end-to-end system competition.\n\n經過漫長的演化，動物的大腦靠突觸把神經細胞連起來，慢慢長出「高維度資訊處理」的能力，才能在複雜環境中存活與決策。對應到今天，我們用人工神經網路（ANNs）與多模態模型，在功能層面近似「感知→理解→決策」的流程；同時，現代矽基硬體也能在明確的能耗與延遲預算內，處理大量高維度資料。\n但要做出真正「類人」的自主系統，還卡著關鍵瓶頸：要在動態、難預測的場景裡長時間保持穩定表現，而且功耗只有二十多瓦，必須採用更顛覆的新架構。\n目前許多自主系統仍以計算密集、集中式的「System 2」為核心，再配一個低延遲的序列生成引擎（所謂「System 1」）。這在實驗室或模擬環境或許可行，但一到實務現場，就很難同時兼顧可靠性、尺寸、重量與能效；而且欠缺本體感知（proprioception），使得長期一致性、穩健度與適應力都受限。\n解法是從「算力集中優先」轉到「由下而上、以分散式本體感知為核心」的分層自主架構：由低延遲、低功耗的感知—動作融合迴路（真正的 System 1）負責即時反應；上層由更會預測、能調適的「大腦」子系統（System 2）負責策略治理。配合演化式蒸餾等方法，各子系統可分別在能效、質量、體積、可靠性與安全性上做到最佳化。\n台灣的優勢在這裡特別關鍵：我們結合半導體製造、先進封裝與嵌入式整合，有機會主導低功耗、高出貨量的感測與致動 chiplet（小晶片）市場，建立面向自主系統與機器人產業的「神經反射系統」（低延遲、即時反應子系統）完整供應鏈。這不只減少對超高算力「大腦」的依賴，也能在大規模商用化之前，強化台灣在全球生態系的地位，並提升未來端到端系統競爭中的戰略影響力。\n(字串長度:4007)```me_desc---->(字串長度:0)---->Edward has 20+ years of leadership in technology development, organic growth hacking, fabless IC design, and computer networking. He advances Realtek’s autonomous systems and robotics research, helps plan its medical-device business, coordinates the CVC task force, co-chairs AITA’s Emerging AI Processor SIG, advises the NSTC’s S&T Policy Adviser Office, and has served for 15 years as senior adviser to Realtek’s Office of the President. He also advises startups pro bono on building sustainable growth.\n\nBefore 2000, he founded or co-founded several companies, then joined Realtek, contributing to SoC technology and the internetworking business. His expertise spans semiconductor physics, hardware/software co-design, organic growth hacking, viral marketing, AI, and medical devices. Outside work, he gardens and farms—especially roses and fruit trees—and enjoys country music as an amateur banjo player and singer.\n\nHe holds an M.S. in Electrical Engineering from USC, where he received the Academic Achievement Award. In 1991, he developed the first markup-language network content-presentation technology using SNMP/MIB (before html), and in 2000 he invented the first MCU-based network controller to connect “everything” to the Internet (now called IoT). He founded four community/social-service initiatives, has mentored 10+ startups, authored 30+ articles, and holds 20+ patents.(字串長度:1405)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/edwei-ai/(字串長度:37)'),(6960,'2025-08-10 22:39:23',19,'name2---->(字串長度:0)---->Teng-Hu Cheng(字串長度:13)```anchor---->speaker-19(字串長度:10)---->teng-hu-cheng(字串長度:13)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->陽明交通大學(字串長度:18)---->National Yang Ming Chiao Tung University(字串長度:40)```position---->教授(字串長度:6)---->Professor(字串長度:9)```company2---->(字串長度:0)---->Tron Future Tech Inc.(字串長度:21)```position2---->(字串長度:0)---->Chief Robotics Scientist(字串長度:24)```me_desc---->(字串長度:0)---->Professor Teng-Hu Cheng is currently a Professor in the Department of Mechanical Engineering at National Yang Ming Chiao Tung University. He earned his Ph.D. in Mechanical Engineering from the University of Florida in 2015 and participated in the Intel IoT research program in the United States. He has over 10 years of experience in UAV control. In 2014, his paper was selected from among 904 submissions to receive the Hugo Schuck Best Paper Award from the American Automatic Control Council (ACC). In 2016, he was appointed as a Young Chair Professor at National Chiao Tung University.\nIn 2018, he received the Ministry of Science and Technology’s (MOST) Outstanding Young Scholar Research Program (three-year term) to conduct research on autonomous UAV technologies, and won Excellent Performance at the MOST AIslanders Show. In 2023, he was awarded the Wu Ta-You Memorial Award by the National Science and Technology Council (NSTC) and the Outstanding Teaching Award by National Yang Ming Chiao Tung University.\nIn 2024, he became the Chief Robotics Scientist at TronFuture Inc., responsible for AI-based UAV defense and interception, as well as GPS-denied UAV positioning and navigation, contributing to securing numerous international orders for the company. He also received the Excellent Young Engineering Professor Award from the Chinese Society of Mechanical Engineers, the Robotics Society of Taiwan, and the Chinese Automatic Control Society.\nIn 2025, he achieved the highest score in the 2nd National Defense Application UAV Challenge. To date, he has published over 50 academic papers in the fields of control and robotics, many of which have appeared in top-tier or highly influential international journals and conferences, such as IEEE TAC, RA-L, TCST, TRO, IEEE/ASME TMECH, ACC, and CDC.\n\n程登湖教授為現任國立陽明交通大學機械系教授，於2015年取得佛羅里達大學機械工程博士學位、並曾參與美國Intel IOT 研究計畫，對無人機控制有超過10年的經驗，2014年論文曾於904篇中獲選美國自動控制學會(ACC) Hugo Schuck 最佳論文獎。2016獲得國立交通大學青年講座教授。2018 年獲得科技部優秀年輕學者研究計畫(3年期)並執行無人機自動駕駛技術之研究。2018 年在科技部舉辦的 AIslanders Show 獲得 excellent performance。2023年榮獲國科會吳大猷先生紀念獎、國立陽明交通大學優良教學獎。2024年擔任創未來科技公司的首席機器人學家，負責無人機的AI防禦與攔截、無GPS的無人機定位與導航，幫助公司爭取眾多國際訂單。程教授也榮獲中國機械工程學會的優秀青年工程教授獎、台灣機器人學會青年機器人工程獎、中華民國自動控制學會的青年自動控制工程獎。2025年榮獲第二屆國防應用無人機挑戰賽榮獲最高分。至今已累積發表超過 50 篇學術論文，涵蓋控制與機器人等領域，並多次發表於領域內頂尖或具指標性的國際期刊與會議，如 IEEE TAC、RA-L、TCST、TRO、IEEE/ASME TMECH、ACC 及 CDC 等。(字串長度:3106)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://ncrl.lab.nycu.edu.tw(字串長度:28)'),(6961,'2025-08-10 22:39:23',35,'company_for_agenda---->(字串長度:0)---->玉山金控(字串長度:12)```lecture_type---->玉山金控(字串長度:12)---->(字串長度:0)'),(6962,'2025-08-10 23:28:30',68,'conf---->HOST(字串長度:4)---->PANEL(字串長度:5)'),(6963,'2025-08-10 23:40:28',69,'lecture_type---->【工作坊】好好用 AI - 教材首發會(字串長度:45)---->(字串長度:0)'),(6964,'2025-08-10 23:40:28',70,'lecture_type---->【工作坊】好好用 AI - 教材首發會(字串長度:45)---->(字串長度:0)'),(6965,'2025-08-10 23:52:47',68,'lecture_type---->(字串長度:0)---->【工作坊】好好用 AI - 教材首發會(字串長度:45)'),(6966,'2025-08-10 23:52:47',69,'lecture_type---->(字串長度:0)---->【工作坊】好好用 AI - 教材首發會(字串長度:45)'),(6967,'2025-08-10 23:52:47',70,'lecture_type---->(字串長度:0)---->【工作坊】好好用 AI - 教材首發會(字串長度:45)'),(6968,'2025-08-10 23:53:43',68,'lecture_type---->【工作坊】好好用 AI - 教材首發會(字串長度:45)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6969,'2025-08-10 23:53:43',69,'lecture_type---->【工作坊】好好用 AI - 教材首發會(字串長度:45)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6970,'2025-08-10 23:53:43',70,'lecture_type---->【工作坊】好好用 AI - 教材首發會(字串長度:45)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6971,'2025-08-11 10:26:39',8,'talk_title---->(字串長度:0)---->AI Policy, Taiwan Choice(字串長度:24)```talk_title2---->AI Policy, AI Literacy, Responsible AI(字串長度:38)---->人工智慧政策，台灣的選擇(字串長度:36)'),(6972,'2025-08-11 10:26:39',7,'talk_title---->(字串長度:0)---->AI Policy, Taiwan Choice(字串長度:24)```talk_title2---->(字串長度:0)---->人工智慧政策，台灣的選擇(字串長度:36)'),(6973,'2025-08-11 10:26:39',9,'me_desc---->(字串長度:0)---->https://drive.google.com/file/d/1zi0CA6xSArZ-oOhMOQKYbuVJHuSRcsC-/view?usp=drive_link(字串長度:85)'),(6974,'2025-08-11 10:26:39',13,'talk_title---->Supercharging Taiwan’s Smart Manufacturing with Siemens’ Digital Twin and Industrial AI\n(字串長度:92)---->Supercharging Taiwan’s Smart Manufacturing & Smart Infrastructure with Siemens’ Digital Twin and Industrial AI\n(字串長度:115)'),(6975,'2025-08-11 10:26:39',81,'name2---->英業達(字串長度:9)---->(字串長度:0)```anchor---->英業達(字串長度:9)---->speaker-81(字串長度:10)'),(6976,'2025-08-11 10:26:39',26,'talk_title2---->融合感測器、AI 和 VR 進行運動員訓練(字串長度:49)----> 融合感測器、AI 和 VR 進行運動員訓練(字串長度:50)'),(6977,'2025-08-11 10:26:39',27,'name2---->(字串長度:0)---->Tsì-Uí İk(字串長度:12)```anchor---->speaker-27(字串長度:10)---->tsì-uí-i̇k(字串長度:13)```talk_title---->(字串長度:0)---->From CoachAI to Smart Badminton Spaces: Creating an Intelligent Sports Ecosystem(字串長度:80)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->陽交大資工(字串長度:15)---->國立陽明交通大學(字串長度:24)```position---->教授(字串長度:6)---->資訊工程學系 / 教授(字串長度:27)```company2---->(字串長度:0)---->National Yang Ming Chiao Tung University(字串長度:40)```position2---->(字串長度:0)---->Department of Computer Science / Professor(字串長度:42)```me_desc---->(字串長度:0)---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1524)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://people.cs.nycu.edu.tw/~yi/(字串長度:34)'),(6978,'2025-08-11 17:17:34',52,'name---->林銘旺(字串長度:9)---->林明旺(字串長度:9)'),(6979,'2025-08-11 17:17:34',53,'name2---->(字串長度:0)---->Yi-Chang Chen(字串長度:13)```anchor---->speaker-53(字串長度:10)---->yi-chang-chen(字串長度:13)```company---->聯發創新基地(字串長度:18)---->MediaTek Research(字串長度:17)```position---->資深經理(字串長度:12)---->Senior Technology Manager(字串長度:25)```me_desc---->(字串長度:0)---->YC currently serves as a Senior Technology Manager at MediaTek Research. He has over 7 years of research and development experience in machine learning, with a focus on language, visual, and speech AI. With 4 years of team leadership experience, he adeptly leads teams through the entire process from research to application of technologies. He has published 7 machine learning papers, including in renowned conferences such as ACL, INTERSPEECH, and ICIP. Additionally, he serves as the webmaster of YC Note and the founder of Open Vibe Developers.(字串長度:548)```website---->(字串長度:0)---->https://ycc.idv.tw/(字串長度:19)'),(6980,'2025-08-11 17:17:34',65,'position---->(字串長度:0)---->助理教授(字串長度:12)'),(6981,'2025-08-11 21:59:50',13,'talk_title---->Supercharging Taiwan’s Smart Manufacturing & Smart Infrastructure with Siemens’ Digital Twin and Industrial AI\r\n(字串長度:116)---->Supercharging Taiwan’s Smart Manufacturing & Smart Infrastructure with Siemens’ Digital Twin and Industrial AI\n(字串長度:115)```talk_lang---->英文(字串長度:6)---->中文(字串長度:6)```desc---->Manufacturing faces urgent global challenges – rising costs, supply chain disruptions, labor shortages, and mounting pressure to decarbonize. In Taiwan, the manufacturing sector accounts for over 50% of national CO₂ emissions, making it a critical priority in the journey toward Net Zero.\r\nThis presentation explores how Siemens’ Digital Twin and Industrial AI technologies are empowering manufacturers to achieve more with less – boosting efficiency, reducing emissions, and building greater resilience. Through real-world reference cases, we’ll show how these technologies are already transforming factories – from virtual design to intelligent operations – driving a new era of sustainable, smart industry in Taiwan and beyond.\r\n(字串長度:746)---->Manufacturing faces urgent global challenges – rising costs, supply chain disruptions, labor shortages, and mounting pressure to decarbonize. In Taiwan, the manufacturing sector accounts for over 50% of national CO₂ emissions, making it a critical priority in the journey toward Net Zero.\r\nThis presentation explores how Siemens’ Digital Twin and Industrial AI technologies are empowering manufacturers to achieve more with less – boosting efficiency, reducing emissions, and building greater resilience. Through real-world reference cases, we’ll show how these technologies are already transforming factories – from virtual design to intelligent operations – driving a new era of sustainable, smart industry in Taiwan and beyond.\r(字串長度:745)```me_desc---->Current position\r\nAug 2024\r\n• President and Chief Executive Officer of Siemens Ltd., Taiwan\r\nProfessional history\r\nOct 2018 – Jul 2024\r\n• Senior Vice President & Global Business Segment Lead for Grid Control Solutions, Siemens AG\r\nJan 2015 – Sep 2018\r\n• Vice President and General Manager, Global Head of Project Execution for HVDC (High Voltage Direct Current),\r\nSiemens AG\r\nJun 2011 – Dec 2014\r\n• General Manager and Head of Erection and Commissioning for High-Voltage Substations and Power\r\nTransmission Solutions, Siemens AG\r\nDec 2009 – Jun 2011\r\n• Head of Department, Electrical Substations and Networks, Siemens AG\r\nSep 2008 – Nov 2009\r\n• Senior Team Lead – Electrical Networks, Siemens AG\r\nSep 2006 – Aug 2008\r\n• Quality Manager, Siemens AG\r\n\r\nEducation\r\n• Postgraduate Diploma in Advanced Management, Business Administration and Management, ESMT Berlin\r\n• Master (Diploma) in Business Administration – International Management, University of Applied Sciences,\r\nMittweida, Germany\r\n• Diploma in International Marketing, Institute of Technology, Sligo, Ireland(字串長度:1102)---->Current position\nAug 2024\n• President and Chief Executive Officer of Siemens Ltd., Taiwan\nProfessional history\nOct 2018 – Jul 2024\n• Senior Vice President & Global Business Segment Lead for Grid Control Solutions, Siemens AG\nJan 2015 – Sep 2018\n• Vice President and General Manager, Global Head of Project Execution for HVDC (High Voltage Direct Current),\nSiemens AG\nJun 2011 – Dec 2014\n• General Manager and Head of Erection and Commissioning for High-Voltage Substations and Power\nTransmission Solutions, Siemens AG\nDec 2009 – Jun 2011\n• Head of Department, Electrical Substations and Networks, Siemens AG\nSep 2008 – Nov 2009\n• Senior Team Lead – Electrical Networks, Siemens AG\nSep 2006 – Aug 2008\n• Quality Manager, Siemens AG\n\nEducation\n• Postgraduate Diploma in Advanced Management, Business Administration and Management, ESMT Berlin\n• Master (Diploma) in Business Administration – International Management, University of Applied Sciences,\nMittweida, Germany\n• Diploma in International Marketing, Institute of Technology, Sligo, Ireland(字串長度:1079)'),(6982,'2025-08-11 21:59:51',70,'lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)----><br>工作坊 - 好好用 AI - 教材首發會(字串長度:46)'),(6983,'2025-08-11 22:02:16',70,'lecture_type----><br>工作坊 - 好好用 AI - 教材首發會(字串長度:46)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6984,'2025-08-12 15:50:21',5,'name2---->(字串長度:0)---->Jonney Shih(字串長度:11)```anchor---->speaker-5(字串長度:9)---->jonney-shih(字串長度:11)```talk_title---->(字串長度:0)---->Advancing Taiwan’s AI Competitiveness\nStrengthening Core Competencies in the AI 2.0 Era to Build a Trusted Global Brand(字串長度:121)```talk_title2---->台灣AI競爭力的戰略定位與實踐:  在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:107)---->台灣AI競爭力的戰略定位與實踐\n在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:105)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->華碩電腦(字串長度:12)---->ASUSTek Computer Inc.(字串長度:21)```position---->董事長(字串長度:9)---->Chairman(字串長度:8)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(6985,'2025-08-12 15:50:22',62,'position---->(字串長度:0)---->副教授兼任所長(字串長度:21)'),(6986,'2025-08-12 15:50:23',63,'position---->(字串長度:0)---->專案經理(字串長度:12)'),(6987,'2025-08-12 15:50:23',64,'position---->(字串長度:0)---->專案經理(字串長度:12)'),(6988,'2025-08-12 15:50:23',66,'position---->(字串長度:0)---->大學生(字串長度:9)'),(6989,'2025-08-12 15:50:23',67,'position---->(字串長度:0)---->大學生(字串長度:9)'),(6990,'2025-08-12 15:50:23',68,'position---->(字串長度:0)---->專案經理(字串長度:12)'),(6991,'2025-08-12 15:50:23',69,'lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)---->(字串長度:0)'),(6992,'2025-08-12 15:50:23',70,'position---->(字串長度:0)---->特聘教授(字串長度:12)```lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)---->(字串長度:0)'),(6993,'2025-08-12 20:42:08',64,'conf---->(字串長度:0)---->AI(字串長度:2)'),(6994,'2025-08-12 20:42:08',69,'lecture_type---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6995,'2025-08-12 20:42:08',70,'lecture_type---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(6996,'2025-08-12 21:03:31',90,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6997,'2025-08-12 21:03:31',91,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6998,'2025-08-12 21:03:31',92,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(6999,'2025-08-12 21:03:31',93,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7000,'2025-08-12 21:03:31',94,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7001,'2025-08-12 21:03:31',95,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7002,'2025-08-12 21:03:31',96,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7003,'2025-08-12 21:03:31',97,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7004,'2025-08-12 21:03:31',98,'lecture_type---->(字串長度:0)---->Flash Talk(字串長度:10)'),(7005,'2025-08-13 08:23:34',51,'name2---->(字串長度:0)---->Andy Huang(字串長度:10)```anchor---->speaker-51(字串長度:10)---->andy-huang(字串長度:10)```talk_title2---->旅遊拚升級 AI創新局(字串長度:27)---->旅遊拼升級·AI創新局(字串長度:28)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->雄獅旅遊(字串長度:12)---->LION TRAVEL SERVICE CO., LTD(字串長度:28)```position---->董事總經理(字串長度:15)---->Managing Director(字串長度:17)```me_desc---->(字串長度:0)---->現職：\n雄獅旅行社 董事總經理\n宏力移動公司 董事\n泉盛股份有限公司 董事\n薰衣草森林股份有限公司 董事\n台灣樂活永續協會 理事長\n台灣鐵道觀光協會 理事\n台灣軌道經濟協會 常務理事\n台灣農業休閒發展協會 顧問\n中華民國觀光工廠全國促進會 顧問\n大東北角觀光圈 顧問\n國立師範大學 樂活產業高階經理人EMBA  副教授(字串長度:421)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7006,'2025-08-13 08:23:34',90,'company---->創辦人暨執行長(字串長度:21)----> 肖準行銷(字串長度:13)```position----> 肖準行銷(字串長度:13)---->創辦人暨執行長(字串長度:21)'),(7007,'2025-08-13 08:23:34',93,'talk_title---->(字串長度:0)---->Unlocking LLM Inference with vLLM: A Quick Benchmark Guide(字串長度:58)```can_playback---->(字串長度:0)---->V(字串長度:1)```desc---->(字串長度:0)---->Large Language Model (LLM) inference efficiency directly shapes both user experience and deployment costs.\nIn this lightning talk, we’ll show how vLLM boosts inference throughput through optimized KV cache management and parallelization, and compare it against Ollama, a popular local inference tool.\nWe’ll walk through a practical, reproducible benchmark that delivers actionable performance insights.\nBy the end, attendees will have a ready-to-use testing workflow and a clear framework for choosing the right serving stack for their needs.(字串長度:546)```me_desc---->(字串長度:0)---->CTO of C.Y. Intelligence — leading AI infrastructure and deployment strategy\n\nAuthor of 《圖像生成式AI的生存指南—以Stable Diffusion為例》, sharing practical insights on generative AI image workflows\n\nSpecialist in infrastructure & container orchestration — experienced with Docker, Kubernetes, Rancher, and cloud-native environments\n\nDeveloper of AI-enabled platforms — integrated tools like Stable Diffusion, Whisper, and RAG systems into production environments\n\nBackground in Mathematics — strong foundation in analysis and mechanics, enabling deep technical understanding of AI architectures\n\nHands-on with performance benchmarking — from AI model serving optimization to large-scale GPU workload management\n\nPublic speaker on generative AI — shared expertise in open-source AI tools, attention mechanisms, and future AI hardware/software architecture trends(字串長度:891)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://nickzhuang.com(字串長度:22)'),(7008,'2025-08-13 08:23:34',96,'name2---->(字串長度:0)---->(Jerry Wu)(字串長度:10)```anchor---->speaker-96(字串長度:10)---->jerry-wu(字串長度:8)```talk_title2---->企業 LLM 私有化的關鍵概念(字串長度:35)---->企業LLM私有化的關鍵概念(字串長度:33)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->亞太智能機器(字串長度:18)---->亞太智能機器\nAPMIC (Accelerate Private Machine Intelligence Company)(字串長度:74)```desc---->(字串長度:0)---->分享最新企業LLM私有化的趨勢，包含模型趨勢、平台軟體、私有化的痛點等(字串長度:99)```me_desc---->(字串長度:0)---->吳柏翰（Jerry Wu）是APMIC創辦人暨執行長，同時也是Google機器學習開發專家(GDE)，專注在自然語言理解領域已超過13年，曾是Gemma、Gemini的測試成員。Jerry於2017年帶領團隊創辦APMIC，開發出在地化模型「CaiGunn」並推出模型微調與蒸餾產品「PrivAI」，致力於提供企業自主AI解決方案，團隊曾入選Google Cloud亞太區AI個案，以及NVIDIA Cloud Validated的認證。在創立APMIC之前，吳柏翰曾擔任製造業首位資深資料科學家，領導進行車上語音助理、知識管理等前瞻技術的研究。同時他也曾是台灣第一家開放資料顧問公司共同創辦人兼技術長，以及國立臺灣科技大學的講師，曾獲得教師教學優良獎。\n\nJerry Wu is the founder and CEO of APMIC, and also a Google Developer Expert (GDE) in Machine Learning. He has focused on Natural Language Understanding (NLU) for over 13 years and was a testing member for Gemma and Gemini. In 2017, Jerry led the team to found APMIC, developing the localized model \"CaiGunn\" and launching the model fine-tuning and distillation product \"PrivAI.\" APMIC is dedicated to providing enterprises with autonomous AI solutions. The team has been selected as a Google Cloud APAC AI case study and has received NVIDIA Cloud Validated certification. Prior to founding APMIC, Jerry Wu served as the first Senior Data Scientist in the manufacturing industry, leading research on cutting-edge technologies such as in-car voice assistants and knowledge management. He was also the co-founder and CTO of Taiwan\'s first open data consulting company and a lecturer at National Taiwan University of Science and Technology, where he received an Excellent Teaching Award.(字串長度:1753)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://sessionize.com/jerry-wu/(字串長度:32)'),(7009,'2025-08-13 20:10:58',90,'can_playback---->(字串長度:0)---->V(字串長度:1)```company----> 肖準行銷(字串長度:13)---->The PockeCt Company by Accucrazy\n肖準行銷(字串長度:45)```position---->創辦人暨執行長(字串長度:21)---->CEO\n創辦人暨執行長(字串長度:25)```desc---->(字串長度:0)---->The Pocket Company 做的一條 AI 自動化提案實戰：\nPandora（AI 即時輿情） → Moana（在地化多平台語感內容生成） → MCP（多代理人協作協議，讓任務接力、不再散掉）(字串長度:211)```me_desc---->(字串長度:0)---->Ian Wu, Founder and CEO\nAccucrazy, The Pocket Company\n\nMusica.ly (現為TikTok)-美國第一人-開啟 ContentTech 第一單\n曾任職美圖秀秀 VP of Global Business Development\n曾任職 Cheetah Mobile Head of Strategic Partnerships \n曾擔任 ASUS, HTC 產品經理\n政治大學資管輔修法律學士\n台灣大學/政治大學/世新大學/東吳大學/實踐大學   AI/區塊鏈 講師\nTVBS/AI Taiwan/ Unicorns Club/ AI x3C聯盟 /XChange  AI論壇講者(字串長度:463)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://accucrazy.com(字串長度:21)'),(7010,'2025-08-13 20:28:08',22,'me_desc---->(字串長度:0)---->現職\n\n國家科學及技術委員會　科技辦公室　副執行秘書\n\n國立陽明交通大學資訊工程學系 教授\n\n \n\n經歷\n\n工業技術研究院機械與機電系統研究所 合聘正研究員\n\n國立陽明交通大學資訊工程學系 教授\n\n \n\n學歷\n\n德國馬克斯·普朗克電腦科學研究所　工程博士\n\n國立交通大學資訊學院多媒體工程所　碩士\n\n國立交通大學電機資訊學院學士班　學士(字串長度:449)'),(7011,'2025-08-14 21:46:12',13,'talk_title---->Supercharging Taiwan’s Smart Manufacturing & Smart Infrastructure with Siemens’ Digital Twin and Industrial AI\n(字串長度:115)---->Supercharging Taiwan’s Smart Manufacturing & Smart Infrastructure with Siemens’ Digital Twin and Industrial AI(字串長度:114)```talk_title2---->(字串長度:0)---->以西門子數位雙生與工業 AI 加速台灣智慧製造與基礎建設(字串長度:76)```talk_lang---->中文(字串長度:6)---->英文(字串長度:6)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣西門子(字串長度:15)---->Siemens Taiwan(字串長度:14)```position---->總裁暨執行長(字串長度:18)---->President and CEO(字串長度:17)```company2---->Siemens Ltd. Taiwan\r\n(字串長度:21)---->(字串長度:0)```position2---->President and Chief Executive Officer(字串長度:37)---->(字串長度:0)```desc---->Manufacturing faces urgent global challenges – rising costs, supply chain disruptions, labor shortages, and mounting pressure to decarbonize. In Taiwan, the manufacturing sector accounts for over 50% of national CO₂ emissions, making it a critical priority in the journey toward Net Zero.\r\nThis presentation explores how Siemens’ Digital Twin and Industrial AI technologies are empowering manufacturers to achieve more with less – boosting efficiency, reducing emissions, and building greater resilience. Through real-world reference cases, we’ll show how these technologies are already transforming factories – from virtual design to intelligent operations – driving a new era of sustainable, smart industry in Taiwan and beyond.\r(字串長度:745)---->Manufacturing faces urgent global challenges – rising costs, supply chain disruptions, labor shortages, and mounting pressure to decarbonize. In Taiwan, the manufacturing sector accounts for over 50% of national CO₂ emissions, making it a critical priority in the journey toward Net Zero. This presentation explores how Siemens’ Digital Twin and Industrial AI technologies are empowering manufacturers to achieve more with less – boosting efficiency, reducing emissions, and building greater resilience. Through real-world reference cases, we’ll show how these technologies are already transforming factories – from virtual design to intelligent operations – driving a new era of sustainable, smart industry in Taiwan and beyond.\n\n(字串長度:745)```me_desc---->Current position\nAug 2024\n• President and Chief Executive Officer of Siemens Ltd., Taiwan\nProfessional history\nOct 2018 – Jul 2024\n• Senior Vice President & Global Business Segment Lead for Grid Control Solutions, Siemens AG\nJan 2015 – Sep 2018\n• Vice President and General Manager, Global Head of Project Execution for HVDC (High Voltage Direct Current),\nSiemens AG\nJun 2011 – Dec 2014\n• General Manager and Head of Erection and Commissioning for High-Voltage Substations and Power\nTransmission Solutions, Siemens AG\nDec 2009 – Jun 2011\n• Head of Department, Electrical Substations and Networks, Siemens AG\nSep 2008 – Nov 2009\n• Senior Team Lead – Electrical Networks, Siemens AG\nSep 2006 – Aug 2008\n• Quality Manager, Siemens AG\n\nEducation\n• Postgraduate Diploma in Advanced Management, Business Administration and Management, ESMT Berlin\n• Master (Diploma) in Business Administration – International Management, University of Applied Sciences,\nMittweida, Germany\n• Diploma in International Marketing, Institute of Technology, Sligo, Ireland(字串長度:1079)---->Frank Grunert is the President and CEO of Siemens Ltd., Taiwan, leading the company since August 2024. He brings nearly 20 years of global leadership experience at Siemens, spanning grid control, high-voltage power transmission, and large-scale infrastructure projects. Frank holds advanced management and international business degrees from ESMT Berlin and the University of Applied Sciences Mittweida.(字串長度:403)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7012,'2025-08-14 21:46:12',22,'name2---->(字串長度:0)---->Wei-Chen Chiu(字串長度:13)```anchor---->speaker-22(字串長度:10)---->wei-chen-chiu(字串長度:13)```company---->國科會科技辦公室(字串長度:24)---->National Yang Ming Chiao Tung University (NYCU)(字串長度:47)```position---->副執行秘書(字串長度:15)---->Professor, Department of Computer Science(字串長度:41)```company2---->(字串長度:0)---->National Science and Technology Council (NSTC)(字串長度:46)```position2---->(字串長度:0)---->Deputy Executive Secretary, Office of Science and Technology Policy(字串長度:67)```me_desc---->現職\n\n國家科學及技術委員會　科技辦公室　副執行秘書\n\n國立陽明交通大學資訊工程學系 教授\n\n \n\n經歷\n\n工業技術研究院機械與機電系統研究所 合聘正研究員\n\n國立陽明交通大學資訊工程學系 教授\n\n \n\n學歷\n\n德國馬克斯·普朗克電腦科學研究所　工程博士\n\n國立交通大學資訊學院多媒體工程所　碩士\n\n國立交通大學電機資訊學院學士班　學士(字串長度:449)---->Wei-Chen Chiu received the B.S. degree in Electrical Engineering and Computer Science and the M.S. degree in Computer Science from National Chiao Tung University (Hsinchu, Taiwan) in 2008 and 2009 respectively. He further received Doctor of Engineering Science (Dr.-Ing.) from Max Planck Institute for Informatics (Saarbrucken, Germany) in 2016. He joined Department of Computer Science, National Chiao Tung University as an Assistant Professor from August 2017, while being promoted to Associate Professor and Full Professor in July 2020 and February 2024, respectively. From May 2021 to May 2024, he was also hired as a Joint Appointment Research Fellow by the Mechanical and Mechatronics Systems Lab of Industrial Technology Research Institute, Taiwan. His current research interests generally include computer vision, machine learning, deep learning, and robotics, with special focuses on generative models, multi-modal perception, and 3D recognition.(字串長度:955)```website---->(字串長度:0)---->https://walonchiu.github.io/(字串長度:28)'),(7013,'2025-08-14 21:46:13',91,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣人工智慧實驗室(字串長度:27)---->台灣人工智慧實驗室\nTaiwan AI Labs FedGPT (字串長度:50)```desc---->(字串長度:0)---->生成式 AI 的興起，為台灣企業與開發者開闢了全新的競爭舞台，也帶來一項關鍵抉擇：是採用功能成熟、部署快速的雲端大模型服務，還是投入資源打造可完全掌控資料、語言與決策邏輯的「軟體主權 AI」？前者能迅速上線並享受完整生態系，後者則能在自有環境中強化繁體中文與專業領域表現，同時保有合規與安全主導權。此分享將立足於講者自 2008 年以來協助逾 200 家亞太企業導入 AI 的實戰經驗，說明從開源模型精調、RAG 多模態知識檢索到代理協作與治理機制的完整技術路徑，並提出適用台灣產業的具體落地策略，協助開發團隊在大模型與 Agentic AI 的新局中取得真正的軟體主權。(字串長度:802)```me_desc---->(字串長度:0)---->張智為（Eric Chang） 現任台灣人工智慧實驗室營運長，擁有逾25年的IT產業經驗，曾任職於多家國際知名企業，包括 NVIDIA 與 HP，並曾擔任多所大專院校之客戶關係管理課程講師。\n\n張智為在 NVIDIA 總部擔任超級運算部門亞太區負責人達15年，期間領導區域團隊擬定策略，並積極拓展生態系統建設，包括與開發者、獨立軟體開發商（ISV）、經銷通路及OEM的合作關係。他專注於新產品推廣與營收成長、業務機會開發、競爭分析及關鍵業務指標追蹤，涵蓋訓練與推論兩大領域的深度學習應用。此外，他亦負責協助各行各業在地化市場定位、產品包裝與導入策略的規劃與執行。(字串長度:755)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7014,'2025-08-14 21:46:13',98,'name2---->(字串長度:0)---->Thomas Cheng(字串長度:12)```anchor---->speaker-98(字串長度:10)---->thomas-cheng(字串長度:12)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->興創知能(字串長度:12)---->興創知能ThinkTron(字串長度:21)```desc---->(字串長度:0)---->Thinktron Ltd: The Provider of Smart Geospatial Information Service ThinkTron Ltd. was established as a joint venture by Japanese company, Kokusai Kogyo Co., Ltd. and Taiwanese company, Sinotech Engineering Consultants, INC. in 2018. We are dedicated to developing smart solutions in the fields of disaster prevention, water management, agriculture, energy and transportation, in order to support the green, sustainable environment and enhance our living standards. With the combined strength of Sinotech INC. in civil engineering and by Kokusai Kogyo Co., Ltd in geospatial information, ThinkTron Ltd. provides the integrated turnkey solutions to clients with our core competence in AI, IoT and Big Data analytics; through applying open data and various monitoring data to the domains, we expect to leverage data values and contribute to the smarter management and greener environment.(字串長度:886)```me_desc---->(字串長度:0)---->興創知能董事長鄭錦桐博士(字串長度:36)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://tw.linkedin.com/company/thinktronltd(字串長度:44)'),(7015,'2025-08-14 22:03:12',10,'company---->(字串長度:0)---->中央研究院法律學研究所(字串長度:33)```position---->中央研究院法律學研究所(字串長度:33)---->研究員(字串長度:9)```company2---->研究員(字串長度:9)---->(字串長度:0)'),(7016,'2025-08-14 22:03:12',80,'company_for_agenda---->(字串長度:0)---->數位經濟暨產業發展協會(字串長度:33)```position_for_agenda---->(字串長度:0)---->理事長(字串長度:9)'),(7017,'2025-08-15 20:02:39',5,'talk_title---->Advancing Taiwan’s AI Competitiveness\nStrengthening Core Competencies in the AI 2.0 Era to Build a Trusted Global Brand(字串長度:121)---->Advancing Taiwan’s AI Competitiveness : \nStrengthening Core Competencies in the AI 2.0 Era to Build a Trusted Global Brand(字串長度:124)'),(7018,'2025-08-15 20:02:40',18,'talk_title---->(字串長度:0)---->\nThe Future of Personalized Universal Assistant (字串長度:48)```talk_title2---->(字串長度:0)---->智慧個人助理的未來世界(字串長度:33)'),(7019,'2025-08-18 19:13:08',5,'talk_title2---->台灣AI競爭力的戰略定位與實踐\n在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:105)---->台灣AI競爭力的戰略定位與實踐 : \n在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:108)'),(7020,'2025-08-18 19:13:09',9,'me_desc---->https://drive.google.com/file/d/1zi0CA6xSArZ-oOhMOQKYbuVJHuSRcsC-/view?usp=drive_link(字串長度:85)---->(字串長度:0)'),(7021,'2025-08-18 19:13:09',80,'name2---->(字串長度:0)---->Jen-Ran Chen(字串長度:12)```anchor---->speaker-80(字串長度:10)---->jen-ran-chen(字串長度:12)'),(7022,'2025-08-18 19:13:09',12,'talk_title---->「AI Inner Power × Digital Duel」 : Mastering Digital Skills to Unlock\r\nNew Transformation for Enterprises(字串長度:109)---->「AI Inner Power × Digital Duel」 : Mastering Digital Skills to Unlock\nNew Transformation for Enterprises(字串長度:108)```desc---->In a time when AI technology is rapidly evolving, businesses must find new ways\r\nto stay competitive in a challenging market. This means not only strengthening\r\ntheir “external skills”—such as building and integrating AI-powered services\r\nand modernizing advanced data centers—but also developing their “inner\r\nstrength”—by improving digital resilience through full visibility and driving\r\nsmart operations with AI-powered organizational change.\r\n\r\nTitled “AI Inner Power × Digital Duel”, this talk uses the world of martial arts as\r\na metaphor, inviting business leaders from all industries to rethink how they\r\nadopt AI, upgrade digital capabilities, and build stronger, more resilient systems.\r\nThe goal is to ensure AI applications remain steady and reliable in fast-changing\r\nenvironments. We will dive into practical strategies for AI-driven digital\r\ntransformation, helping enterprises build a well-balanced, competitive edge—\r\nready to face the digital future with both strength and flexibility.(字串長度:1024)---->In a time when AI technology is rapidly evolving, businesses must find new ways\nto stay competitive in a challenging market. This means not only strengthening\ntheir “external skills”—such as building and integrating AI-powered services\nand modernizing advanced data centers—but also developing their “inner\nstrength”—by improving digital resilience through full visibility and driving\nsmart operations with AI-powered organizational change.\n\nTitled “AI Inner Power × Digital Duel”, this talk uses the world of martial arts as\na metaphor, inviting business leaders from all industries to rethink how they\nadopt AI, upgrade digital capabilities, and build stronger, more resilient systems.\nThe goal is to ensure AI applications remain steady and reliable in fast-changing\nenvironments. We will dive into practical strategies for AI-driven digital\ntransformation, helping enterprises build a well-balanced, competitive edge—\nready to face the digital future with both strength and flexibility.(字串長度:1011)```me_desc---->現任台灣思科金融暨工商事業群總經理,擁有超過 18 年跨國企業的深厚經歷,曾任職\r\n於 IBM、F5 及 Akamai 等知名外商公司,具備豐富的 IT/OT 產業背景。歷年來帶領\r\n業務、產品開發、渠道經銷管理與技術支援團隊,專責推動跨產業、跨領域的 Digital\r\nTransformation 整合解決方案,協助企業客戶全面導入數位應用與建置 IT 基礎架構。\r\n近年來更積極布局次世代的混合式、智慧化與自動化解決方案,涵蓋 AI Ready 資料中\r\n心、資安管理、混合雲架構設計、應用系統可視性規劃以及 AIoT(人工智慧物聯網)\r\n等領域,具備深厚的實務操作與策略規劃經驗。\r\nCurrently serving as the Regional Sales Leader of the Enterprise and Financial Services\r\nGroup at Cisco Taiwan and Jason have over 18 years of experience working with\r\ninternational technology companies. Prior to Cisco, Jason held leadership roles at global\r\nfirms such as IBM, F5, and Akamai, building a strong background in the IT/OT industry.\r\nThroughout Jason’s career, he has led teams across sales, product development,\r\nchannel management and technical support, focusing on delivering integrated digital\r\ntransformation solutions across industries. Jason helps many enterprise clients adopt\r\ndigital applications and build robust IT infrastructure.\r\nIn recent years, Jason has actively focused on next-generation solutions that are hybrid,\r\nintelligent, and automated integration. His expertise covers areas such as AI-ready data\r\ncenters, cybersecurity management, hybrid cloud architecture design, application\r\nvisibility planning, and AIoT (Artificial Intelligence of Things). He brings both hands-on\r\nexperience and strategic insight into driving these innovations forward.(字串長度:1792)---->現任台灣思科金融暨工商事業群總經理,擁有超過 18 年跨國企業的深厚經歷,曾任職\n於 IBM、F5 及 Akamai 等知名外商公司,具備豐富的 IT/OT 產業背景。歷年來帶領\n業務、產品開發、渠道經銷管理與技術支援團隊,專責推動跨產業、跨領域的 Digital\nTransformation 整合解決方案,協助企業客戶全面導入數位應用與建置 IT 基礎架構。\n近年來更積極布局次世代的混合式、智慧化與自動化解決方案,涵蓋 AI Ready 資料中\n心、資安管理、混合雲架構設計、應用系統可視性規劃以及 AIoT(人工智慧物聯網)\n等領域,具備深厚的實務操作與策略規劃經驗。\nCurrently serving as the Regional Sales Leader of the Enterprise and Financial Services\r\nGroup at Cisco Taiwan and Jason have over 18 years of experience working with\r\ninternational technology companies. Prior to Cisco, Jason held leadership roles at global\r\nfirms such as IBM, F5, and Akamai, building a strong background in the IT/OT industry.\r\nThroughout Jason’s career, he has led teams across sales, product development,\r\nchannel management and technical support, focusing on delivering integrated digital\r\ntransformation solutions across industries. Jason helps many enterprise clients adopt\r\ndigital applications and build robust IT infrastructure.\r\nIn recent years, Jason has actively focused on next-generation solutions that are hybrid,\r\nintelligent, and automated integration. His expertise covers areas such as AI-ready data\r\ncenters, cybersecurity management, hybrid cloud architecture design, application\r\nvisibility planning, and AIoT (Artificial Intelligence of Things). He brings both hands-on\r\nexperience and strategic insight into driving these innovations forward.(字串長度:1785)'),(7023,'2025-08-18 19:13:09',15,'talk_title2---->與未知握手：在生成式浪潮時代打造\r\n值得信任的 AI(字串長度:68)---->與未知握手：在生成式浪潮時代打造\n值得信任的 AI(字串長度:67)```me_desc---->龔化中先生畢業於台大電機系及台大資工所，是網路安全與行動通訊的專家。他曾在趨勢科技擔任台灣區研發協理，領導網路資安產品的開發。在轉向行動通訊領域後，他在仁寶電腦及啟碁科技設計開發出多款手機及通訊設備，這些產品廣受 Nokia 等國際大廠及 AT&T 等電信商的青睞。\r\n\r\n加入資安院之前，龔化中先生在網路儲存設備大廠 QNAP 擔任技術長與資安長，專注於改善網通及物聯網（IoT）設備的資安設計。\"(字串長度:546)---->龔化中先生畢業於台大電機系及台大資工所，是網路安全與行動通訊的專家。他曾在趨勢科技擔任台灣區研發協理，領導網路資安產品的開發。在轉向行動通訊領域後，他在仁寶電腦及啟碁科技設計開發出多款手機及通訊設備，這些產品廣受 Nokia 等國際大廠及 AT&T 等電信商的青睞。\n\n加入資安院之前，龔化中先生在網路儲存設備大廠 QNAP 擔任技術長與資安長，專注於改善網通及物聯網（IoT）設備的資安設計。\"(字串長度:544)'),(7024,'2025-08-18 19:13:09',16,'can_playback---->X(字串長度:1)---->V(字串長度:1)```desc---->Over eons, synaptic connectivity endowed animals’ carbon-based brains with high-dimensional processing for survival and decision-making. We now approximate the perceive–understand–decide pipeline with ANNs and multimodal models, while modern silicon handles large, high-dimensional data within explicit energy and latency budgets.\r\nBuilding truly human-like autonomous systems still faces critical bottlenecks, demanding disruptive architectures to maintain consistent performance in dynamic, unpredictable environments on a few-tenths-of-a-watt power budget.\r\nMany autonomous systems still center on a compute-intensive, centralized “System 2,” paired with a low-latency sequence-generation engine (the so-called “System 1”). While fine for labs or simulations, this design makes balanced trade-offs among reliability, size, mass, and energy efficiency nearly impossible; the absence of proprioception impedes long-horizon consistency, robustness, and adaptability.\r\nShift from centralized compute-first to layered, bottom-up autonomy centered on distributed proprioception: low-latency, low-power perception–action loops (the real System 1) handle immediate responses; a predictive, adaptive brain (System 2) governs strategy. Evolutionary distillation and related methods optimize each subsystem’s energy efficiency, mass, volume, reliability, and safety.\r\nLeveraging strengths in semiconductor manufacturing, advanced packaging, and embedded-system integration, Taiwan is well positioned to drive and define the low-power, high-volume sensing and actuation chiplet markets, building up a complete supply chain of “neural reflex systems” (low-latency, real-time reaction subsystems) for the autonomous systems and robotics industry. This will not only reduce dependence on ultra-high-compute “brains” but also strengthen Taiwan’s position in the global ecosystem ahead of large-scale commercialization of autonomous robots and intelligent systems, and enhance its strategic influence in future end-to-end system competition.\r\n\r\n經過漫長的演化，動物的大腦靠突觸把神經細胞連起來，慢慢長出「高維度資訊處理」的能力，才能在複雜環境中存活與決策。對應到今天，我們用人工神經網路（ANNs）與多模態模型，在功能層面近似「感知→理解→決策」的流程；同時，現代矽基硬體也能在明確的能耗與延遲預算內，處理大量高維度資料。\r\n但要做出真正「類人」的自主系統，還卡著關鍵瓶頸：要在動態、難預測的場景裡長時間保持穩定表現，而且功耗只有二十多瓦，必須採用更顛覆的新架構。\r\n目前許多自主系統仍以計算密集、集中式的「System 2」為核心，再配一個低延遲的序列生成引擎（所謂「System 1」）。這在實驗室或模擬環境或許可行，但一到實務現場，就很難同時兼顧可靠性、尺寸、重量與能效；而且欠缺本體感知（proprioception），使得長期一致性、穩健度與適應力都受限。\r\n解法是從「算力集中優先」轉到「由下而上、以分散式本體感知為核心」的分層自主架構：由低延遲、低功耗的感知—動作融合迴路（真正的 System 1）負責即時反應；上層由更會預測、能調適的「大腦」子系統（System 2）負責策略治理。配合演化式蒸餾等方法，各子系統可分別在能效、質量、體積、可靠性與安全性上做到最佳化。\r\n台灣的優勢在這裡特別關鍵：我們結合半導體製造、先進封裝與嵌入式整合，有機會主導低功耗、高出貨量的感測與致動 chiplet（小晶片）市場，建立面向自主系統與機器人產業的「神經反射系統」（低延遲、即時反應子系統）完整供應鏈。這不只減少對超高算力「大腦」的依賴，也能在大規模商用化之前，強化台灣在全球生態系的地位，並提升未來端到端系統競爭中的戰略影響力。\r\n(字串長度:4018)---->Over eons, synaptic connectivity endowed animals’ carbon-based brains with high-dimensional processing for survival and decision-making. We now approximate the perceive–understand–decide pipeline with ANNs and multimodal models, while modern silicon handles large, high-dimensional data within explicit energy and latency budgets.\nBuilding truly human-like autonomous systems still faces critical bottlenecks, demanding disruptive architectures to maintain consistent performance in dynamic, unpredictable environments on a few-tenths-of-a-watt power budget.\nMany autonomous systems still center on a compute-intensive, centralized “System 2,” paired with a low-latency sequence-generation engine (the so-called “System 1”). While fine for labs or simulations, this design makes balanced trade-offs among reliability, size, mass, and energy efficiency nearly impossible; the absence of proprioception impedes long-horizon consistency, robustness, and adaptability.\nShift from centralized compute-first to layered, bottom-up autonomy centered on distributed proprioception: low-latency, low-power perception–action loops (the real System 1) handle immediate responses; a predictive, adaptive brain (System 2) governs strategy. Evolutionary distillation and related methods optimize each subsystem’s energy efficiency, mass, volume, reliability, and safety.\nLeveraging strengths in semiconductor manufacturing, advanced packaging, and embedded-system integration, Taiwan is well positioned to drive and define the low-power, high-volume sensing and actuation chiplet markets, building up a complete supply chain of “neural reflex systems” (low-latency, real-time reaction subsystems) for the autonomous systems and robotics industry. This will not only reduce dependence on ultra-high-compute “brains” but also strengthen Taiwan’s position in the global ecosystem ahead of large-scale commercialization of autonomous robots and intelligent systems, and enhance its strategic influence in future end-to-end system competition.\n\n經過漫長的演化，動物的大腦靠突觸把神經細胞連起來，慢慢長出「高維度資訊處理」的能力，才能在複雜環境中存活與決策。對應到今天，我們用人工神經網路（ANNs）與多模態模型，在功能層面近似「感知→理解→決策」的流程；同時，現代矽基硬體也能在明確的能耗與延遲預算內，處理大量高維度資料。\n但要做出真正「類人」的自主系統，還卡著關鍵瓶頸：要在動態、難預測的場景裡長時間保持穩定表現，而且功耗只有二十多瓦，必須採用更顛覆的新架構。\n目前許多自主系統仍以計算密集、集中式的「System 2」為核心，再配一個低延遲的序列生成引擎（所謂「System 1」）。這在實驗室或模擬環境或許可行，但一到實務現場，就很難同時兼顧可靠性、尺寸、重量與能效；而且欠缺本體感知（proprioception），使得長期一致性、穩健度與適應力都受限。\n解法是從「算力集中優先」轉到「由下而上、以分散式本體感知為核心」的分層自主架構：由低延遲、低功耗的感知—動作融合迴路（真正的 System 1）負責即時反應；上層由更會預測、能調適的「大腦」子系統（System 2）負責策略治理。配合演化式蒸餾等方法，各子系統可分別在能效、質量、體積、可靠性與安全性上做到最佳化。\n台灣的優勢在這裡特別關鍵：我們結合半導體製造、先進封裝與嵌入式整合，有機會主導低功耗、高出貨量的感測與致動 chiplet（小晶片）市場，建立面向自主系統與機器人產業的「神經反射系統」（低延遲、即時反應子系統）完整供應鏈。這不只減少對超高算力「大腦」的依賴，也能在大規模商用化之前，強化台灣在全球生態系的地位，並提升未來端到端系統競爭中的戰略影響力。\n(字串長度:4007)```me_desc---->Edward has 20+ years of leadership in technology development, organic growth hacking, fabless IC design, and computer networking. He advances Realtek’s autonomous systems and robotics research, helps plan its medical-device business, coordinates the CVC task force, co-chairs AITA’s Emerging AI Processor SIG, advises the NSTC’s S&T Policy Adviser Office, and has served for 15 years as senior adviser to Realtek’s Office of the President. He also advises startups pro bono on building sustainable growth.\r\n\r\nBefore 2000, he founded or co-founded several companies, then joined Realtek, contributing to SoC technology and the internetworking business. His expertise spans semiconductor physics, hardware/software co-design, organic growth hacking, viral marketing, AI, and medical devices. Outside work, he gardens and farms—especially roses and fruit trees—and enjoys country music as an amateur banjo player and singer.\r\n\r\nHe holds an M.S. in Electrical Engineering from USC, where he received the Academic Achievement Award. In 1991, he developed the first markup-language network content-presentation technology using SNMP/MIB (before html), and in 2000 he invented the first MCU-based network controller to connect “everything” to the Internet (now called IoT). He founded four community/social-service initiatives, has mentored 10+ startups, authored 30+ articles, and holds 20+ patents.(字串長度:1409)---->Edward has 20+ years of leadership in technology development, organic growth hacking, fabless IC design, and computer networking. He advances Realtek’s autonomous systems and robotics research, helps plan its medical-device business, coordinates the CVC task force, co-chairs AITA’s Emerging AI Processor SIG, advises the NSTC’s S&T Policy Adviser Office, and has served for 15 years as senior adviser to Realtek’s Office of the President. He also advises startups pro bono on building sustainable growth.\n\nBefore 2000, he founded or co-founded several companies, then joined Realtek, contributing to SoC technology and the internetworking business. His expertise spans semiconductor physics, hardware/software co-design, organic growth hacking, viral marketing, AI, and medical devices. Outside work, he gardens and farms—especially roses and fruit trees—and enjoys country music as an amateur banjo player and singer.\n\nHe holds an M.S. in Electrical Engineering from USC, where he received the Academic Achievement Award. In 1991, he developed the first markup-language network content-presentation technology using SNMP/MIB (before html), and in 2000 he invented the first MCU-based network controller to connect “everything” to the Internet (now called IoT). He founded four community/social-service initiatives, has mentored 10+ startups, authored 30+ articles, and holds 20+ patents.(字串長度:1405)```talkfile_link---->X(字串長度:1)---->V(字串長度:1)'),(7025,'2025-08-18 19:13:09',19,'me_desc---->Professor Teng-Hu Cheng is currently a Professor in the Department of Mechanical Engineering at National Yang Ming Chiao Tung University. He earned his Ph.D. in Mechanical Engineering from the University of Florida in 2015 and participated in the Intel IoT research program in the United States. He has over 10 years of experience in UAV control. In 2014, his paper was selected from among 904 submissions to receive the Hugo Schuck Best Paper Award from the American Automatic Control Council (ACC). In 2016, he was appointed as a Young Chair Professor at National Chiao Tung University.\r\nIn 2018, he received the Ministry of Science and Technology’s (MOST) Outstanding Young Scholar Research Program (three-year term) to conduct research on autonomous UAV technologies, and won Excellent Performance at the MOST AIslanders Show. In 2023, he was awarded the Wu Ta-You Memorial Award by the National Science and Technology Council (NSTC) and the Outstanding Teaching Award by National Yang Ming Chiao Tung University.\r\nIn 2024, he became the Chief Robotics Scientist at TronFuture Inc., responsible for AI-based UAV defense and interception, as well as GPS-denied UAV positioning and navigation, contributing to securing numerous international orders for the company. He also received the Excellent Young Engineering Professor Award from the Chinese Society of Mechanical Engineers, the Robotics Society of Taiwan, and the Chinese Automatic Control Society.\r\nIn 2025, he achieved the highest score in the 2nd National Defense Application UAV Challenge. To date, he has published over 50 academic papers in the fields of control and robotics, many of which have appeared in top-tier or highly influential international journals and conferences, such as IEEE TAC, RA-L, TCST, TRO, IEEE/ASME TMECH, ACC, and CDC.\r\n\r\n程登湖教授為現任國立陽明交通大學機械系教授，於2015年取得佛羅里達大學機械工程博士學位、並曾參與美國Intel IOT 研究計畫，對無人機控制有超過10年的經驗，2014年論文曾於904篇中獲選美國自動控制學會(ACC) Hugo Schuck 最佳論文獎。2016獲得國立交通大學青年講座教授。2018 年獲得科技部優秀年輕學者研究計畫(3年期)並執行無人機自動駕駛技術之研究。2018 年在科技部舉辦的 AIslanders Show 獲得 excellent performance。2023年榮獲國科會吳大猷先生紀念獎、國立陽明交通大學優良教學獎。2024年擔任創未來科技公司的首席機器人學家，負責無人機的AI防禦與攔截、無GPS的無人機定位與導航，幫助公司爭取眾多國際訂單。程教授也榮獲中國機械工程學會的優秀青年工程教授獎、台灣機器人學會青年機器人工程獎、中華民國自動控制學會的青年自動控制工程獎。2025年榮獲第二屆國防應用無人機挑戰賽榮獲最高分。至今已累積發表超過 50 篇學術論文，涵蓋控制與機器人等領域，並多次發表於領域內頂尖或具指標性的國際期刊與會議，如 IEEE TAC、RA-L、TCST、TRO、IEEE/ASME TMECH、ACC 及 CDC 等。(字串長度:3111)---->Professor Teng-Hu Cheng is currently a Professor in the Department of Mechanical Engineering at National Yang Ming Chiao Tung University. He earned his Ph.D. in Mechanical Engineering from the University of Florida in 2015 and participated in the Intel IoT research program in the United States. He has over 10 years of experience in UAV control. In 2014, his paper was selected from among 904 submissions to receive the Hugo Schuck Best Paper Award from the American Automatic Control Council (ACC). In 2016, he was appointed as a Young Chair Professor at National Chiao Tung University.\nIn 2018, he received the Ministry of Science and Technology’s (MOST) Outstanding Young Scholar Research Program (three-year term) to conduct research on autonomous UAV technologies, and won Excellent Performance at the MOST AIslanders Show. In 2023, he was awarded the Wu Ta-You Memorial Award by the National Science and Technology Council (NSTC) and the Outstanding Teaching Award by National Yang Ming Chiao Tung University.\nIn 2024, he became the Chief Robotics Scientist at TronFuture Inc., responsible for AI-based UAV defense and interception, as well as GPS-denied UAV positioning and navigation, contributing to securing numerous international orders for the company. He also received the Excellent Young Engineering Professor Award from the Chinese Society of Mechanical Engineers, the Robotics Society of Taiwan, and the Chinese Automatic Control Society.\nIn 2025, he achieved the highest score in the 2nd National Defense Application UAV Challenge. To date, he has published over 50 academic papers in the fields of control and robotics, many of which have appeared in top-tier or highly influential international journals and conferences, such as IEEE TAC, RA-L, TCST, TRO, IEEE/ASME TMECH, ACC, and CDC.\n\n程登湖教授為現任國立陽明交通大學機械系教授，於2015年取得佛羅里達大學機械工程博士學位、並曾參與美國Intel IOT 研究計畫，對無人機控制有超過10年的經驗，2014年論文曾於904篇中獲選美國自動控制學會(ACC) Hugo Schuck 最佳論文獎。2016獲得國立交通大學青年講座教授。2018 年獲得科技部優秀年輕學者研究計畫(3年期)並執行無人機自動駕駛技術之研究。2018 年在科技部舉辦的 AIslanders Show 獲得 excellent performance。2023年榮獲國科會吳大猷先生紀念獎、國立陽明交通大學優良教學獎。2024年擔任創未來科技公司的首席機器人學家，負責無人機的AI防禦與攔截、無GPS的無人機定位與導航，幫助公司爭取眾多國際訂單。程教授也榮獲中國機械工程學會的優秀青年工程教授獎、台灣機器人學會青年機器人工程獎、中華民國自動控制學會的青年自動控制工程獎。2025年榮獲第二屆國防應用無人機挑戰賽榮獲最高分。至今已累積發表超過 50 篇學術論文，涵蓋控制與機器人等領域，並多次發表於領域內頂尖或具指標性的國際期刊與會議，如 IEEE TAC、RA-L、TCST、TRO、IEEE/ASME TMECH、ACC 及 CDC 等。(字串長度:3106)```company_for_agenda---->陽明交通大學(字串長度:18)---->國立陽明交通大學(字串長度:24)```position_for_agenda---->教授(字串長度:6)---->教授、創未來科技--首席機器人學家(字串長度:47)'),(7026,'2025-08-18 19:13:09',22,'company_for_agenda---->陽明交通大學(字串長度:18)---->國立陽明交通大學(字串長度:24)'),(7027,'2025-08-18 19:13:09',23,'company_for_agenda---->清華大學(字串長度:12)---->國立清華大學(字串長度:18)'),(7028,'2025-08-18 19:13:09',25,'position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(7029,'2025-08-18 19:13:09',26,'company---->清大資工(字串長度:12)---->清華大學(字串長度:12)```company_for_agenda---->清大資工(字串長度:12)---->國立清華大學(字串長度:18)```position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(7030,'2025-08-18 19:13:09',27,'me_desc---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \r\nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \r\nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1526)---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1524)```company_for_agenda---->陽交大資工(字串長度:15)---->國立陽明交通大學(字串長度:24)```position_for_agenda---->(字串長度:0)---->教授(字串長度:6)'),(7031,'2025-08-18 19:13:09',49,'talk_title---->Explore the Cutting-Edge Tech \r\nBehind the AI+AR Glasses\r\n(字串長度:58)---->Explore the Cutting-Edge Tech \nBehind the AI+AR Glasses\n(字串長度:56)```desc---->After Mobile,what is next ?\r\nXR Devices Categories and mainstream\r\nreveal detail about Core Technologies of AR smart glasses \r\nHow AI-Powered AR Glasses spatial computing \r\ncan transform the way you work, connect, and experience the world!\r\nWhy AI needs AR Glasses：Not PC and Mobile\r\n AI make AR better、fast and powerful,AI need AR even more。AR give AI own Human sensor to access the realworld,no AI without AR\r\n(字串長度:418)---->After Mobile,what is next ?\nXR Devices Categories and mainstream\nreveal detail about Core Technologies of AR smart glasses \nHow AI-Powered AR Glasses spatial computing \ncan transform the way you work, connect, and experience the world!\nWhy AI needs AR Glasses：Not PC and Mobile\n AI make AR better、fast and powerful,AI need AR even more。AR give AI own Human sensor to access the realworld,no AI without AR\n(字串長度:411)```me_desc----><ul>\r\n  <li>Founder / Chairman of <strong>Jorjin Technologies Inc</strong> (1997 ~ now)</li>\r\n  <li>Founder / Chairman of <strong>AMPAK</strong> (2000 ~ 2007)</li>\r\n  <li>Founder / Chairman of <strong>TSGIA</strong> (2018) / <strong>Taiwan XR Smart Industry Association</strong> (2023 ~ now)</li>\r\n  <li>\r\n    <strong>Taiwan Innovative Software and Services Association</strong>\r\n    <ul>\r\n      <li>Advanced Communication and XR Smart Industry Development Committee (2023 ~ now), <strong>President</strong></li>\r\n    </ul>\r\n  </li>\r\n  <li>Vice Chairman of <strong>3DIDA – 3D Interaction &amp; Display Association</strong> (2023 ~ now)</li>\r\n</ul>(字串長度:649)---->Founder/Chairman of Jorjin Technologies Inc 1997~now\nFounder/Chairman of AMPAK 2000~2007\n\nFounder/Chairman of TSGIA 2018 / Taiwan XR Smart Industry Association 2023~now\n\nTaiwan Innovative Software and Services Association:\nAdvanced Communication and XR Smart Industry Development Committee 2023~now\nPresident\n\nVice Chairman of 3DIDA 3D Interaction & Display Association 2023~now \n(字串長度:380)```company_for_agenda---->Jorjin Technologies Inc. 佐臻(字串長度:31)---->佐臻(股)公司(字串長度:17)```position_for_agenda---->Chairman 董事長(字串長度:18)---->董事長(字串長度:9)'),(7032,'2025-08-18 19:13:09',36,'me_desc---->With over 20 years of experience in the technology industry, I specialize in AI consultancy at International Integrated System, Inc. (IISI).\r\nI previously served as the director of technology at Taiwan AI Academy (AIA), where I lead a team for lecture assistance and practice guiding.  \r\nPrior 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.(字串長度:444)---->With over 20 years of experience in the technology industry, I specialize in AI consultancy at International Integrated System, Inc. (IISI).\nI previously served as the director of technology at Taiwan AI Academy (AIA), where I lead a team for lecture assistance and practice guiding.  \nPrior 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.(字串長度:442)```company_for_agenda---->International Integrated Systems, Inc.(字串長度:38)---->資拓宏宇(字串長度:12)```position_for_agenda---->SISB, Consultant(字串長度:16)---->資深顧問(字串長度:12)'),(7033,'2025-08-18 19:13:09',39,'desc---->Driving Smart Automation with AI, Digital Twin, and Physical AI, We’re building next-generation automation by integrating AI Robots、Digital Twin Infrastructure、Physical AI Applications、AI Nose SLM – a Smell Language Model. These technologies are unified under an AI-powered intelligent platform, enabling a closed-loop logistics and material handling system (R2S & S2R) for the semiconductor industry and smart logistics. From day one, the system is designed to make the right decisions early—delivering the optimal solution through AI-driven precision and feedback.\r\n以 「AI、數位孿生、Physical AI」 為主軸，導入 AI Robot、數位孿生AI 基礎建設、Physical AI 、AI Nose SLM 嗅覺語言模型等應用方案，並以 AI 驅動的智慧平台，提供智慧物流及半導體自動化物料搬運系統 R2S S2R 的 Close Loop 架構，一開始就做對決策，找出最佳解。(字串長度:914)---->Driving Smart Automation with AI, Digital Twin, and Physical AI, We’re building next-generation automation by integrating AI Robots、Digital Twin Infrastructure、Physical AI Applications、AI Nose SLM – a Smell Language Model. These technologies are unified under an AI-powered intelligent platform, enabling a closed-loop logistics and material handling system (R2S & S2R) for the semiconductor industry and smart logistics. From day one, the system is designed to make the right decisions early—delivering the optimal solution through AI-driven precision and feedback.\n以 「AI、數位孿生、Physical AI」 為主軸，導入 AI Robot、數位孿生AI 基礎建設、Physical AI 、AI Nose SLM 嗅覺語言模型等應用方案，並以 AI 驅動的智慧平台，提供智慧物流及半導體自動化物料搬運系統 R2S S2R 的 Close Loop 架構，一開始就做對決策，找出最佳解。(字串長度:913)```me_desc---->Currently works as sales director at KENMEC Mechanical Engineering Co., Ltd., providing automated warehousing, logistics centers, semiconductor OHT systems, AMR, AI Robots, humanoid robots and various robotics solutions, and introducing AI application solutions, including NVIDIA OmniverseTM, MTMC, etc.\r\n目前任職於廣運機械工程股份有限公司，擔任業務總監，提供自動倉儲、物流中心、半導體天車系統、無人搬運車，AI Robot、人型機器人及各式機器人解決方案，並且導入 AI 運用解決方案，包括 NVIDIA OmniverseTM、MTMC等。(字串長度:592)---->Currently works as sales director at KENMEC Mechanical Engineering Co., Ltd., providing automated warehousing, logistics centers, semiconductor OHT systems, AMR, AI Robots, humanoid robots and various robotics solutions, and introducing AI application solutions, including NVIDIA OmniverseTM, MTMC, etc.\n目前任職於廣運機械工程股份有限公司，擔任業務總監，提供自動倉儲、物流中心、半導體天車系統、無人搬運車，AI Robot、人型機器人及各式機器人解決方案，並且導入 AI 運用解決方案，包括 NVIDIA OmniverseTM、MTMC等。(字串長度:591)'),(7034,'2025-08-18 19:13:09',42,'name2---->(字串長度:0)---->Jenn-Jier James Lien(字串長度:20)```anchor---->speaker-42(字串長度:10)---->jenn-jier-james-lien(字串長度:20)```company_for_agenda---->國立成功大學電機資訊學院 國立成功大學資訊工程系(字串長度:70)---->成大電機資訊學院(字串長度:24)```position_for_agenda---->副院長 教授(字串長度:16)---->副院長(字串長度:9)'),(7035,'2025-08-18 19:13:09',43,'company_for_agenda---->(字串長度:0)---->陽明交通大學(字串長度:18)```position_for_agenda---->(字串長度:0)---->副教授(字串長度:9)'),(7036,'2025-08-18 19:13:09',44,'company_for_agenda---->National Taiwan University(字串長度:26)----> 台灣大學電機系(字串長度:22)```position_for_agenda---->Assistant Professor(字串長度:19)---->助理教授(字串長度:12)'),(7037,'2025-08-18 19:13:09',45,'position_for_agenda---->President & CEO(字串長度:15)---->執行長(字串長度:9)'),(7038,'2025-08-18 19:13:09',47,'company_for_agenda---->(字串長度:0)---->Deloitte(字串長度:8)```position_for_agenda---->(字串長度:0)---->資深執行副總經理 (字串長度:25)'),(7039,'2025-08-18 19:13:09',34,'company_for_agenda---->(字串長度:0)----> Appier(字串長度:7)```position_for_agenda---->(字串長度:0)---->產品管理副總(字串長度:18)'),(7040,'2025-08-18 19:13:09',53,'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)'),(7041,'2025-08-18 19:13:09',51,'me_desc---->現職：\r\n雄獅旅行社 董事總經理\r\n宏力移動公司 董事\r\n泉盛股份有限公司 董事\r\n薰衣草森林股份有限公司 董事\r\n台灣樂活永續協會 理事長\r\n台灣鐵道觀光協會 理事\r\n台灣軌道經濟協會 常務理事\r\n台灣農業休閒發展協會 顧問\r\n中華民國觀光工廠全國促進會 顧問\r\n大東北角觀光圈 顧問\r\n國立師範大學 樂活產業高階經理人EMBA  副教授(字串長度:432)---->現職：\n雄獅旅行社 董事總經理\n宏力移動公司 董事\n泉盛股份有限公司 董事\n薰衣草森林股份有限公司 董事\n台灣樂活永續協會 理事長\n台灣鐵道觀光協會 理事\n台灣軌道經濟協會 常務理事\n台灣農業休閒發展協會 顧問\n中華民國觀光工廠全國促進會 顧問\n大東北角觀光圈 顧問\n國立師範大學 樂活產業高階經理人EMBA  副教授(字串長度:421)'),(7042,'2025-08-18 19:13:09',55,'company_for_agenda---->(字串長度:0)---->台灣人工智慧協會(字串長度:24)```position_for_agenda---->(字串長度:0)---->策略長 (字串長度:10)'),(7043,'2025-08-18 19:13:09',90,'company---->The PockeCt Company by Accucrazy\r\n肖準行銷(字串長度:46)---->The PockeCt Company by Accucrazy\n肖準行銷(字串長度:45)```position---->CEO\r\n創辦人暨執行長(字串長度:26)---->CEO\n創辦人暨執行長(字串長度:25)```desc---->The Pocket Company 做的一條 AI 自動化提案實戰：\r\nPandora（AI 即時輿情） → Moana（在地化多平台語感內容生成） → MCP（多代理人協作協議，讓任務接力、不再散掉）(字串長度:212)---->The Pocket Company 做的一條 AI 自動化提案實戰：\nPandora（AI 即時輿情） → Moana（在地化多平台語感內容生成） → MCP（多代理人協作協議，讓任務接力、不再散掉）(字串長度:211)```me_desc---->Ian Wu, Founder and CEO\r\nAccucrazy, The Pocket Company\r\n\r\nMusica.ly (現為TikTok)-美國第一人-開啟 ContentTech 第一單\r\n曾任職美圖秀秀 VP of Global Business Development\r\n曾任職 Cheetah Mobile Head of Strategic Partnerships \r\n曾擔任 ASUS, HTC 產品經理\r\n政治大學資管輔修法律學士\r\n台灣大學/政治大學/世新大學/東吳大學/實踐大學   AI/區塊鏈 講師\r\nTVBS/AI Taiwan/ Unicorns Club/ AI x3C聯盟 /XChange  AI論壇講者(字串長度:472)---->Ian Wu, Founder and CEO\nAccucrazy, The Pocket Company\n\nMusica.ly (現為TikTok)-美國第一人-開啟 ContentTech 第一單\n曾任職美圖秀秀 VP of Global Business Development\n曾任職 Cheetah Mobile Head of Strategic Partnerships \n曾擔任 ASUS, HTC 產品經理\n政治大學資管輔修法律學士\n台灣大學/政治大學/世新大學/東吳大學/實踐大學   AI/區塊鏈 講師\nTVBS/AI Taiwan/ Unicorns Club/ AI x3C聯盟 /XChange  AI論壇講者(字串長度:463)```company_for_agenda---->(字串長度:0)---->肖準行銷(字串長度:12)```position_for_agenda---->(字串長度:0)---->創辦人暨執行長(字串長度:21)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7044,'2025-08-18 19:13:10',91,'company---->台灣人工智慧實驗室\r\nTaiwan AI Labs FedGPT (字串長度:51)---->台灣人工智慧實驗室\nTaiwan AI Labs FedGPT (字串長度:50)```me_desc---->張智為（Eric Chang） 現任台灣人工智慧實驗室營運長，擁有逾25年的IT產業經驗，曾任職於多家國際知名企業，包括 NVIDIA 與 HP，並曾擔任多所大專院校之客戶關係管理課程講師。\r\n\r\n張智為在 NVIDIA 總部擔任超級運算部門亞太區負責人達15年，期間領導區域團隊擬定策略，並積極拓展生態系統建設，包括與開發者、獨立軟體開發商（ISV）、經銷通路及OEM的合作關係。他專注於新產品推廣與營收成長、業務機會開發、競爭分析及關鍵業務指標追蹤，涵蓋訓練與推論兩大領域的深度學習應用。此外，他亦負責協助各行各業在地化市場定位、產品包裝與導入策略的規劃與執行。(字串長度:757)---->張智為（Eric Chang） 現任台灣人工智慧實驗室營運長，擁有逾25年的IT產業經驗，曾任職於多家國際知名企業，包括 NVIDIA 與 HP，並曾擔任多所大專院校之客戶關係管理課程講師。\n\n張智為在 NVIDIA 總部擔任超級運算部門亞太區負責人達15年，期間領導區域團隊擬定策略，並積極拓展生態系統建設，包括與開發者、獨立軟體開發商（ISV）、經銷通路及OEM的合作關係。他專注於新產品推廣與營收成長、業務機會開發、競爭分析及關鍵業務指標追蹤，涵蓋訓練與推論兩大領域的深度學習應用。此外，他亦負責協助各行各業在地化市場定位、產品包裝與導入策略的規劃與執行。(字串長度:755)```company_for_agenda---->(字串長度:0)---->台灣人工智慧實驗室(字串長度:27)```position_for_agenda---->(字串長度:0)---->營運長(字串長度:9)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7045,'2025-08-18 19:13:10',92,'talk_title2---->微型品牌的自動行銷革命(字串長度:33)---->品牌行銷如何應用AI來創造更深度的消費者溝通(字串長度:62)```can_playback---->(字串長度:0)---->V(字串長度:1)```desc---->(字串長度:0)---->在數位行銷日益競爭的時代，品牌溝通已不再只是「單向傳遞訊息」，而是需要與消費者建立長期且有溫度的互動。AI 的應用正為品牌帶來全新的突破：從 數據洞察 驅動的精準分眾，到 生成式 AI 打造個人化內容，再到 智慧客服與互動體驗 的即時回應，品牌得以在消費者旅程的每一個關鍵節點提供專屬價值。AI 不僅能提升溝通效率，更能放大品牌理解與回應消費者需求的深度，最終實現「有感連結」與「持續信任」，成為品牌永續經營的重要動能。(字串長度:600)```me_desc---->(字串長度:0)---->擁有超過 15 年地產科技與行銷數據應用經驗，專精商務與數據整合，結合 AI 與 MarTech 創新應用，助品牌掌握趨勢、優化決策、驅動成長。曾榮獲數位策略百大經理人，2018 年創立愛酷智能科技 AccuHit AI，專注開發數據 AI 智能驅動的解決方案，協助零售、科技、數位廣告企業深化數據與 AI 應用，突破既有行銷與營運模式。 (字串長度:426)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->愛酷智能科技(字串長度:18)```position_for_agenda---->(字串長度:0)---->創辦人暨執行長(字串長度:21)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7046,'2025-08-18 19:13:10',93,'company---->承羽智慧(字串長度:12)---->承羽智慧 / C.Y.Intelligence(字串長度:31)```position---->技術長(字串長度:9)---->研發部 - 技術長 / RDD - CTO(字串長度:33)```company2---->(字串長度:0)---->承羽智慧(字串長度:12)```position2---->(字串長度:0)---->技術長(字串長度:9)```desc---->Large Language Model (LLM) inference efficiency directly shapes both user experience and deployment costs.\r\nIn this lightning talk, we’ll show how vLLM boosts inference throughput through optimized KV cache management and parallelization, and compare it against Ollama, a popular local inference tool.\r\nWe’ll walk through a practical, reproducible benchmark that delivers actionable performance insights.\r\nBy the end, attendees will have a ready-to-use testing workflow and a clear framework for choosing the right serving stack for their needs.(字串長度:549)---->Large Language Model (LLM) inference efficiency directly shapes both user experience and deployment costs.\nIn this lightning talk, we’ll show how vLLM boosts inference throughput through optimized KV cache management and parallelization, and compare it against Ollama, a popular local inference tool.\nWe’ll walk through a practical, reproducible benchmark that delivers actionable performance insights.\nBy the end, attendees will have a ready-to-use testing workflow and a clear framework for choosing the right serving stack for their needs.(字串長度:546)```me_desc---->CTO of C.Y. Intelligence — leading AI infrastructure and deployment strategy\r\n\r\nAuthor of 《圖像生成式AI的生存指南—以Stable Diffusion為例》, sharing practical insights on generative AI image workflows\r\n\r\nSpecialist in infrastructure & container orchestration — experienced with Docker, Kubernetes, Rancher, and cloud-native environments\r\n\r\nDeveloper of AI-enabled platforms — integrated tools like Stable Diffusion, Whisper, and RAG systems into production environments\r\n\r\nBackground in Mathematics — strong foundation in analysis and mechanics, enabling deep technical understanding of AI architectures\r\n\r\nHands-on with performance benchmarking — from AI model serving optimization to large-scale GPU workload management\r\n\r\nPublic speaker on generative AI — shared expertise in open-source AI tools, attention mechanisms, and future AI hardware/software architecture trends(字串長度:903)---->CTO of C.Y. Intelligence — leading AI infrastructure and deployment strategy\n\nAuthor of 《圖像生成式AI的生存指南—以Stable Diffusion為例》, sharing practical insights on generative AI image workflows\n\nSpecialist in infrastructure & container orchestration — experienced with Docker, Kubernetes, Rancher, and cloud-native environments\n\nDeveloper of AI-enabled platforms — integrated tools like Stable Diffusion, Whisper, and RAG systems into production environments\n\nBackground in Mathematics — strong foundation in analysis and mechanics, enabling deep technical understanding of AI architectures\n\nHands-on with performance benchmarking — from AI model serving optimization to large-scale GPU workload management\n\nPublic speaker on generative AI — shared expertise in open-source AI tools, attention mechanisms, and future AI hardware/software architecture trends(字串長度:891)```company_for_agenda---->(字串長度:0)---->承羽智慧(字串長度:12)```position_for_agenda---->(字串長度:0)---->技術長(字串長度:9)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7047,'2025-08-18 19:13:10',94,'name---->Liang-Hsun Huang, (字串長度:18)---->黃瑞賢(字串長度:9)```name2---->(字串長度:0)---->Liang-Hsun Huang, (字串長度:18)```anchor---->speaker-94(字串長度:10)---->liang-hsun-huang-(字串長度:17)```talk_title---->(字串長度:0)---->The Art of GRPO Training(字串長度:24)```talk_title2---->The Art of GRPO Training(字串長度:24)---->AIoT 與 GeoAI 於災害管理之應用(字串長度:39)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->Twinkle AI(字串長度:10)---->興創知能股份有限公司( (ThinkTron)(字串長度:43)```position---->Founder(字串長度:7)---->事業一部 部長(字串長度:19)```company2---->(字串長度:0)---->Twinkle AI(字串長度:10)```position2---->(字串長度:0)---->Founder(字串長度:7)```desc---->(字串長度:0)---->AIoT 與 GeoAI 正逐漸成為智慧防災的重要核心技術。兩者融合能強化監測、預警與應變效率，協助政府與單位提升災害管理能力，達成減災與韌性城市目標。(字串長度:204)```me_desc---->(字串長度:0)---->興創知能事業一部 部長(字串長度:31)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->興創知能(字串長度:12)```position_for_agenda---->(字串長度:0)---->部長(字串長度:6)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7048,'2025-08-18 19:13:10',95,'lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7049,'2025-08-18 19:13:10',96,'company---->亞太智能機器\r\nAPMIC (Accelerate Private Machine Intelligence Company)(字串長度:75)---->亞太智能機器\nAPMIC (Accelerate Private Machine Intelligence Company)(字串長度:74)```me_desc---->吳柏翰（Jerry Wu）是APMIC創辦人暨執行長，同時也是Google機器學習開發專家(GDE)，專注在自然語言理解領域已超過13年，曾是Gemma、Gemini的測試成員。Jerry於2017年帶領團隊創辦APMIC，開發出在地化模型「CaiGunn」並推出模型微調與蒸餾產品「PrivAI」，致力於提供企業自主AI解決方案，團隊曾入選Google Cloud亞太區AI個案，以及NVIDIA Cloud Validated的認證。在創立APMIC之前，吳柏翰曾擔任製造業首位資深資料科學家，領導進行車上語音助理、知識管理等前瞻技術的研究。同時他也曾是台灣第一家開放資料顧問公司共同創辦人兼技術長，以及國立臺灣科技大學的講師，曾獲得教師教學優良獎。\r\n\r\nJerry Wu is the founder and CEO of APMIC, and also a Google Developer Expert (GDE) in Machine Learning. He has focused on Natural Language Understanding (NLU) for over 13 years and was a testing member for Gemma and Gemini. In 2017, Jerry led the team to found APMIC, developing the localized model \"CaiGunn\" and launching the model fine-tuning and distillation product \"PrivAI.\" APMIC is dedicated to providing enterprises with autonomous AI solutions. The team has been selected as a Google Cloud APAC AI case study and has received NVIDIA Cloud Validated certification. Prior to founding APMIC, Jerry Wu served as the first Senior Data Scientist in the manufacturing industry, leading research on cutting-edge technologies such as in-car voice assistants and knowledge management. He was also the co-founder and CTO of Taiwan\'s first open data consulting company and a lecturer at National Taiwan University of Science and Technology, where he received an Excellent Teaching Award.(字串長度:1755)---->吳柏翰（Jerry Wu）是APMIC創辦人暨執行長，同時也是Google機器學習開發專家(GDE)，專注在自然語言理解領域已超過13年，曾是Gemma、Gemini的測試成員。Jerry於2017年帶領團隊創辦APMIC，開發出在地化模型「CaiGunn」並推出模型微調與蒸餾產品「PrivAI」，致力於提供企業自主AI解決方案，團隊曾入選Google Cloud亞太區AI個案，以及NVIDIA Cloud Validated的認證。在創立APMIC之前，吳柏翰曾擔任製造業首位資深資料科學家，領導進行車上語音助理、知識管理等前瞻技術的研究。同時他也曾是台灣第一家開放資料顧問公司共同創辦人兼技術長，以及國立臺灣科技大學的講師，曾獲得教師教學優良獎。\n\nJerry Wu is the founder and CEO of APMIC, and also a Google Developer Expert (GDE) in Machine Learning. He has focused on Natural Language Understanding (NLU) for over 13 years and was a testing member for Gemma and Gemini. In 2017, Jerry led the team to found APMIC, developing the localized model \"CaiGunn\" and launching the model fine-tuning and distillation product \"PrivAI.\" APMIC is dedicated to providing enterprises with autonomous AI solutions. The team has been selected as a Google Cloud APAC AI case study and has received NVIDIA Cloud Validated certification. Prior to founding APMIC, Jerry Wu served as the first Senior Data Scientist in the manufacturing industry, leading research on cutting-edge technologies such as in-car voice assistants and knowledge management. He was also the co-founder and CTO of Taiwan\'s first open data consulting company and a lecturer at National Taiwan University of Science and Technology, where he received an Excellent Teaching Award.(字串長度:1753)```company_for_agenda---->(字串長度:0)---->亞太智能機器(字串長度:18)```position_for_agenda---->(字串長度:0)---->創辦人兼執行長(字串長度:21)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7050,'2025-08-18 19:13:10',97,'lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7051,'2025-08-18 19:13:10',98,'company_for_agenda---->(字串長度:0)---->興創知能(字串長度:12)```position_for_agenda---->(字串長度:0)----> 董事長(字串長度:10)```lecture_type---->Flash Talk(字串長度:10)---->Lighting talks(字串長度:14)'),(7052,'2025-08-18 19:13:10',61,'company_for_agenda---->(字串長度:0)---->台灣人工智慧學校基金會(字串長度:33)```position_for_agenda---->(字串長度:0)---->秘書長 (字串長度:10)'),(7053,'2025-08-18 19:13:10',62,'company---->台大語言所(字串長度:15)---->台大文學院(字串長度:15)```position---->副教授兼任所長(字串長度:21)---->副院長(字串長度:9)```company_for_agenda---->(字串長度:0)---->台大文學院(字串長度:15)```position_for_agenda---->(字串長度:0)---->副院長(字串長度:9)'),(7054,'2025-08-18 19:13:10',71,'company_for_agenda---->(字串長度:0)---->台大語言所(字串長度:15)```position_for_agenda---->(字串長度:0)---->碩士生(字串長度:9)'),(7055,'2025-08-18 19:13:10',72,'company_for_agenda---->(字串長度:0)---->台大語言所(字串長度:15)```position_for_agenda---->(字串長度:0)---->碩士生(字串長度:9)'),(7056,'2025-08-18 19:13:10',63,'company_for_agenda---->(字串長度:0)---->AIA(字串長度:3)```position_for_agenda---->(字串長度:0)---->專案經理(字串長度:12)'),(7057,'2025-08-18 19:13:10',64,'company_for_agenda---->(字串長度:0)---->均一教育(字串長度:12)```position_for_agenda---->(字串長度:0)---->專案經理(字串長度:12)'),(7058,'2025-08-18 19:13:10',65,'company_for_agenda---->(字串長度:0)---->政大傳播系(字串長度:15)```position_for_agenda---->(字串長度:0)---->助理教授(字串長度:12)'),(7059,'2025-08-18 19:13:10',66,'company_for_agenda---->(字串長度:0)---->政大傳播系(字串長度:15)```position_for_agenda---->(字串長度:0)---->大學生(字串長度:9)'),(7060,'2025-08-18 19:13:10',67,'company_for_agenda---->(字串長度:0)---->政大傳播系(字串長度:15)```position_for_agenda---->(字串長度:0)---->大學生(字串長度:9)'),(7061,'2025-08-18 19:13:10',68,'company_for_agenda---->(字串長度:0)---->AIA(字串長度:3)```position_for_agenda---->(字串長度:0)---->專案經理(字串長度:12)'),(7062,'2025-08-18 19:13:10',69,'company_for_agenda---->(字串長度:0)---->Meta(字串長度:4)'),(7063,'2025-08-18 19:13:10',70,'company_for_agenda---->(字串長度:0)---->政大傳播(字串長度:12)```position_for_agenda---->(字串長度:0)---->特聘教授(字串長度:12)'),(7064,'2025-08-18 19:26:40',19,'company2---->Tron Future Tech Inc.(字串長度:21)---->創未來科技(字串長度:15)```position2---->Chief Robotics Scientist(字串長度:24)---->首席機器人學家(字串長度:21)```position_for_agenda---->教授、創未來科技--首席機器人學家(字串長度:47)---->教授(字串長度:6)'),(7065,'2025-08-18 19:36:32',90,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7066,'2025-08-18 19:36:32',91,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7067,'2025-08-18 19:36:32',92,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7068,'2025-08-18 19:36:32',93,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7069,'2025-08-18 19:36:32',94,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7070,'2025-08-18 19:36:32',95,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7071,'2025-08-18 19:36:32',96,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7072,'2025-08-18 19:36:33',97,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7073,'2025-08-18 19:36:33',98,'lecture_type---->Lighting talks(字串長度:14)---->Lighting Show(字串長度:13)'),(7074,'2025-08-19 20:39:44',47,'position_for_agenda---->資深執行副總經理 (字串長度:25)---->資深副總(字串長度:12)'),(7075,'2025-08-19 20:39:44',46,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7076,'2025-08-19 20:39:44',55,'can_playback---->X(字串長度:1)---->V(字串長度:1)```company---->台灣人工智慧協會(字串長度:24)---->TAIA台灣人工智慧協會(字串長度:28)```position---->策略長(字串長度:9)---->CSO 策略長(字串長度:13)```me_desc---->(字串長度:0)---->Connyn Kang-Lin Chang is a seasoned AI professional, serving as Chief Strategy Officer and Executive Director of the Taiwan Artificial Intelligence Association (TAIA). She is currently pursuing her Ph.D. in Computer Science and Information Engineering at National Central University.\n\nShe holds an MSc in Finance from the ICMA Centre, Henley Business School, Uni. of Reading, U.K., and has completed the Executive, Tech, NLP, and LLM programs at the Taiwan AI Academy (AIA), with a focus on AI, FinTech, and advanced technology leadership. Connyn also contributes her expertise as a member of the Executive Yuan Open Data Advisory Committee and the Presidential Hackathon Expert Counseling Team.\n\nSince 2019, she has led AI Talk/AI Day, Taiwan’s largest recurring AI community event series, fostering cross-sector collaboration and knowledge sharing. As a recognized moderator and bilingual host, she has been featured at major industry gatherings including the AI Annual Conference (2020–present), the 2025 AI Forum, the AI Award Ceremony (2023–present), and international platforms such as the UK–Taiwan and USA–Taiwan AI+ Smart Manufacturing Conferences.(字串長度:1167)```position_for_agenda---->策略長 (字串長度:10)---->CSO 策略長(字串長度:13)'),(7077,'2025-08-19 20:39:44',94,'talk_title---->The Art of GRPO Training(字串長度:24)---->(字串長度:0)'),(7078,'2025-08-19 20:39:44',61,'talk_title2---->(字串長度:0)---->文科生用 AI(字串長度:15)'),(7079,'2025-08-19 20:39:44',62,'lecture_type---->(字串長度:0)---->文科生用 AI(字串長度:15)'),(7080,'2025-08-19 20:39:44',71,'talk_title2---->(字串長度:0)---->文科生用 AI(字串長度:15)'),(7081,'2025-08-19 20:39:44',72,'talk_title2---->(字串長度:0)---->文科生用 AI(字串長度:15)'),(7082,'2025-08-19 20:39:44',65,'lecture_type---->(字串長度:0)---->傳播人用 AI(字串長度:15)'),(7083,'2025-08-19 21:27:57',61,'talk_title2---->文科生用 AI(字串長度:15)---->(字串長度:0)'),(7084,'2025-08-20 20:17:45',1,'me_desc---->(字串長度:0)---->現職\r\n國票金控公司董事長\r\n台灣人工智慧學校基金會副董事長\r\n經歷\r\n台灣大學國際企業研究所所長\r\n台灣土地銀行董事長\r\n行政院秘書長\r\n行政院研究發展考核委員會主任委員\r\n臺灣土地銀行董事長\r\n臺灣金融資產服務公司董事長\r\n中華經濟研究院董事\r\n臺灣證券交易所董事\r\n學歷\r\n法國巴黎大學經濟博士\r\n倫敦大學帝國學院管理碩士(字串長度:436)'),(7085,'2025-08-20 20:17:45',2,'me_desc---->(字串長度:0)---->蕭美琴1971年出生於日本神戶，父親蕭清芬是臺南人，曾任台南神學院院長，母親邱碧玉是美國人，也是音樂老師。融合臺灣本土，以及美、日多元的成長背景，讓她成為家族的溝通橋梁，也為她日後在國際、外交領域堅韌、靈活、專業的「戰貓精神」奠定根基。\r\n\r\n蕭美琴畢業於臺南師範專科學校附屬小學、台南市後甲國民中學。國中畢業後隨家庭移居美國。高中畢業後就讀歐柏林學院，於1993年取得東亞研究學士學位，之後並取得哥倫比亞大學政治學碩士學位，專長為國際關係。\r\n\r\n碩士畢業後，先後於1995年擔任民主進步黨駐美代表處活動執行長，1996年擔任國際事務部副主任，1997年升任主任至2006年，並於2000年進入總統府擔任顧問、總統英文秘書及翻譯。\r\n\r\n2001年開始，代表民主進步黨參選中央民意代表，並曾擔任第5、6、8、9共四屆立法委員，任內推動花蓮交通建設與農業、性別平權，亦關注外交與人權議題，在外交領域的耕耘及專業，也深獲國內機構與國際組織信任；先後擔任過臺灣民主基金會董事（2003-2020）、亞洲自由民主聯盟（CALD）秘書長（2004-2005）、主席（2018-2020）、以及國際自由聯盟（LI）副主席（2005-2012）等職。\r\n\r\n2020年擔任國家安全會議諮詢委員，並於同年7月赴美就任中華民國駐美代表，在全球疫情影響下，仍締造亮眼外交成績，國際媒體評為「華府最有影響力大使之一」；至2023年返臺參與第16任總統、副總統選舉，並當選為中華民國第16任副總統。(字串長度:1700)```website---->(字串長度:0)---->https://www.president.gov.tw/Page/695(字串長度:37)'),(7086,'2025-08-20 20:17:45',4,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣人工智慧學校(字串長度:24)---->Taiwan AI Academy(字串長度:17)```position---->執行長(字串長度:9)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\n\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1505)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://cclljj.github.io/(字串長度:25)'),(7087,'2025-08-20 20:17:45',5,'me_desc---->(字串長度:0)---->https://drive.google.com/file/d/17P0ufmV98uu-3cr0B109OknXzIWRW3a_/view?usp=drive_link(字串長度:85)'),(7088,'2025-08-20 20:17:45',7,'name2---->(字串長度:0)---->Su,Chun-Jung(James)(字串長度:19)```anchor---->speaker-7(字串長度:9)---->suchun-jungjames(字串長度:16)'),(7089,'2025-08-20 20:17:45',9,'position---->獨立董事(字串長度:12)---->Independent Director(字串長度:20)```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:1072)'),(7090,'2025-08-20 20:17:45',11,'me_desc---->(字串長度:0)---->Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\r\n\r\n現職\r\n\r\n台灣人工智慧學校校務長\r\n國科會 Taiwan AI 卓越中心策略委員\r\n中華民國人工智慧學會理事\r\n經歷\r\n\r\n台灣人工智慧學校營運長 / 代理執行長\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\r\n學歷\r\n\r\n國立清華大學工學博士候選人(字串長度:1260)'),(7091,'2025-08-20 20:17:45',12,'name2---->Jason Lu(字串長度:8)---->Jason Lu.(字串長度:9)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣思科 (字串長度:13)---->Finance and Commercial Enterprise(字串長度:33)```position---->金融暨工商事業群 總經理(字串長度:34)---->Leader, Regional Sales.(字串長度:23)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://www.linkedin.com/in/jason-chia-cheng-lu-42692291/(字串長度:57)'),(7092,'2025-08-20 20:17:45',17,'company---->聖洋科技cacafly(字串長度:19)---->聖洋科技cacaFly(字串長度:19)```me_desc---->(字串長度:0)---->CH is the VP of Technology at cacaFly Cloud Intelligence Center. He has previously developed apps that have garnered millions of downloads and reached top ranks on Google and Apple charts, as well as managing high-traffic network services with billions of data flow. He is also a speaker at TEDx and AWS SUMMIT, as well as a speaker at the Taiwan Artificial Intelligence Conference and an adjunct lecturer at National Taiwan University of Science and Technology.(字串長度:462)```company_for_agenda---->聖洋科技cacafly(字串長度:19)---->聖洋科技cacaFly(字串長度:19)```website---->(字串長度:0)---->https://www.facebook.com/chengho.wu?locale=zh_TW(字串長度:48)'),(7093,'2025-08-20 20:17:45',20,'company---->台灣人工智慧學校(字串長度:24)---->Taiwan AI Academy(字串長度:17)```position---->執行長(字串長度:9)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\n\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1505)```website---->(字串長度:0)---->https://cclljj.github.io/(字串長度:25)'),(7094,'2025-08-20 20:17:45',81,'name2---->(字串長度:0)---->Wei-Chao Chen(字串長度:13)```anchor---->speaker-81(字串長度:10)---->wei-chao-chen(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:46)```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:660)'),(7095,'2025-08-20 20:17:46',35,'talk_title---->(字串長度:0)---->How to use AI for financial fraud prevention(字串長度:44)```can_playback---->(字串長度:0)---->V(字串長度:1)```company2---->(字串長度:0)---->E.SUN FHC(字串長度:9)```position2---->(字串長度:0)---->CTO(字串長度:3)```desc---->(字串長度:0)---->This speech will illustrate E.Sun Bank’s efforts in combating fraud. We will explain the cash flow patterns corresponding to fraud and explain how to use AI to analyze cash flows. The features used include cash flow features and graph features. We hope to use these features to stably find the accounts used by fraud groups and set controls in a timely manner to block fraudulent cash flows.\n\n本篇演講將說明玉山銀行在打擊詐騙方面的努力，我們將說明詐騙所對應的金流態樣，並說明如何使用AI來分析金流，其中所用到的特徵有金流特徵及圖形特徵，期望能夠以這些特徵來穩定地找到詐騙集團所用的帳戶，並能及時設控，以阻斷詐騙金流。(字串長度:727)```me_desc---->(字串長度:0)---->Dr. Jyh-Shing Roger Jang holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. He began his career as a software engineer at MathWorks in the United States before transitioning to academia as a professor at National Tsing Hua University’s Department of Computer Science. He also served as Director of the Information Office at NTU Hospital and was the founding Director of NTU’s FinTech Research Center.\nCurrently, Dr. Jang is the CTO of E.SUN FHC and an adjunct professor in the CSIE department at NTU. With extensive experience in academia and industry, he excels at bridging technology and finance, fostering collaboration, and facilitating the integration of new technologies into banking to drive internal technological innovation.\nDr. Jang’s research expertise encompasses machine learning applications in speech recognition and synthesis, music analysis and retrieval, document classification, as well as image recognition. He has authored nearly 200 academic papers and has led over 90 research initiatives and industry-academic collaborations. His 1993 paper on ANFIS has been cited over 10,000 times on Google Scholar.\n\n張智星科技長於加州大學柏克萊分校的電機電腦博士畢業後，先後於美國MathWorks公司任職、清大資訊系任教、台大醫院擔任資訊室主任，亦為台大金融科技研究中心的首任主任。\n目前擔任玉山金控科技長，同時兼任台大資工系教授，擅長於跨域跨界的合作，扮演科技人與金融人交流激盪的橋樑，並媒合學術界與產業界的資源，為銀行注入更多的科技元素，打造銀行裡的科技業。\n研究專長包含機器學習的應用，包含語音、音樂、文件、影像辨識等領域。累積發表近200篇學術論文，並完成90多項各種研究計畫及產學合作案。1993年的ANFIS論文在Google Scholar被引用次數超過一萬次。(字串長度:1953)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7096,'2025-08-20 20:17:46',97,'name2---->(字串長度:0)----> Wei-Cheng Lien(字串長度:15)```anchor---->speaker-97(字串長度:10)---->-wei-cheng-lien(字串長度:15)```talk_title2---->AI 智慧安防(字串長度:15)---->AI智慧安防 守護你我安全(字串長度:33)```can_playback---->(字串長度:0)---->X(字串長度:1)```company2---->(字串長度:0)---->海盛科技 Hyson Technology Inc.(字串長度:34)```position2---->(字串長度:0)---->執行長 CEO(字串長度:13)```desc---->(字串長度:0)---->透過海盛科技AI智慧安防解決方案，從執法、安防到鑑識與科技建警，全方位守護社會安全。(字串長度:122)```me_desc---->(字串長度:0)---->Wei-Cheng Lien received PhD degree from the Department of Electrical and\nEngineering, National Cheng Kung University, Taiwan in 2014. His research includes\nIC design/testing, AI, Image Processing, IoT design and Smart Aquaculture. He was a\nrecipient of 5 best papers awards and 4 best PhD thesis awards. Lien joined MediaTek\nas a senior engineer in the AI-computing division from 2014, and developed advance\nCPU on 6 successful mass production chips which applied on mobiles from 28- to 7-\nnm process. He founded the HysonTech in 2019 and leads Hyson team as CEO to win\n>30 product awards. Lien was also a recipient of Outstanding Young Alumni Award\nfrom National Cheng Kung University in Taiwan, Outstanding Social Youth Award\nfrom China Youth Corps, Outstanding Young Engineer Award from both Chinese\nInstitute of Engineers and The Chinese Institute of Electrical Engineering.(字串長度:878)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```company_for_agenda---->(字串長度:0)----> 海盛科技(字串長度:13)```position_for_agenda---->(字串長度:0)---->執行長(字串長度:9)```website---->(字串長度:0)---->https://sites.google.com/view/wei-cheng-lien/home(字串長度:49)'),(7097,'2025-08-20 21:12:25',4,'me_desc---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\r\n\r\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1507)---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\n\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1505)'),(7098,'2025-08-20 21:12:25',5,'talk_title---->Advancing Taiwan’s AI Competitiveness : \r\nStrengthening Core Competencies in the AI 2.0 Era to Build a Trusted Global Brand(字串長度:125)---->Advancing Taiwan’s AI Competitiveness : \nStrengthening Core Competencies in the AI 2.0 Era to Build a Trusted Global Brand(字串長度:124)```talk_title2---->台灣AI競爭力的戰略定位與實踐 : \r\n在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:109)---->台灣AI競爭力的戰略定位與實踐 : \n在AI 2.0時代鞏固基本功，建立可信任的國家品牌(字串長度:108)```me_desc---->https://drive.google.com/file/d/17P0ufmV98uu-3cr0B109OknXzIWRW3a_/view?usp=drive_link(字串長度:85)---->In 1989, Jonney Shih provided funding to four engineers to start ASUS\nwith the vision of building a company focused on the development of\nstate-of-the-art technology. Mr. Shih began his current role as the\nChairman in 1993, and until 2007 he also served as the Chief Executive\nOfficer.\nAs Chairman, Mr. Shih guides the company’s vision, corporate culture,\nand innovation strategies. Under his leadership, ASUS has become an internationally recognized technology\nleader that ranks No. 1 in worldwide sales of motherboards and No. 3 in consumer notebooks. For the last\nseveral years, Fortune magazine has named ASUS as one of the World’s Most Admired Companies. Since\n2013, ASUS has been ranked annually by Interbrand as the most valuable international brand from Taiwan.\nMr. Shih is well known for his passion and commitment to innovation, and his relentless pursuit of perfection\nhas helped to commercialize a generation of technology for consumers around the world. In 2006, he led\nthe development of the revolutionary ASUS Eee PC, a compact, cost-effective device that ignited the mobile\ncomputing era and marked the beginning of a new category of PCs that became known as netbooks.\nIn 2008, Mr. Shih guided the separation of the ASUS Original\nEquipment Manufacturing and Original Design Manufacturing\nbusinesses — a strategic decision that proved vital in developing\nglobal recognition for the ASUS brand. In 2014, he spearheaded the\ndevelopment of the first ZenFone — the flagship ASUS smartphone\nseries that combines refined aesthetics and functionality to deliver\nempowering luxury. Within just two years of the release of ZenFone,\nASUS became a trendsetting global smartphone brand.\nIn 2016, Mr. Shih introduced the first ASUS home robot, Zenbo,\nmarking an important milestone in his ambitious long-term vision of enabling robotic computing for every\nhousehold, while transforming ASUS into a technology leader for the next industry paradigm shift.\nIn 2019, Mr. Shih initiated a complete corporate transformation known as Wiser Together, encouraging\neveryone at ASUS to evolve and achieve a new level of idea meritocracy that enables the company to grow\nand prosper from an abundance of creative and meaningful inputs.\n\nASUS BRAND PROMISE\nIn Search of Incredible\nASUS is passionate about technology\nand driven by innovation. We dream,\nwe dare, and we strive to create the\nmost effortless and joyful digital life\nfor everyone. We aspire to deliver the\nincredible in everything we do.\n\nMr. Shih’s vision is for ASUS to become a leader in the new AI era, empowering people with technology\nthrough advancements in artificial intelligence, robotics, and cyber-physical systems. By pioneering these\ntransformative autonomous technologies, ASUS will help define the future and have a momentous impact\non every aspect of our lives.\nMr. Shih believes that people are the most important asset of any company, and he credits the success of\nASUS to its dedicated workforce and corporate culture. To inspire an ongoing commitment to innovation\nand quality, he has initiated the In Search of Incredible brand promise that defines ASUS culture by\nencouraging all employees to strive for excellence in everything that they do.(字串長度:3227)'),(7099,'2025-08-20 21:12:25',11,'me_desc---->Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\r\n\r\n現職\r\n\r\n台灣人工智慧學校校務長\r\n國科會 Taiwan AI 卓越中心策略委員\r\n中華民國人工智慧學會理事\r\n經歷\r\n\r\n台灣人工智慧學校營運長 / 代理執行長\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\r\n學歷\r\n\r\n國立清華大學工學博士候選人(字串長度:1260)---->Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\n\n現職\n\n台灣人工智慧學校校務長\n國科會 Taiwan AI 卓越中心策略委員\n中華民國人工智慧學會理事\n經歷\n\n台灣人工智慧學校營運長 / 代理執行長\nSAP 德商思愛普 大中華區資深副總經理\nOracle 美商甲骨文 應用軟體部副總經理\nTeradata 美商天睿資訊系統 資深協理\n學歷\n\n國立清華大學工學博士候選人(字串長度:1245)'),(7100,'2025-08-20 21:12:25',20,'me_desc---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\r\n\r\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1507)---->Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.\n\nBeyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.(字串長度:1505)'),(7101,'2025-08-20 21:12:25',35,'desc---->This speech will illustrate E.Sun Bank’s efforts in combating fraud. We will explain the cash flow patterns corresponding to fraud and explain how to use AI to analyze cash flows. The features used include cash flow features and graph features. We hope to use these features to stably find the accounts used by fraud groups and set controls in a timely manner to block fraudulent cash flows.\r\n\r\n本篇演講將說明玉山銀行在打擊詐騙方面的努力，我們將說明詐騙所對應的金流態樣，並說明如何使用AI來分析金流，其中所用到的特徵有金流特徵及圖形特徵，期望能夠以這些特徵來穩定地找到詐騙集團所用的帳戶，並能及時設控，以阻斷詐騙金流。(字串長度:729)---->This speech will illustrate E.Sun Bank’s efforts in combating fraud. We will explain the cash flow patterns corresponding to fraud and explain how to use AI to analyze cash flows. The features used include cash flow features and graph features. We hope to use these features to stably find the accounts used by fraud groups and set controls in a timely manner to block fraudulent cash flows.\n\n本篇演講將說明玉山銀行在打擊詐騙方面的努力，我們將說明詐騙所對應的金流態樣，並說明如何使用AI來分析金流，其中所用到的特徵有金流特徵及圖形特徵，期望能夠以這些特徵來穩定地找到詐騙集團所用的帳戶，並能及時設控，以阻斷詐騙金流。(字串長度:727)```me_desc---->Dr. Jyh-Shing Roger Jang holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. He began his career as a software engineer at MathWorks in the United States before transitioning to academia as a professor at National Tsing Hua University’s Department of Computer Science. He also served as Director of the Information Office at NTU Hospital and was the founding Director of NTU’s FinTech Research Center.\r\nCurrently, Dr. Jang is the CTO of E.SUN FHC and an adjunct professor in the CSIE department at NTU. With extensive experience in academia and industry, he excels at bridging technology and finance, fostering collaboration, and facilitating the integration of new technologies into banking to drive internal technological innovation.\r\nDr. Jang’s research expertise encompasses machine learning applications in speech recognition and synthesis, music analysis and retrieval, document classification, as well as image recognition. He has authored nearly 200 academic papers and has led over 90 research initiatives and industry-academic collaborations. His 1993 paper on ANFIS has been cited over 10,000 times on Google Scholar.\r\n\r\n張智星科技長於加州大學柏克萊分校的電機電腦博士畢業後，先後於美國MathWorks公司任職、清大資訊系任教、台大醫院擔任資訊室主任，亦為台大金融科技研究中心的首任主任。\r\n目前擔任玉山金控科技長，同時兼任台大資工系教授，擅長於跨域跨界的合作，扮演科技人與金融人交流激盪的橋樑，並媒合學術界與產業界的資源，為銀行注入更多的科技元素，打造銀行裡的科技業。\r\n研究專長包含機器學習的應用，包含語音、音樂、文件、影像辨識等領域。累積發表近200篇學術論文，並完成90多項各種研究計畫及產學合作案。1993年的ANFIS論文在Google Scholar被引用次數超過一萬次。(字串長度:1959)---->Dr. Jyh-Shing Roger Jang holds a Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. He began his career as a software engineer at MathWorks in the United States before transitioning to academia as a professor at National Tsing Hua University’s Department of Computer Science. He also served as Director of the Information Office at NTU Hospital and was the founding Director of NTU’s FinTech Research Center.\nCurrently, Dr. Jang is the CTO of E.SUN FHC and an adjunct professor in the CSIE department at NTU. With extensive experience in academia and industry, he excels at bridging technology and finance, fostering collaboration, and facilitating the integration of new technologies into banking to drive internal technological innovation.\nDr. Jang’s research expertise encompasses machine learning applications in speech recognition and synthesis, music analysis and retrieval, document classification, as well as image recognition. He has authored nearly 200 academic papers and has led over 90 research initiatives and industry-academic collaborations. His 1993 paper on ANFIS has been cited over 10,000 times on Google Scholar.\n\n張智星科技長於加州大學柏克萊分校的電機電腦博士畢業後，先後於美國MathWorks公司任職、清大資訊系任教、台大醫院擔任資訊室主任，亦為台大金融科技研究中心的首任主任。\n目前擔任玉山金控科技長，同時兼任台大資工系教授，擅長於跨域跨界的合作，扮演科技人與金融人交流激盪的橋樑，並媒合學術界與產業界的資源，為銀行注入更多的科技元素，打造銀行裡的科技業。\n研究專長包含機器學習的應用，包含語音、音樂、文件、影像辨識等領域。累積發表近200篇學術論文，並完成90多項各種研究計畫及產學合作案。1993年的ANFIS論文在Google Scholar被引用次數超過一萬次。(字串長度:1953)'),(7102,'2025-08-20 21:12:26',49,'talk_title---->Explore the Cutting-Edge Tech \r\nBehind the AI+AR Glasses\r\n(字串長度:58)---->Explore the Cutting-Edge Tech \nBehind the AI+AR Glasses\n(字串長度:56)```desc---->After Mobile,what is next ?\r\nXR Devices Categories and mainstream\r\nreveal detail about Core Technologies of AR smart glasses \r\nHow AI-Powered AR Glasses spatial computing \r\ncan transform the way you work, connect, and experience the world!\r\nWhy AI needs AR Glasses：Not PC and Mobile\r\n AI make AR better、fast and powerful,AI need AR even more。AR give AI own Human sensor to access the realworld,no AI without AR\r\n(字串長度:418)---->After Mobile,what is next ?\nXR Devices Categories and mainstream\nreveal detail about Core Technologies of AR smart glasses \nHow AI-Powered AR Glasses spatial computing \ncan transform the way you work, connect, and experience the world!\nWhy AI needs AR Glasses：Not PC and Mobile\n AI make AR better、fast and powerful,AI need AR even more。AR give AI own Human sensor to access the realworld,no AI without AR\n(字串長度:411)```me_desc---->Founder/Chairman of Jorjin Technologies Inc 1997~now\r\nFounder/Chairman of AMPAK 2000~2007\r\n\r\nFounder/Chairman of TSGIA 2018 / Taiwan XR Smart Industry Association 2023~now\r\n\r\nTaiwan Innovative Software and Services Association:\r\nAdvanced Communication and XR Smart Industry Development Committee 2023~now\r\nPresident\r\n\r\nVice Chairman of 3DIDA 3D Interaction & Display Association 2023~now \r\n(字串長度:390)---->Founder/Chairman of Jorjin Technologies Inc 1997~now\nFounder/Chairman of AMPAK 2000~2007\n\nFounder/Chairman of TSGIA 2018 / Taiwan XR Smart Industry Association 2023~now\n\nTaiwan Innovative Software and Services Association:\nAdvanced Communication and XR Smart Industry Development Committee 2023~now\nPresident\n\nVice Chairman of 3DIDA 3D Interaction & Display Association 2023~now \n(字串長度:380)'),(7103,'2025-08-20 21:12:26',93,'desc---->Large Language Model (LLM) inference efficiency directly shapes both user experience and deployment costs.\r\nIn this lightning talk, we’ll show how vLLM boosts inference throughput through optimized KV cache management and parallelization, and compare it against Ollama, a popular local inference tool.\r\nWe’ll walk through a practical, reproducible benchmark that delivers actionable performance insights.\r\nBy the end, attendees will have a ready-to-use testing workflow and a clear framework for choosing the right serving stack for their needs.(字串長度:549)---->Large Language Model (LLM) inference efficiency directly shapes both user experience and deployment costs.\nIn this lightning talk, we’ll show how vLLM boosts inference throughput through optimized KV cache management and parallelization, and compare it against Ollama, a popular local inference tool.\nWe’ll walk through a practical, reproducible benchmark that delivers actionable performance insights.\nBy the end, attendees will have a ready-to-use testing workflow and a clear framework for choosing the right serving stack for their needs.(字串長度:546)```me_desc---->CTO of C.Y. Intelligence — leading AI infrastructure and deployment strategy\r\n\r\nAuthor of 《圖像生成式AI的生存指南—以Stable Diffusion為例》, sharing practical insights on generative AI image workflows\r\n\r\nSpecialist in infrastructure & container orchestration — experienced with Docker, Kubernetes, Rancher, and cloud-native environments\r\n\r\nDeveloper of AI-enabled platforms — integrated tools like Stable Diffusion, Whisper, and RAG systems into production environments\r\n\r\nBackground in Mathematics — strong foundation in analysis and mechanics, enabling deep technical understanding of AI architectures\r\n\r\nHands-on with performance benchmarking — from AI model serving optimization to large-scale GPU workload management\r\n\r\nPublic speaker on generative AI — shared expertise in open-source AI tools, attention mechanisms, and future AI hardware/software architecture trends(字串長度:903)---->CTO of C.Y. Intelligence — leading AI infrastructure and deployment strategy\n\nAuthor of 《圖像生成式AI的生存指南—以Stable Diffusion為例》, sharing practical insights on generative AI image workflows\n\nSpecialist in infrastructure & container orchestration — experienced with Docker, Kubernetes, Rancher, and cloud-native environments\n\nDeveloper of AI-enabled platforms — integrated tools like Stable Diffusion, Whisper, and RAG systems into production environments\n\nBackground in Mathematics — strong foundation in analysis and mechanics, enabling deep technical understanding of AI architectures\n\nHands-on with performance benchmarking — from AI model serving optimization to large-scale GPU workload management\n\nPublic speaker on generative AI — shared expertise in open-source AI tools, attention mechanisms, and future AI hardware/software architecture trends(字串長度:891)'),(7104,'2025-08-20 21:12:26',94,'name2---->Liang-Hsun Huang, (字串長度:18)---->Liang-Hsun Huang(字串長度:16)```anchor---->liang-hsun-huang-(字串長度:17)---->liang-hsun-huang(字串長度:16)'),(7105,'2025-08-20 21:14:32',97,'name2----> Wei-Cheng Lien(字串長度:15)---->Wei-Cheng Lien(字串長度:14)```anchor---->-wei-cheng-lien(字串長度:15)---->wei-cheng-lien(字串長度:14)'),(7106,'2025-08-20 21:27:28',27,'anchor---->tsì-uí-i̇k(字串長度:13)---->speaker-27(字串長度:10)'),(7107,'2025-08-21 16:55:41',14,'name2---->(字串長度:0)---->Max Lin(字串長度:7)```anchor---->speaker-14(字串長度:10)---->max-lin(字串長度:7)```talk_title2---->深耕生成式 AI，前瞻布局 Agentic AI 未來(字串長度:51)----> Agentic AI 驅動企業邁向 Scalable AI：落實策略、落地方法與關鍵挑戰(字串長度:87)```position---->資深執行副總經理(字串長度:24)---->Technology & Transformation Leader(字串長度:34)```desc---->(字串長度:0)---->將分享當前 Agentic AI 在全球的導入趨勢與現況分享，並探討其如何透過自主決策、動態任務分配與跨系統整合，協助企業快速擴展 AI 能力，並持續創造商業價值。\n本議程將以實務案例為基礎，說明 Agentic AI 如何在不同場景中推動 AI 服務的彈性擴展與資源最佳化。同時，將深入解析企業在發展 Scalable AI 過程中所面臨的核心挑戰，包括系統架構複雜化、數據治理與安全風險、模型性能與偏差管理，以及合規等要求。針對這些挑戰，將分享可行的治理策略與框架，協助企業在追求 AI 規模化的同時，確保部署的穩定性、安全性與長期可持續發展，最終實現技術創新與商業價值的雙重目標。(字串長度:779)```company_for_agenda---->Deloitte(字串長度:8)---->勤業眾信Deloitte(字串長度:20)```position_for_agenda---->資深執行副總經理(字串長度:24)---->科技與轉型服務 營運長(字串長度:31)'),(7108,'2025-08-21 16:55:41',15,'talk_title---->(字串長度:0)---->Embracing the Unknown: Crafting Trustworthy AI in the Generative Era(字串長度:68)```desc---->(字串長度:0)---->生成式 AI 的快速發展，正在帶來前所未有的安全挑戰。過去我們以為電影裡的 Skynet 情節遙不可及，但隨著技術能力不斷提升，風險正逐漸浮現。從 OWASP Top 10 for LLM 涵蓋的越獄攻擊、提示詞注入、系統提示洩露，到 數據投毒、RAG 與 MCP 系統整合問題，AI 安全議題愈加複雜。本演講將分享最新的威脅案例與防護策略，並介紹包括 Meta Llama Guard 在內的開源工具，探討如何打造更安全、值得信任的 AI。\n\nThe rapid rise of Generative AI is creating new security challenges we can no longer ignore. What once felt like a distant Skynet-style scenario is now closer to reality as the technology grows more powerful. From the OWASP Top 10 for LLM—including jailbreak attacks, prompt injection, and system prompt leakage—to data poisoning and security concerns in RAG and MCP architectures, AI security has become increasingly complex. In this talk, we’ll examine emerging threats, share practical defense strategies, and introduce tools like Meta’s Llama Guard to explore how we can build safer and more trustworthy AI systems.(字串長度:1156)'),(7109,'2025-08-21 16:55:41',18,'lecture_type---->Keynote 3(字串長度:9)---->Keynote 2(字串長度:9)'),(7110,'2025-08-21 16:55:41',19,'lecture_type---->Keynote 4(字串長度:9)---->Keynote 3(字串長度:9)'),(7111,'2025-08-21 16:55:41',29,'me_desc---->(字串長度:0)---->\"Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\n\n現職\n\n台灣人工智慧學校校務長\n國科會 Taiwan AI 卓越中心策略委員\n中華民國人工智慧學會理事\n經歷\n\n台灣人工智慧學校營運長 / 代理執行長\nSAP 德商思愛普 大中華區資深副總經理\nOracle 美商甲骨文 應用軟體部副總經理\nTeradata 美商天睿資訊系統 資深協理\n學歷\n\n國立清華大學工學博士候選人\"(字串長度:1247)'),(7112,'2025-08-21 17:26:56',14,'desc---->將分享當前 Agentic AI 在全球的導入趨勢與現況分享，並探討其如何透過自主決策、動態任務分配與跨系統整合，協助企業快速擴展 AI 能力，並持續創造商業價值。\r\n本議程將以實務案例為基礎，說明 Agentic AI 如何在不同場景中推動 AI 服務的彈性擴展與資源最佳化。同時，將深入解析企業在發展 Scalable AI 過程中所面臨的核心挑戰，包括系統架構複雜化、數據治理與安全風險、模型性能與偏差管理，以及合規等要求。針對這些挑戰，將分享可行的治理策略與框架，協助企業在追求 AI 規模化的同時，確保部署的穩定性、安全性與長期可持續發展，最終實現技術創新與商業價值的雙重目標。(字串長度:780)---->將分享當前 Agentic AI 在全球的導入趨勢與現況分享，並探討其如何透過自主決策、動態任務分配與跨系統整合，協助企業快速擴展 AI 能力，並持續創造商業價值。\n本議程將以實務案例為基礎，說明 Agentic AI 如何在不同場景中推動 AI 服務的彈性擴展與資源最佳化。同時，將深入解析企業在發展 Scalable AI 過程中所面臨的核心挑戰，包括系統架構複雜化、數據治理與安全風險、模型性能與偏差管理，以及合規等要求。針對這些挑戰，將分享可行的治理策略與框架，協助企業在追求 AI 規模化的同時，確保部署的穩定性、安全性與長期可持續發展，最終實現技術創新與商業價值的雙重目標。(字串長度:779)'),(7113,'2025-08-21 17:26:56',15,'talk_title2---->與未知握手：在生成式浪潮時代打造\r\n值得信任的 AI(字串長度:68)---->與未知握手：在生成式浪潮時代打造\n值得信任的 AI(字串長度:67)```desc---->生成式 AI 的快速發展，正在帶來前所未有的安全挑戰。過去我們以為電影裡的 Skynet 情節遙不可及，但隨著技術能力不斷提升，風險正逐漸浮現。從 OWASP Top 10 for LLM 涵蓋的越獄攻擊、提示詞注入、系統提示洩露，到 數據投毒、RAG 與 MCP 系統整合問題，AI 安全議題愈加複雜。本演講將分享最新的威脅案例與防護策略，並介紹包括 Meta Llama Guard 在內的開源工具，探討如何打造更安全、值得信任的 AI。\r\n\r\nThe rapid rise of Generative AI is creating new security challenges we can no longer ignore. What once felt like a distant Skynet-style scenario is now closer to reality as the technology grows more powerful. From the OWASP Top 10 for LLM—including jailbreak attacks, prompt injection, and system prompt leakage—to data poisoning and security concerns in RAG and MCP architectures, AI security has become increasingly complex. In this talk, we’ll examine emerging threats, share practical defense strategies, and introduce tools like Meta’s Llama Guard to explore how we can build safer and more trustworthy AI systems.(字串長度:1158)---->生成式 AI 的快速發展，正在帶來前所未有的安全挑戰。過去我們以為電影裡的 Skynet 情節遙不可及，但隨著技術能力不斷提升，風險正逐漸浮現。從 OWASP Top 10 for LLM 涵蓋的越獄攻擊、提示詞注入、系統提示洩露，到 數據投毒、RAG 與 MCP 系統整合問題，AI 安全議題愈加複雜。本演講將分享最新的威脅案例與防護策略，並介紹包括 Meta Llama Guard 在內的開源工具，探討如何打造更安全、值得信任的 AI。\n\nThe rapid rise of Generative AI is creating new security challenges we can no longer ignore. What once felt like a distant Skynet-style scenario is now closer to reality as the technology grows more powerful. From the OWASP Top 10 for LLM—including jailbreak attacks, prompt injection, and system prompt leakage—to data poisoning and security concerns in RAG and MCP architectures, AI security has become increasingly complex. In this talk, we’ll examine emerging threats, share practical defense strategies, and introduce tools like Meta’s Llama Guard to explore how we can build safer and more trustworthy AI systems.(字串長度:1156)```me_desc---->龔化中先生畢業於台大電機系及台大資工所，是網路安全與行動通訊的專家。他曾在趨勢科技擔任台灣區研發協理，領導網路資安產品的開發。在轉向行動通訊領域後，他在仁寶電腦及啟碁科技設計開發出多款手機及通訊設備，這些產品廣受 Nokia 等國際大廠及 AT&T 等電信商的青睞。\r\n\r\n加入資安院之前，龔化中先生在網路儲存設備大廠 QNAP 擔任技術長與資安長，專注於改善網通及物聯網（IoT）設備的資安設計。\"(字串長度:546)---->龔化中先生畢業於台大電機系及台大資工所，是網路安全與行動通訊的專家。他曾在趨勢科技擔任台灣區研發協理，領導網路資安產品的開發。在轉向行動通訊領域後，他在仁寶電腦及啟碁科技設計開發出多款手機及通訊設備，這些產品廣受 Nokia 等國際大廠及 AT&T 等電信商的青睞。\n\n加入資安院之前，龔化中先生在網路儲存設備大廠 QNAP 擔任技術長與資安長，專注於改善網通及物聯網（IoT）設備的資安設計。\"(字串長度:544)'),(7114,'2025-08-21 17:26:56',29,'me_desc---->\"Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\r\n\r\n現職\r\n\r\n台灣人工智慧學校校務長\r\n國科會 Taiwan AI 卓越中心策略委員\r\n中華民國人工智慧學會理事\r\n經歷\r\n\r\n台灣人工智慧學校營運長 / 代理執行長\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\r\n學歷\r\n\r\n國立清華大學工學博士候選人\"(字串長度:1262)---->\"Richie Tsai is the Provost of the Taiwan AI Academy, Taiwan\'s leading institution in AI education. He oversees the Academy\'s operations, consulting services, and research development, transforming it into a dynamic platform for collaboration across AI disciplines and sectors. Taiwan AI Academy educates over 11,000 AI talents from 2,200 organizations in 15 industries. Before joining Taiwan AI Academy, Tsai served as Senior Director for SAP Greater China, overseeing market strategy, technical services, and business operations. His previous roles include senior roles at Oracle and at Teradata. With over 25 years of experience in emerging information technology fields such as artificial intelligence, data science, cloud services, and digital transformation, Richie is an AI evangelist with deep expertise in information technology and ecosystem development.\n\n現職\n\n台灣人工智慧學校校務長\n國科會 Taiwan AI 卓越中心策略委員\n中華民國人工智慧學會理事\n經歷\n\n台灣人工智慧學校營運長 / 代理執行長\nSAP 德商思愛普 大中華區資深副總經理\nOracle 美商甲骨文 應用軟體部副總經理\nTeradata 美商天睿資訊系統 資深協理\n學歷\n\n國立清華大學工學博士候選人\"(字串長度:1247)'),(7115,'2025-08-21 17:26:57',69,'talk_title2---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)```position---->(字串長度:0)---->公共政策計劃總監(字串長度:24)```position_for_agenda---->(字串長度:0)---->公共政策計劃總監(字串長度:24)```lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)---->(字串長度:0)'),(7116,'2025-08-21 17:26:57',70,'talk_title2---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)```lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)---->(字串長度:0)'),(7117,'2025-08-21 17:26:57',68,'talk_title2---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)```company---->AIA(字串長度:3)---->台灣人工智慧學校(字串長度:24)```company_for_agenda---->AIA(字串長度:3)---->台灣人工智慧學校(字串長度:24)```lecture_type---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)---->(字串長度:0)'),(7118,'2025-08-21 17:26:57',63,'talk_title2---->NGO 用 AI(字串長度:10)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)```company---->AIA(字串長度:3)---->台灣人工智慧學校(字串長度:24)```company_for_agenda---->AIA(字串長度:3)---->台灣人工智慧學校(字串長度:24)```conf---->AI(字串長度:2)---->PANEL(字串長度:5)'),(7119,'2025-08-21 17:26:57',64,'talk_title2---->NGO 用 AI(字串長度:10)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)```conf---->AI(字串長度:2)---->PANEL(字串長度:5)'),(7120,'2025-08-22 20:41:51',12,'desc---->In a time when AI technology is rapidly evolving, businesses must find new ways\nto stay competitive in a challenging market. This means not only strengthening\ntheir “external skills”—such as building and integrating AI-powered services\nand modernizing advanced data centers—but also developing their “inner\nstrength”—by improving digital resilience through full visibility and driving\nsmart operations with AI-powered organizational change.\n\nTitled “AI Inner Power × Digital Duel”, this talk uses the world of martial arts as\na metaphor, inviting business leaders from all industries to rethink how they\nadopt AI, upgrade digital capabilities, and build stronger, more resilient systems.\nThe goal is to ensure AI applications remain steady and reliable in fast-changing\nenvironments. We will dive into practical strategies for AI-driven digital\ntransformation, helping enterprises build a well-balanced, competitive edge—\nready to face the digital future with both strength and flexibility.(字串長度:1011)---->In a time when AI technology is rapidly evolving, businesses must find new ways\nto stay competitive in a challenging market. This means not only strengthening\ntheir “external skills”—such as building and integrating AI-powered services\nand modernizing advanced data centers—but also developing their “inner\nstrength”—by improving digital resilience through full visibility and driving\nsmart operations with AI-powered organizational change.\n\nTitled “AI Inner Power × Digital Duel”, this talk uses the world of martial arts as\na metaphor, inviting business leaders from all industries to rethink how they\nadopt AI, upgrade digital capabilities, and build stronger, more resilient systems.\nThe goal is to ensure AI applications remain steady and reliable in fast-changing\nenvironments. We will dive into practical strategies for AI-driven digital\ntransformation, helping enterprises build a well-balanced, competitive edge—\nready to face the digital future with both strength and flexibility.\n在 AI 科技日新月異的時代,企業要在激烈的市場競爭中脫穎而出,不僅需精進「外\r\n功」——包括 AI 應用服務的建構與導入,以及先進資料中心的現代化轉型;更需修煉\r\n「內功」——透過全面可視性提升數位韌性,推動 AI 導向的智能維運與組織變革。\r\n\r\n本次演講以「AI 易筋經 × 華山論劍」為題,運用武俠意象,邀請各行各業的企業領袖\r\n共思如何整合 AI 技術、優化數位體質,強化整體韌性,以確保 AI 應用在動態環境下持\r\n續穩健運行。我們將深入探討 AI 驅動的數位轉型策略,協助企業打造能攻能守、剛柔\r\n並濟的核心競爭力,共同邁向未來的 AI 數位新境界。\n(字串長度:1742)```me_desc---->現任台灣思科金融暨工商事業群總經理,擁有超過 18 年跨國企業的深厚經歷,曾任職\n於 IBM、F5 及 Akamai 等知名外商公司,具備豐富的 IT/OT 產業背景。歷年來帶領\n業務、產品開發、渠道經銷管理與技術支援團隊,專責推動跨產業、跨領域的 Digital\nTransformation 整合解決方案,協助企業客戶全面導入數位應用與建置 IT 基礎架構。\n近年來更積極布局次世代的混合式、智慧化與自動化解決方案,涵蓋 AI Ready 資料中\n心、資安管理、混合雲架構設計、應用系統可視性規劃以及 AIoT(人工智慧物聯網)\n等領域,具備深厚的實務操作與策略規劃經驗。\nCurrently serving as the Regional Sales Leader of the Enterprise and Financial Services\r\nGroup at Cisco Taiwan and Jason have over 18 years of experience working with\r\ninternational technology companies. Prior to Cisco, Jason held leadership roles at global\r\nfirms such as IBM, F5, and Akamai, building a strong background in the IT/OT industry.\r\nThroughout Jason’s career, he has led teams across sales, product development,\r\nchannel management and technical support, focusing on delivering integrated digital\r\ntransformation solutions across industries. Jason helps many enterprise clients adopt\r\ndigital applications and build robust IT infrastructure.\r\nIn recent years, Jason has actively focused on next-generation solutions that are hybrid,\r\nintelligent, and automated integration. His expertise covers areas such as AI-ready data\r\ncenters, cybersecurity management, hybrid cloud architecture design, application\r\nvisibility planning, and AIoT (Artificial Intelligence of Things). He brings both hands-on\r\nexperience and strategic insight into driving these innovations forward.(字串長度:1785)---->現任台灣思科金融暨工商事業群總經理,擁有超過 18 年跨國企業的深厚經歷,曾任職\n於 IBM、F5 及 Akamai 等知名外商公司,具備豐富的 IT/OT 產業背景。歷年來帶領\n業務、產品開發、渠道經銷管理與技術支援團隊,專責推動跨產業、跨領域的 Digital\nTransformation 整合解決方案,協助企業客戶全面導入數位應用與建置 IT 基礎架構。\n近年來更積極布局次世代的混合式、智慧化與自動化解決方案,涵蓋 AI Ready 資料中\n心、資安管理、混合雲架構設計、應用系統可視性規劃以及 AIoT(人工智慧物聯網)\n等領域,具備深厚的實務操作與策略規劃經驗。\nCurrently serving as the Regional Sales Leader of the Enterprise and Financial Services\nGroup at Cisco Taiwan and Jason have over 18 years of experience working with\ninternational technology companies. Prior to Cisco, Jason held leadership roles at global\nfirms such as IBM, F5, and Akamai, building a strong background in the IT/OT industry.\nThroughout Jason’s career, he has led teams across sales, product development,\nchannel management and technical support, focusing on delivering integrated digital\ntransformation solutions across industries. Jason helps many enterprise clients adopt\ndigital applications and build robust IT infrastructure.\nIn recent years, Jason has actively focused on next-generation solutions that are hybrid,\nintelligent, and automated integration. His expertise covers areas such as AI-ready data\ncenters, cybersecurity management, hybrid cloud architecture design, application\nvisibility planning, and AIoT (Artificial Intelligence of Things). He brings both hands-on\nexperience and strategic insight into driving these innovations forward.(字串長度:1773)```company_for_agenda---->(字串長度:0)---->台灣思科CISCO(字串長度:17)```position_for_agenda---->(字串長度:0)---->金融暨工商事業群 總經理(字串長度:34)'),(7121,'2025-08-22 20:41:51',13,'company_for_agenda---->(字串長度:0)---->Siemens Taiwan(字串長度:14)```position_for_agenda---->(字串長度:0)---->President and CEO(字串長度:17)'),(7122,'2025-08-22 20:41:52',38,'talk_title---->(字串長度:0)---->AI Agents and Digital Twins: Driving the Next Level of Autonomy in Manufacturing(字串長度:80)'),(7123,'2025-08-22 20:41:52',37,'talk_title---->(字串長度:0)---->Empower AI Factory with Digital Twins(字串長度:37)```talk_title2---->以數位孿生重新定義智慧製造(字串長度:39)---->以數位孿生賦能AI工廠(字串長度:29)```can_playback---->(字串長度:0)---->V(字串長度:1)```company2---->(字串長度:0)---->Delta Research Center (DRC)(字串長度:27)```position2---->(字串長度:0)---->Director of Lab for Digital Twin based Optimization(字串長度:51)```me_desc---->(字串長度:0)---->Director of Lab for Digital Twin based Optimization, Delta Research Center, Delta Electronics(字串長度:93)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->博士(字串長度:6)---->數位孿生實驗室主任(字串長度:27)'),(7124,'2025-08-22 20:41:52',48,'name2---->(字串長度:0)---->Happy Lee(字串長度:9)```anchor---->speaker-48(字串長度:10)---->happy-lee(字串長度:9)```talk_title---->(字串長度:0)---->AI in Retail: Three Development Directions(字串長度:42)```talk_title2---->Agentic AI 驅動零售新體驗(字串長度:32)---->AI Agent 於零售業的三個應用(字串長度:36)```can_playback---->(字串長度:0)---->V(字串長度:1)```position---->產品長(字串長度:9)---->CPO 產品長(字串長度:13)```desc---->(字串長度:0)---->AI in the retail industry is moving toward three directions: Hire more Agents, Build Agent Service, and Ready for Agent, with practical cases showing how brands are adopting these approaches.\nAI 在零售產業的發展可歸納為三個方向：招募更多智能代理、打造代理服務、以及為代理做好準備，並已有實際案例展現品牌的應用。(字串長度:369)```me_desc---->(字串長度:0)---->Chief Product Officer of 91APP, founder of “The Science of Retail,” and serial entrepreneur. He enjoys building things hands-on and often shares insightful perspectives on rapidly changing technologies.\n91APP 產品長，「零售的科學」站長，連續創業家，喜歡自己動手打造東西，對各種快速變化\n的科技，時常發表穿透本質的看法。\n(字串長度:377)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```position_for_agenda---->產品長(字串長度:9)---->CPO 產品長(字串長度:13)```website---->(字串長度:0)---->https://happylee.blog(字串長度:21)'),(7125,'2025-08-22 20:41:52',55,'can_playback---->V(字串長度:1)---->(字串長度:0)```talkfile_link---->X(字串長度:1)---->(字串長度:0)'),(7126,'2025-08-23 08:29:51',55,'me_desc---->Connyn Kang-Lin Chang is a seasoned AI professional, serving as Chief Strategy Officer and Executive Director of the Taiwan Artificial Intelligence Association (TAIA). She is currently pursuing her Ph.D. in Computer Science and Information Engineering at National Central University.\r\n\r\nShe holds an MSc in Finance from the ICMA Centre, Henley Business School, Uni. of Reading, U.K., and has completed the Executive, Tech, NLP, and LLM programs at the Taiwan AI Academy (AIA), with a focus on AI, FinTech, and advanced technology leadership. Connyn also contributes her expertise as a member of the Executive Yuan Open Data Advisory Committee and the Presidential Hackathon Expert Counseling Team.\r\n\r\nSince 2019, she has led AI Talk/AI Day, Taiwan’s largest recurring AI community event series, fostering cross-sector collaboration and knowledge sharing. As a recognized moderator and bilingual host, she has been featured at major industry gatherings including the AI Annual Conference (2020–present), the 2025 AI Forum, the AI Award Ceremony (2023–present), and international platforms such as the UK–Taiwan and USA–Taiwan AI+ Smart Manufacturing Conferences.(字串長度:1171)---->Connyn Kang-Lin Chang is a seasoned AI professional, serving as Chief Strategy Officer and Executive Director of the Taiwan Artificial Intelligence Association (TAIA). She is currently pursuing her Ph.D. in Computer Science and Information Engineering at National Central University.\n\nShe holds an MSc in Finance from the ICMA Centre, Henley Business School, Uni. of Reading, U.K., and has completed the Executive, Tech, NLP, and LLM programs at the Taiwan AI Academy (AIA), with a focus on AI, FinTech, and advanced technology leadership. Connyn also contributes her expertise as a member of the Executive Yuan Open Data Advisory Committee and the Presidential Hackathon Expert Counseling Team.\n\nSince 2019, she has led AI Talk/AI Day, Taiwan’s largest recurring AI community event series, fostering cross-sector collaboration and knowledge sharing. As a recognized moderator and bilingual host, she has been featured at major industry gatherings including the AI Annual Conference (2020–present), the 2025 AI Forum, the AI Award Ceremony (2023–present), and international platforms such as the UK–Taiwan and USA–Taiwan AI+ Smart Manufacturing Conferences.(字串長度:1167)'),(7127,'2025-08-23 08:29:51',94,'name2---->Liang-Hsun Huang(字串長度:16)---->(字串長度:0)```anchor---->liang-hsun-huang(字串長度:16)---->speaker-94(字串長度:10)```company2---->Twinkle AI(字串長度:10)---->(字串長度:0)```position2---->Founder(字串長度:7)---->(字串長度:0)'),(7128,'2025-08-23 08:29:51',99,'company2---->(字串長度:0)---->Twinkle AI(字串長度:10)```position2---->(字串長度:0)---->Founder(字串長度:7)'),(7129,'2025-08-23 09:08:02',9,'talk_title---->(字串長度:0)---->AI Policy, Taiwan Choice(字串長度:24)```talk_title2---->(字串長度:0)---->人工智慧政策，台灣的選擇(字串長度:36)'),(7130,'2025-08-23 09:08:02',80,'talk_title---->(字串長度:0)---->AI Policy, Taiwan Choice(字串長度:24)```talk_title2---->(字串長度:0)---->人工智慧政策，台灣的選擇(字串長度:36)'),(7131,'2025-08-23 09:09:08',69,'talk_title---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(7132,'2025-08-23 09:09:08',70,'talk_title---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(7133,'2025-08-23 09:09:08',68,'talk_title---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(7134,'2025-08-23 09:09:08',63,'talk_title---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(7135,'2025-08-23 09:09:08',64,'talk_title---->(字串長度:0)---->工作坊 - 好好用 AI - 教材首發會(字串長度:42)'),(7136,'2025-08-23 09:12:05',20,'talk_title---->(字串長度:0)---->AI-Powered UAVs in GPS-Denied Environments(字串長度:42)'),(7137,'2025-08-23 09:12:05',21,'talk_title---->(字串長度:0)---->AI Safety in Action: Managing Real-World Risks(字串長度:46)'),(7138,'2025-08-23 09:12:05',81,'talk_title---->(字串長度:0)---->AI Safety in Action: Managing Real-World Risks(字串長度:46)```lecture_type---->(字串長度:0)---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)'),(7139,'2025-08-23 09:12:05',22,'talk_title---->(字串長度:0)---->AI Safety in Action: Managing Real-World Risks(字串長度:46)```lecture_type---->主題論壇(字串長度:12)---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)'),(7140,'2025-08-23 09:13:55',20,'talk_title---->AI-Powered UAVs in GPS-Denied Environments(字串長度:42)---->AI Safety in Action: Managing Real-World Risks(字串長度:46)'),(7141,'2025-08-23 10:35:59',8,'conf---->PANEL(字串長度:5)---->HOST(字串長度:4)'),(7142,'2025-08-23 10:36:00',20,'conf---->PANEL(字串長度:5)---->HOST(字串長度:4)'),(7143,'2025-08-24 21:15:44',20,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(7144,'2025-08-24 21:15:45',81,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(7145,'2025-08-24 21:15:45',95,'me_desc---->(字串長度:0)---->DeepWave 迪威智能/ 董事長暨共同創辦人國立清華大學資工所博士，曾獲得多項國際音樂AI競賽優勝。本身為重度遊戲及音樂愛好者，在一路求學過程中試著把喜好跟程式與AI做結合，因此有了迪威智能。(字串長度:264)'),(7146,'2025-08-25 21:33:05',8,'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。\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」。\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:630)'),(7147,'2025-08-25 21:33:05',7,'me_desc---->(字串長度:0)---->現任行政院人事行政總處人事長。曾任行政院人事行政總處政務副人事長，財政部財政資訊中心主任，財政部財稅資料中心主任，財政部財稅資料中心副主任，行政院研考會資訊管理處副處，行政院研考會資訊管理處簡任高級分析師，考試院科長等職。畢業於國立中興大學統計學系和美國波士頓大學電子計算機應用學系(字串長度:423)'),(7148,'2025-08-25 21:33:05',80,'me_desc---->(字串長度:0)---->陳正然現職為中華民國無任所大使、數位經濟暨產業發展協會理事長。他的經歷包括無花果台灣文化資料中心創辦人、祕書長、蕃薯藤創辦人、執行長、財團法人資訊工業策進會董事、台灣有線視訊寬頻網路發展協進會理事、行政院國家資訊通信基本建設推動小組民間諮詢委員會委員、台灣電視公司董事、中華電視公司董事、台灣電視公司董事、青平台基金會董事長。(字串長度:489)'),(7149,'2025-08-25 21:33:05',81,'talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7150,'2025-08-25 21:33:05',25,'name2---->(字串長度:0)---->JyhHow Jason Huang(字串長度:18)```anchor---->speaker-25(字串長度:10)---->jyhhow-jason-huang(字串長度:18)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->台灣體育運動大學(字串長度:24)---->National Taiwan University of Sport(字串長度:35)```position---->教授(字串長度:6)---->Sport Information and Communication(字串長度:35)```me_desc---->(字串長度:0)---->Dr. Huang is currently a professor in the Sport Information and Communication department, National Taiwan University of Sport, Taiwan. His research interests include sport performance and analysis, biomedical informatics, and sensor networks.  He helped lots of baseball players to understand how to move more efficiently and got better, from professional to high school. When not doing research, he is a serious mountaineer.(字串長度:425)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->(字串長度:0)---->https://jyhhowhuang.net/JyhHow_Huang_Official_Site/Welcome.html(字串長度:63)'),(7151,'2025-08-26 23:12:44',29,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7152,'2025-08-27 21:04:24',9,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7153,'2025-08-27 21:04:24',20,'talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7154,'2025-08-27 21:04:24',24,'name2---->(字串長度:0)---->Leh Shyu(字串長度:8)```anchor---->speaker-24(字串長度:10)---->leh-shyu(字串長度:8)```can_playback---->(字串長度:0)---->X(字串長度:1)```company---->灼見運動數據(字串長度:18)---->StatsInsight(字串長度:12)```position---->創辦人(字串長度:9)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->StatsInsight is transforming Taiwanese baseball through advanced sports analytics, playing a key role in helping the Taiwanese National Team win its first Gold Medal at the 2024 Premier12 Tournament. We offer an all-in-one analytics solution, combining a game-scoring app with an optical tracking system to capture real-time in-game data. Our mission is to turn data into winning strategies for teams and deliver actionable insights to fans.\n灼見運動數據，致力於結合數據分析、電腦視覺及人工智慧技術，推動棒球數據分析、情蒐與選手評估的革新。我們希望能將科技帶進台灣的棒球場，協助球隊做出更精準的情蒐戰術決策及協助選手進步、提升競爭力。(字串長度:730)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```company_for_agenda---->灼見運動數據(字串長度:18)---->灼見運動數據有限公司(字串長度:30)```position_for_agenda---->創辦人(字串長度:9)---->共同創辦人(字串長度:15)'),(7155,'2025-08-27 21:04:24',27,'desc---->(字串長度:0)---->Since 2018, the research team from NYCU has been actively advancing badminton sports science under the Ministry of Science and Technology’s Precision Sports Science Program. Over the past seven years, the team’s research trajectory has evolved from tactical data collection and analysis of elite athletes to the development of generative AI technologies designed for broader social engagement in sports. This presentation introduces CoachAI, a pioneering system that enables shot-by-shot microscopic data labeling, facilitating fine-grained performance analysis and intelligent feedback. It also highlights the team’s recent progress in smart badminton technologies and their efforts to extend these innovations beyond professional sports. Central to this initiative is to develop a photographic 3D sensing platform for smart sports spaces, aimed at making data analysis accessible in everyday athletic environments. The overarching goal is to embed sports data science into daily life, transforming how individuals interact with and benefit from physical activity.(字串長度:1071)'),(7156,'2025-08-27 21:04:24',28,'talk_title---->(字串長度:0)---->AI Landing Applications and Practical AI Talents Cultivating Platform(字串長度:69)```desc---->(字串長度:0)---->This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.\n本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。\r\n\r\n此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。(字串長度:1840)```me_desc---->(字串長度:0)---->Name: Nen-Fu (Fred) Huang\r\n Education: Dr. Huang received the Ph.D. degree in computer science from National\r\nTsing Hua University (NTHU), Taiwan, in 1986.\r\n Experience: He is now (12/2024-) the President of Southern Tawan University of\r\nSciecne and Technology (STUST), Taiwan. Since 2008, he is a Distinguished\r\nProfessor of NTHU. He was the Dean of College of Electrical Engineering and\r\nComputer Science, NTHU, during 2016/8-2022/7. From 1997-2000, he was the\r\nChairman of Department of Computer Science, NTHU and From 2015-2016, he was\r\nthe director of Computer and Communication Research Center (CCRC) of NTHU.\r\nHe is the founder of Broadweb Corp., (www.broadweb.com) and from 2002 to 2006,\r\nhe served as the CEO/Chairman of Broadweb, which was acquired by TrendMicro,\r\nan international security company, in 2013. He is also the founder of ShareCourse, an\r\nAI-based digital learning platform (www.sharecourse.net), which provides digital\r\ncourses including IoT, AI, Big Data Analysis, FinTech, Robot related courses. Dr.\r\nHuang has published more than 250 journal and conference papers, including more\r\nthan 50 papers in IEEE INFOCOM/ICC/GLOBECOM flag-ship conferences. Dr.\r\nHuang also has granted/pending near 60 patents, including 18 US patents. He is a\r\nFellow of the BCS (British Computer Society) and a life senior member of the IEEE.\r\n Research Area: AIoT technologies and applications, AI Sustainable and Smart\r\nAgriculture, Agriculture Digital Twins, Blockchain based Food traceability, AI-based\r\ncrops grading/classification technologies, LPWAN (LoRaWAN/NB-IoT)\r\ntransmission technologies and applications, AI-based Data Analysis for Digital\r\nLearning, and network security.\r\n Honors & Awards: He received the Outstanding Teaching Award from the NTHU in\r\n1993, 1998, and 2008, the Outstanding University/Industrial Collaboration Award\r\n\r\nfrom Ministry of Education (MOE), Taiwan in 1998, and Outstanding IT people\r\nAward from ITmonth, ROC in 2002. He received the Technology Transfer Award\r\nfrom National Science Council (NSC) of Taiwan in 2004. He received the\r\nTechnology Creative Award from Computer and Communication Research Center\r\n(CCRC) from NTHU in 2005, and the Outstanding University/Idustrial Collaboration\r\nAward from NTHU in 2010. He received the MOOCs Benchmark Course Award\r\nfrom MOE in 2018, Prominent program Award of Teaching practice progam from\r\nMOE in 2019, Oustansing project execution Award from NSC in 2022, Outstanding\r\nSocial Pratice Teacher Award from NTHU in 2022, Outsdanding program Award of\r\nTeaching practice progam from MOE in 2023, USR (University Social Responsibility)\r\nrole model Award in 2023, IoT Creative Application Award from Pan Wen-Yuan\r\nFoundation in 2023, Outstanding University/Idustrial Reseach Award from NTHU in\r\n2023, Outstanding Eletrical Engineering Professor Award from Chinese Society for\r\nElectrical Engineering (CSEE) in 2023, and Kuo-Ting Li Special AI Contribution\r\nAward in 2025..\r\n\r\n AIoT Research Projects: Professor Huang has many successful experiences in AI\r\nSmart Agriculture. For the past ten years, Professor Huang has collaborated with\r\nmore 40 farms (including organic vegetable, Banana, Mango, Pineapple, Coffee, rice\r\npaddy fields, dragon fruits, flowers,...) in Taiwan to implement AI and IoT\r\ntechnologies into the farms. Also these AI smart farms are playing the experiencing\r\nfields for training AI talent. Professor Huang also developed many cloud based AI\r\nsmart agriculture platform and AI training platforms (AImaker) for training talents to\r\nbuild and evaluate their own AI models, including video/image recognition AI\r\nmodels (via AR Smart glasses) and Audio recognition models (via AI tap stick,\r\ninvented by Professor Huang).(字串長度:3739)'),(7157,'2025-08-27 21:04:25',95,'can_playback---->(字串長度:0)---->V(字串長度:1)```desc---->(字串長度:0)---->從音訊AI出發，我們透過各種應用場景使用音訊AI解決問題，藉此，我們探討AI到底能做什麼、不能做什麼，有甚麼挑戰。(字串長度:159)```me_desc---->DeepWave 迪威智能/ 董事長暨共同創辦人國立清華大學資工所博士，曾獲得多項國際音樂AI競賽優勝。本身為重度遊戲及音樂愛好者，在一路求學過程中試著把喜好跟程式與AI做結合，因此有了迪威智能。(字串長度:264)---->迪威智能股份有限公司 董事長(字串長度:40)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7158,'2025-08-27 21:04:25',99,'name---->Liang-Hsun Huang(字串長度:16)---->黃亮勳(字串長度:9)```name2---->(字串長度:0)---->Liang-Hsun Huang(字串長度:16)```anchor---->speaker-99(字串長度:10)---->liang-hsun-huang(字串長度:16)```can_playback---->(字串長度:0)---->V(字串長度:1)```desc---->(字串長度:0)---->這場演講將以簡明但深入的方式介紹 Group Relative Policy Optimization（GRPO） 的核心概念與應用。GRPO 是一種專為大型語言模型設計的強化學習方法，透過「群體相對優勢」比較取代傳統的 value network，顯著降低資源需求並提升訓練效率。我們將說明其基本原理、訓練流程與關鍵技巧，並分享在有限 GPU 環境下的實作經驗。(字串長度:418)```me_desc---->(字串長度:0)---->創辦 Twinkle AI，專注於開源繁體中文資料集與下一代繁中模型，為台灣 AI 生態奠定基礎並持續推進模型訓練技術。領導團隊打造台灣首個最小推理模型 Formosa-1 (F1)，並曾以一人團隊完成繁體中文語料蒐集與模型訓練，成功推出台灣首個 Llama 3.2 3B 最小推理模型。\n\n同時擔任 APMIC AI 工程總監，以大型語言模型訓練與在地化應用聞名，深耕金融、公共部門與教育等領域。\n\n在此之前，曾廣泛涉獵網路安全、滲透測試、深度學習與藥物研發，參與 2019 年科技部藥物生成模型研究專案，並於 2020 工業局 AI Hackathon 獲得第四名。是台灣第 36 位 Google TensorFlow Developer Certificate 持有者，並擁有 EC-Council Licensed Penetration Tester (Master) 專業認證。(字串長度:832)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```company_for_agenda---->(字串長度:0)---->Twinkle AI(字串長度:10)```position_for_agenda---->(字串長度:0)---->創辦人(字串長度:9)```website---->(字串長度:0)---->https://www.linkedin.com/in/lianghsunhuang/(字串長度:43)'),(7159,'2025-08-28 17:14:26',24,'me_desc----><p>StatsInsight is transforming Taiwanese baseball through advanced sports analytics, playing a key role in helping the Taiwanese National Team win its first Gold Medal at the 2024 Premier12 Tournament. We offer an all-in-one analytics solution, combining a game-scoring app with an optical tracking system to capture real-time in-game data. Our mission is to turn data into winning strategies for teams and deliver actionable insights to fans.</p>\r\n<p>灼見運動數據，致力於結合數據分析、電腦視覺及人工智慧技術，推動棒球數據分析、情蒐與選手評估的革新。我們希望能將科技帶進台灣的棒球場，協助球隊做出更精準的情蒐戰術決策及協助選手進步、提升競爭力。</p>(字串長度:745)---->StatsInsight is transforming Taiwanese baseball through advanced sports analytics, playing a key role in helping the Taiwanese National Team win its first Gold Medal at the 2024 Premier12 Tournament. We offer an all-in-one analytics solution, combining a game-scoring app with an optical tracking system to capture real-time in-game data. Our mission is to turn data into winning strategies for teams and deliver actionable insights to fans.\n灼見運動數據，致力於結合數據分析、電腦視覺及人工智慧技術，推動棒球數據分析、情蒐與選手評估的革新。我們希望能將科技帶進台灣的棒球場，協助球隊做出更精準的情蒐戰術決策及協助選手進步、提升競爭力。(字串長度:730)'),(7160,'2025-08-28 17:14:26',27,'me_desc---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \r\nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \r\nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1526)---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1524)'),(7161,'2025-08-28 17:14:26',28,'desc---->This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.\r\n本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。\r\n\r\n此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。(字串長度:1841)---->This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.\n本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。\r\n\r\n此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。(字串長度:1840)'),(7162,'2025-08-28 17:14:26',39,'name2---->Jackson Chen(字串長度:12)---->CHEN CHIH CHIEH ( Jackson )(字串長度:27)```anchor---->jackson-chen(字串長度:12)---->chen-chih-chieh--jackson-(字串長度:25)```company---->KENMEC MECHANICAL ENGINEERING CO.,LTD.廣運(字串長度:44)---->Kenmec (字串長度:7)```position---->Sales Department 2 Sales Director 總監(字串長度:40)---->Sales Department II Sales Director(字串長度:34)'),(7163,'2025-08-28 17:14:26',45,'can_playback---->(字串長度:0)---->V(字串長度:1)```company---->池安量子資安(字串長度:18)---->Chelpis Quantum Corporation(字串長度:27)```company2---->台灣無人機產業技術整合協會(字串長度:39)---->池安量子資安(字串長度:18)```position2---->(字串長度:0)---->President & CEO(字串長度:15)```me_desc---->(字串長度:0)---->姓名：池明洋 \n學歷：國立臺灣大學電機所畢\n現職：\n●	池安量子資安  創辦人既董事長\n●	恆智資安 董事長\n●	臺灣量子安全產業協會 秘書長\n●	臺灣無人機產業技術整合協會 理事\n主導多項計畫：\n●	建置無人機去紅供應鏈\n●	推動無人載具開放標準平台\n●	跨產業量子安全遷移（Quantum Safe Migration）\n●	成立 RISC-V Taiwan Security SIG\n●	開發機器人 AI 邊緣運算 SoC 系統\n帶領池安量子積極參與全球資安標準制定與落地應用，包括：\n●	美國 MITRE PQC Coalition\n●	NIST 後量子加密（PQC）標準制定\n●	Linux Foundation PQC Alliance 推動 PQC Open Source \n介紹：\n天使投資人，長期深耕量子計算與加密系統領域，擁有豐富的國際合作與產業生態系推動經驗。\n創立臺灣量子安全產業協會、量子安全遷移中心及台灣無人機產業技術整合協會\n透過量子安全遷移中心，他已協助多國產業升級至量子安全架構，提供面對\n量子計算威脅的高效解決方案，確保資訊機密性與完整性。\n同時串聯半導體、晶片、醫療、AI基礎建設等生態系統，跨業打造國家安全戰略所需的相關技術，使 Chelpis 生態系成為美國及多國值得信賴的戰略合作夥伴。\n\nName: Ming-Yang Chih\nEducation: Master’s Degree in Electrical Engineering, National Taiwan University\nCurrent Positions:\n•	Founder & Chairman, Chelpis Quantum Corp.\n•	Chairman, DoQubiz Technology Co.\n•	Secretary General, Taiwan Quantum Security Association\n•	Director, Drone-Tech. Integration Consortium, Taiwan（D.T.I.I.C.T）\nMajor Projects Led:\n•	Establishment of a Resilient, Non-Red Drone Supply Chain\n•	Promotion of Open-Source Platforms for Unmanned Vehicles\n•	Cross-Industry Quantum Safe Migration (QSM) Initiatives\n•	Founding of RISC-V Taiwan Security SIG\n•	Development of AI Edge Computing SoC Systems for Robotics\nGlobal Standards & Industry Engagement:\nMing leads Chelpis in actively participating in the formulation and implementation of global cybersecurity standards, including:\n•	MITRE PQC Coalition (USA)\n•	NIST Post-Quantum Cryptography (PQC) Standardization\n•	Linux Foundation PQC Alliance, promoting PQC Open-Source adoption\nProfile:\nAn angel investor with expertise in quantum computing and cryptographic systems, Ming has extensive experience in international collaboration and driving industrial ecosystem development.\nHe founded the Taiwan Quantum Security Association, the Quantum Safe Migration Center, and the Drone Technology Integration & Cooperation in Taiwan Association.\nThrough the Quantum Safe Migration Center, he has assisted industries in multiple countries in upgrading to quantum-safe architectures, providing effective solutions to counter quantum computing threats and ensuring information confidentiality and integrity.\nHe also integrates ecosystems across semiconductors, chips, healthcare, and AI infrastructure, fostering cross-sector technologies essential for national security strategies — positioning the Chelpis ecosystem as a trusted strategic partner for the United States and other nations.(字串長度:3201)```talkfile_link---->(字串長度:0)---->V(字串長度:1)```website---->(字串長度:0)---->https://tw.linkedin.com/in/my-chih?trk=people-guest_people_search-card(字串長度:70)'),(7164,'2025-08-28 17:14:26',34,'desc---->(字串長度:0)---->在當今快速變化的商業環境中，企業面臨的挑戰不再是「是否導入 AI」，而是「如何讓 AI 真正創造價值」。本次分享將從 One Data、One Experience、An Agentic World 三大面向出發，帶領大家走進數位行銷科技演進的最前線，探索如何為行銷人打造 具備未來競爭力的 AI 解決方案，並透過 AI Agent 驅動更快、更聰明的決策與行動。\n\nIn today’s rapidly changing business environment, the challenge for enterprises is no longer whether to adopt AI, but how to unlock its real value. This session will take you to the forefront of digital marketing technology, exploring three key dimensions—One Data, One Experience, and An Agentic World. We will share how to build future-ready AI solutions for marketers, and how AI Agents can drive smarter decisions and faster actions.\n(字串長度:866)'),(7165,'2025-08-28 17:36:43',24,'me_desc---->StatsInsight is transforming Taiwanese baseball through advanced sports analytics, playing a key role in helping the Taiwanese National Team win its first Gold Medal at the 2024 Premier12 Tournament. We offer an all-in-one analytics solution, combining a game-scoring app with an optical tracking system to capture real-time in-game data. Our mission is to turn data into winning strategies for teams and deliver actionable insights to fans.\r\n灼見運動數據，致力於結合數據分析、電腦視覺及人工智慧技術，推動棒球數據分析、情蒐與選手評估的革新。我們希望能將科技帶進台灣的棒球場，協助球隊做出更精準的情蒐戰術決策及協助選手進步、提升競爭力。(字串長度:731)---->StatsInsight is transforming Taiwanese baseball through advanced sports analytics, playing a key role in helping the Taiwanese National Team win its first Gold Medal at the 2024 Premier12 Tournament. We offer an all-in-one analytics solution, combining a game-scoring app with an optical tracking system to capture real-time in-game data. Our mission is to turn data into winning strategies for teams and deliver actionable insights to fans.\n灼見運動數據，致力於結合數據分析、電腦視覺及人工智慧技術，推動棒球數據分析、情蒐與選手評估的革新。我們希望能將科技帶進台灣的棒球場，協助球隊做出更精準的情蒐戰術決策及協助選手進步、提升競爭力。(字串長度:730)'),(7166,'2025-08-28 17:36:43',27,'me_desc---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \r\nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \r\nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1526)---->Tsì-Uí İk received the B.S. degree in mathematics and the M.S. degree in computer science and information engineering from the National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively, and the Ph.D. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2005. \nDr. Tsì-Uí İk is currently a full professor of computer science at the National Yang Ming Chiao Tung University. He had been a senior research fellow in the Department of Computer Science, City University of Hong Kong. His research focuses on wireless ad hoc and sensor networks, vehicular ad hoc networks, intelligent transportation systems, and network coding. \nDr. İk was bestowed the Outstanding Young Engineer Award by the Chinese Institute of Engineers in 2009. He received the Young Scholar Best Paper Award from IEEE IT/COMSOC Taipei/Tainan Chapter in 2010. From 2018 to 2022, he was awarded a research grant under the Precision Sports Science Program by the Ministry of Science and Technology, Taiwan, focusing on the collection and analysis of tactical and technical data in badminton. In 2020, he was honored with the Grade A Sports Science Research and Development Award by Taiwan’s Sports Administration, Ministry of Education, in recognition of his outstanding contributions to sports science. He received the prestigious Future Tech Award in 2020, 2021, and 2023 from National Science and Technology Council, Taiwan, recognizing his continued contributions to technological innovation.(字串長度:1524)'),(7167,'2025-08-28 17:36:43',39,'name2---->CHEN CHIH CHIEH ( Jackson )(字串長度:27)---->CHEN CHIH CHIEH(Jackson)(字串長度:24)```anchor---->chen-chih-chieh--jackson-(字串長度:25)---->chen-chih-chiehjackson(字串長度:22)'),(7168,'2025-08-28 17:36:43',45,'me_desc---->姓名：池明洋 \r\n學歷：國立臺灣大學電機所畢\r\n現職：\r\n●	池安量子資安  創辦人既董事長\r\n●	恆智資安 董事長\r\n●	臺灣量子安全產業協會 秘書長\r\n●	臺灣無人機產業技術整合協會 理事\r\n主導多項計畫：\r\n●	建置無人機去紅供應鏈\r\n●	推動無人載具開放標準平台\r\n●	跨產業量子安全遷移（Quantum Safe Migration）\r\n●	成立 RISC-V Taiwan Security SIG\r\n●	開發機器人 AI 邊緣運算 SoC 系統\r\n帶領池安量子積極參與全球資安標準制定與落地應用，包括：\r\n●	美國 MITRE PQC Coalition\r\n●	NIST 後量子加密（PQC）標準制定\r\n●	Linux Foundation PQC Alliance 推動 PQC Open Source \r\n介紹：\r\n天使投資人，長期深耕量子計算與加密系統領域，擁有豐富的國際合作與產業生態系推動經驗。\r\n創立臺灣量子安全產業協會、量子安全遷移中心及台灣無人機產業技術整合協會\r\n透過量子安全遷移中心，他已協助多國產業升級至量子安全架構，提供面對\r\n量子計算威脅的高效解決方案，確保資訊機密性與完整性。\r\n同時串聯半導體、晶片、醫療、AI基礎建設等生態系統，跨業打造國家安全戰略所需的相關技術，使 Chelpis 生態系成為美國及多國值得信賴的戰略合作夥伴。\r\n\r\nName: Ming-Yang Chih\r\nEducation: Master’s Degree in Electrical Engineering, National Taiwan University\r\nCurrent Positions:\r\n•	Founder & Chairman, Chelpis Quantum Corp.\r\n•	Chairman, DoQubiz Technology Co.\r\n•	Secretary General, Taiwan Quantum Security Association\r\n•	Director, Drone-Tech. Integration Consortium, Taiwan（D.T.I.I.C.T）\r\nMajor Projects Led:\r\n•	Establishment of a Resilient, Non-Red Drone Supply Chain\r\n•	Promotion of Open-Source Platforms for Unmanned Vehicles\r\n•	Cross-Industry Quantum Safe Migration (QSM) Initiatives\r\n•	Founding of RISC-V Taiwan Security SIG\r\n•	Development of AI Edge Computing SoC Systems for Robotics\r\nGlobal Standards & Industry Engagement:\r\nMing leads Chelpis in actively participating in the formulation and implementation of global cybersecurity standards, including:\r\n•	MITRE PQC Coalition (USA)\r\n•	NIST Post-Quantum Cryptography (PQC) Standardization\r\n•	Linux Foundation PQC Alliance, promoting PQC Open-Source adoption\r\nProfile:\r\nAn angel investor with expertise in quantum computing and cryptographic systems, Ming has extensive experience in international collaboration and driving industrial ecosystem development.\r\nHe founded the Taiwan Quantum Security Association, the Quantum Safe Migration Center, and the Drone Technology Integration & Cooperation in Taiwan Association.\r\nThrough the Quantum Safe Migration Center, he has assisted industries in multiple countries in upgrading to quantum-safe architectures, providing effective solutions to counter quantum computing threats and ensuring information confidentiality and integrity.\r\nHe also integrates ecosystems across semiconductors, chips, healthcare, and AI infrastructure, fostering cross-sector technologies essential for national security strategies — positioning the Chelpis ecosystem as a trusted strategic partner for the United States and other nations.(字串長度:3247)---->姓名：池明洋 \n學歷：國立臺灣大學電機所畢\n現職：\n●	池安量子資安  創辦人既董事長\n●	恆智資安 董事長\n●	臺灣量子安全產業協會 秘書長\n●	臺灣無人機產業技術整合協會 理事\n主導多項計畫：\n●	建置無人機去紅供應鏈\n●	推動無人載具開放標準平台\n●	跨產業量子安全遷移（Quantum Safe Migration）\n●	成立 RISC-V Taiwan Security SIG\n●	開發機器人 AI 邊緣運算 SoC 系統\n帶領池安量子積極參與全球資安標準制定與落地應用，包括：\n●	美國 MITRE PQC Coalition\n●	NIST 後量子加密（PQC）標準制定\n●	Linux Foundation PQC Alliance 推動 PQC Open Source \n介紹：\n天使投資人，長期深耕量子計算與加密系統領域，擁有豐富的國際合作與產業生態系推動經驗。\n創立臺灣量子安全產業協會、量子安全遷移中心及台灣無人機產業技術整合協會\n透過量子安全遷移中心，他已協助多國產業升級至量子安全架構，提供面對\n量子計算威脅的高效解決方案，確保資訊機密性與完整性。\n同時串聯半導體、晶片、醫療、AI基礎建設等生態系統，跨業打造國家安全戰略所需的相關技術，使 Chelpis 生態系成為美國及多國值得信賴的戰略合作夥伴。\n\nName: Ming-Yang Chih\nEducation: Master’s Degree in Electrical Engineering, National Taiwan University\nCurrent Positions:\n•	Founder & Chairman, Chelpis Quantum Corp.\n•	Chairman, DoQubiz Technology Co.\n•	Secretary General, Taiwan Quantum Security Association\n•	Director, Drone-Tech. Integration Consortium, Taiwan（D.T.I.I.C.T）\nMajor Projects Led:\n•	Establishment of a Resilient, Non-Red Drone Supply Chain\n•	Promotion of Open-Source Platforms for Unmanned Vehicles\n•	Cross-Industry Quantum Safe Migration (QSM) Initiatives\n•	Founding of RISC-V Taiwan Security SIG\n•	Development of AI Edge Computing SoC Systems for Robotics\nGlobal Standards & Industry Engagement:\nMing leads Chelpis in actively participating in the formulation and implementation of global cybersecurity standards, including:\n•	MITRE PQC Coalition (USA)\n•	NIST Post-Quantum Cryptography (PQC) Standardization\n•	Linux Foundation PQC Alliance, promoting PQC Open-Source adoption\nProfile:\nAn angel investor with expertise in quantum computing and cryptographic systems, Ming has extensive experience in international collaboration and driving industrial ecosystem development.\nHe founded the Taiwan Quantum Security Association, the Quantum Safe Migration Center, and the Drone Technology Integration & Cooperation in Taiwan Association.\nThrough the Quantum Safe Migration Center, he has assisted industries in multiple countries in upgrading to quantum-safe architectures, providing effective solutions to counter quantum computing threats and ensuring information confidentiality and integrity.\nHe also integrates ecosystems across semiconductors, chips, healthcare, and AI infrastructure, fostering cross-sector technologies essential for national security strategies — positioning the Chelpis ecosystem as a trusted strategic partner for the United States and other nations.(字串長度:3201)'),(7169,'2025-08-28 17:36:43',34,'desc---->在當今快速變化的商業環境中，企業面臨的挑戰不再是「是否導入 AI」，而是「如何讓 AI 真正創造價值」。本次分享將從 One Data、One Experience、An Agentic World 三大面向出發，帶領大家走進數位行銷科技演進的最前線，探索如何為行銷人打造 具備未來競爭力的 AI 解決方案，並透過 AI Agent 驅動更快、更聰明的決策與行動。\r\n\r\nIn today’s rapidly changing business environment, the challenge for enterprises is no longer whether to adopt AI, but how to unlock its real value. This session will take you to the forefront of digital marketing technology, exploring three key dimensions—One Data, One Experience, and An Agentic World. We will share how to build future-ready AI solutions for marketers, and how AI Agents can drive smarter decisions and faster actions.\r\n(字串長度:869)---->在當今快速變化的商業環境中，企業面臨的挑戰不再是「是否導入 AI」，而是「如何讓 AI 真正創造價值」。本次分享將從 One Data、One Experience、An Agentic World 三大面向出發，帶領大家走進數位行銷科技演進的最前線，探索如何為行銷人打造 具備未來競爭力的 AI 解決方案，並透過 AI Agent 驅動更快、更聰明的決策與行動。\n\nIn today’s rapidly changing business environment, the challenge for enterprises is no longer whether to adopt AI, but how to unlock its real value. This session will take you to the forefront of digital marketing technology, exploring three key dimensions—One Data, One Experience, and An Agentic World. We will share how to build future-ready AI solutions for marketers, and how AI Agents can drive smarter decisions and faster actions.\n(字串長度:866)'),(7170,'2025-08-29 13:06:57',7,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(7171,'2025-08-29 13:06:57',16,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(7172,'2025-08-29 13:06:57',17,'can_playback---->(字串長度:0)---->X(字串長度:1)```company---->聖洋科技cacaFly(字串長度:19)---->cacaFly(字串長度:7)```position---->技術副總經理(字串長度:18)---->VP of Tech of cacaFly /Head of Cloud & AI Business Unit(字串長度:55)```me_desc---->CH is the VP of Technology at cacaFly Cloud Intelligence Center. He has previously developed apps that have garnered millions of downloads and reached top ranks on Google and Apple charts, as well as managing high-traffic network services with billions of data flow. He is also a speaker at TEDx and AWS SUMMIT, as well as a speaker at the Taiwan Artificial Intelligence Conference and an adjunct lecturer at National Taiwan University of Science and Technology.(字串長度:462)---->Chen-Ho Wu is the VP of Technology and Head of Cloud & AI at cacaFly, and is also a recipient of the Outstanding Teaching Award from the National Taiwan University of Science and Technology (NTUST).\n\nHe leads a team dedicated to advancing AI consulting services, cloud architecture, data platforms, and many diferent solutions. To date, he has successfully guided multiple enterprises through the implementation of AI and digital transformation projects. With a robust background in both entrepreneurship and large-scale project management, he has previously co-founded ventures that produced an application with over a million downloads and a data service capable of handling traffic in the tens of billions.\n\nIn recent years, Chen-Ho has focused on the practical application of Generative AI. Under his leadership, his team has consistently earned the international Google Cloud \"Partner All-Stars\" award, showcasing their proven success in translating technical expertise into tangible business value.\n\ncacaFly 技術副總 / Cloud & AI 事業負責人、台灣科技大學大優良教師。\n領導團隊推動 AI 顧問服務、雲端架構、數據平台與資安解決方案，至今已協助超過多間企業推動 AI 導入與數位升級專案。同時具備創業與大型專案的實務背景，曾連續創業開發出百萬下載量的 APP 與數百億流量等級的數據服務。近年更深耕生成式 AI 落地應用，帶領團隊持續榮獲 Google Cloud「Partner All-Stars」國際大獎，展現從技術到商業價值的實戰成果。(字串長度:1562)```talkfile_link---->(字串長度:0)---->X(字串長度:1)```website---->https://www.facebook.com/chengho.wu?locale=zh_TW(字串長度:48)---->https://wwww.facebook.com/chengho.wu?locale=zh_TW(字串長度:49)'),(7173,'2025-08-29 13:06:57',22,'can_playback---->(字串長度:0)---->V(字串長度:1)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7174,'2025-09-01 21:51:40',8,'talk_title2---->人工智慧政策，台灣的選擇(字串長度:36)---->主題論壇: 人工智慧政策，台灣的選擇(字串長度:50)```lecture_type---->AI Policy, Taiwan Choice(字串長度:24)---->(字串長度:0)'),(7175,'2025-09-01 21:51:40',7,'talk_title2---->人工智慧政策，台灣的選擇(字串長度:36)---->主題論壇: 人工智慧政策，台灣的選擇(字串長度:50)```lecture_type---->AI Policy, Taiwan Choice(字串長度:24)---->(字串長度:0)'),(7176,'2025-09-01 21:51:40',9,'talk_title2---->人工智慧政策，台灣的選擇(字串長度:36)---->主題論壇: 人工智慧政策，台灣的選擇(字串長度:50)```lecture_type---->主題論壇(字串長度:12)---->(字串長度:0)'),(7177,'2025-09-01 21:51:41',80,'talk_title2---->人工智慧政策，台灣的選擇(字串長度:36)---->主題論壇: 人工智慧政策，台灣的選擇(字串長度:50)'),(7178,'2025-09-01 21:51:41',17,'me_desc---->Chen-Ho Wu is the VP of Technology and Head of Cloud & AI at cacaFly, and is also a recipient of the Outstanding Teaching Award from the National Taiwan University of Science and Technology (NTUST).\r\n\r\nHe leads a team dedicated to advancing AI consulting services, cloud architecture, data platforms, and many diferent solutions. To date, he has successfully guided multiple enterprises through the implementation of AI and digital transformation projects. With a robust background in both entrepreneurship and large-scale project management, he has previously co-founded ventures that produced an application with over a million downloads and a data service capable of handling traffic in the tens of billions.\r\n\r\nIn recent years, Chen-Ho has focused on the practical application of Generative AI. Under his leadership, his team has consistently earned the international Google Cloud \"Partner All-Stars\" award, showcasing their proven success in translating technical expertise into tangible business value.\r\n\r\ncacaFly 技術副總 / Cloud & AI 事業負責人、台灣科技大學大優良教師。\r\n領導團隊推動 AI 顧問服務、雲端架構、數據平台與資安解決方案，至今已協助超過多間企業推動 AI 導入與數位升級專案。同時具備創業與大型專案的實務背景，曾連續創業開發出百萬下載量的 APP 與數百億流量等級的數據服務。近年更深耕生成式 AI 落地應用，帶領團隊持續榮獲 Google Cloud「Partner All-Stars」國際大獎，展現從技術到商業價值的實戰成果。(字串長度:1569)---->Chen-Ho Wu is the VP of Technology and Head of Cloud & AI at cacaFly, and is also a recipient of the Outstanding Teaching Award from the National Taiwan University of Science and Technology (NTUST).\n\nHe leads a team dedicated to advancing AI consulting services, cloud architecture, data platforms, and many diferent solutions. To date, he has successfully guided multiple enterprises through the implementation of AI and digital transformation projects. With a robust background in both entrepreneurship and large-scale project management, he has previously co-founded ventures that produced an application with over a million downloads and a data service capable of handling traffic in the tens of billions.\n\nIn recent years, Chen-Ho has focused on the practical application of Generative AI. Under his leadership, his team has consistently earned the international Google Cloud \"Partner All-Stars\" award, showcasing their proven success in translating technical expertise into tangible business value.\n\ncacaFly 技術副總 / Cloud & AI 事業負責人、台灣科技大學大優良教師。\n領導團隊推動 AI 顧問服務、雲端架構、數據平台與資安解決方案，至今已協助超過多間企業推動 AI 導入與數位升級專案。同時具備創業與大型專案的實務背景，曾連續創業開發出百萬下載量的 APP 與數百億流量等級的數據服務。近年更深耕生成式 AI 落地應用，帶領團隊持續榮獲 Google Cloud「Partner All-Stars」國際大獎，展現從技術到商業價值的實戰成果。(字串長度:1562)'),(7179,'2025-09-01 21:51:41',20,'talk_title2---->(字串長度:0)---->主題論壇: 人工智慧安全實踐: 管理現實世界的風險(字串長度:67)```lecture_type---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)---->(字串長度:0)'),(7180,'2025-09-01 21:51:41',21,'talk_title2---->(字串長度:0)---->主題論壇: 人工智慧安全實踐: 管理現實世界的風險(字串長度:67)```lecture_type---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)---->(字串長度:0)'),(7181,'2025-09-01 21:51:41',81,'talk_title2---->(字串長度:0)---->主題論壇: 人工智慧安全實踐: 管理現實世界的風險(字串長度:67)```lecture_type---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)---->(字串長度:0)'),(7182,'2025-09-01 21:51:41',22,'talk_title2---->(字串長度:0)---->主題論壇: 人工智慧安全實踐: 管理現實世界的風險(字串長度:67)```lecture_type---->主題論壇: AI Safety in Action: Managing Real-World Risks(字串長度:60)---->(字串長度:0)'),(7183,'2025-09-01 21:51:41',38,'name2---->(字串長度:0)---->Andrew Hsiao(字串長度:12)```anchor---->speaker-38(字串長度:10)---->andrew-hsiao(字串長度:12)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->和碩聯合科技(字串長度:18)---->Pegatron(字串長度:8)```position---->副總經理(字串長度:12)---->AI Development Division, Deputy General Manager(字串長度:47)```company2---->(字串長度:0)---->和碩聯合科技(字串長度:18)```position2---->(字串長度:0)---->副總經理(字串長度:12)```me_desc---->(字串長度:0)---->Andrew Hsiao graduated from the National Taiwan University EMBA program in Information Management and has over 25 years of experience in software development and R&D leadership. Throughout his career, he has focused on computer vision, embedded device BSP, big data and machine learning, deep learning, and artificial intelligence. Currently, he is dedicated to building AI and Digital Twins platforms tailored for the manufacturing industry, helping enterprises elevate their level of autonomy in operations.(字串長度:509)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7184,'2025-09-01 21:51:41',42,'name---->連震杰(字串長度:9)---->李志清(字串長度:9)```name2---->Jenn-Jier James Lien(字串長度:20)---->(字串長度:0)```anchor---->jenn-jier-james-lien(字串長度:20)---->speaker-42(字串長度:10)```talk_title---->(字串長度:0)---->AI-Driven Drones: From Inspection to Military Applications(字串長度:58)```talk_title2---->打造台灣AI 機器人新國力：從這裡開始(字串長度:51)---->AI 賦能無人機：從巡檢到軍事的跨界應用(字串長度:54)```company---->國立成功大學(字串長度:18)---->臺灣希望創新(字串長度:18)```position---->電機資訊學院副院長(字串長度:27)---->執行長(字串長度:9)```company2---->成大資工(字串長度:12)---->(字串長度:0)```company_for_agenda---->成大電機資訊學院(字串長度:24)---->臺灣希望創新(字串長度:18)```position_for_agenda---->副院長(字串長度:9)---->執行長(字串長度:9)'),(7185,'2025-09-01 21:51:41',34,'can_playback---->(字串長度:0)---->X(字串長度:1)```me_desc---->(字串長度:0)---->Gordon Chang is currently the Vice President of Product Management at Appier, where he leads the development and execution of product strategy for Appier\'s Personalization Cloud, which includes AIQUA, BotBonnie, and AiDeal solutions. He oversees the development and execution of innovative solutions focusing on large-scale data infrastructure and hyper-personalized campaign delivery.\n\nHe brings a strong track record of leading product teams and delivering impactful solutions across AI, MarTech, and enterprise platforms. He began his career at Microsoft in Seattle and later at Meta (formerly Facebook) in the San Francisco Bay Area, focusing on user growth. His journey has also included leadership roles at several SaaS startups, driving both scale and innovation.\n\nGordon holds an M.S. in Computer Science from the University of British Columbia and a B.S. in Computer Science and Information Engineering from National Taiwan University. Outside of work, he enjoys travelling, food adventures, city cycling, mentoring, and exploring new experiences.(字串長度:1056)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7186,'2025-09-01 21:51:42',95,'company_for_agenda---->(字串長度:0)---->迪威智能(字串長度:12)```position_for_agenda---->(字串長度:0)---->共同創辦人 (字串長度:16)'),(7187,'2025-09-01 22:05:22',18,'lecture_type---->Keynote 2(字串長度:9)---->Keynote 3(字串長度:9)'),(7188,'2025-09-01 22:05:22',19,'lecture_type---->Keynote 3(字串長度:9)---->Keynote 4(字串長度:9)'),(7189,'2025-09-01 22:05:22',34,'desc---->在當今快速變化的商業環境中，企業面臨的挑戰不再是「是否導入 AI」，而是「如何讓 AI 真正創造價值」。本次分享將從 One Data、One Experience、An Agentic World 三大面向出發，帶領大家走進數位行銷科技演進的最前線，探索如何為行銷人打造 具備未來競爭力的 AI 解決方案，並透過 AI Agent 驅動更快、更聰明的決策與行動。\r\n\r\nIn today’s rapidly changing business environment, the challenge for enterprises is no longer whether to adopt AI, but how to unlock its real value. This session will take you to the forefront of digital marketing technology, exploring three key dimensions—One Data, One Experience, and An Agentic World. We will share how to build future-ready AI solutions for marketers, and how AI Agents can drive smarter decisions and faster actions.\r\n(字串長度:869)---->在當今快速變化的商業環境中，企業面臨的挑戰不再是「是否導入 AI」，而是「如何讓 AI 真正創造價值」。本次分享將從 One Data、One Experience、An Agentic World 三大面向出發，帶領大家走進數位行銷科技演進的最前線，探索如何為行銷人打造 具備未來競爭力的 AI 解決方案，並透過 AI Agent 驅動更快、更聰明的決策與行動。\n\nIn today’s rapidly changing business environment, the challenge for enterprises is no longer whether to adopt AI, but how to unlock its real value. This session will take you to the forefront of digital marketing technology, exploring three key dimensions—One Data, One Experience, and An Agentic World. We will share how to build future-ready AI solutions for marketers, and how AI Agents can drive smarter decisions and faster actions.\n(字串長度:866)```me_desc---->Gordon Chang is currently the Vice President of Product Management at Appier, where he leads the development and execution of product strategy for Appier\'s Personalization Cloud, which includes AIQUA, BotBonnie, and AiDeal solutions. He oversees the development and execution of innovative solutions focusing on large-scale data infrastructure and hyper-personalized campaign delivery.\r\n\r\nHe brings a strong track record of leading product teams and delivering impactful solutions across AI, MarTech, and enterprise platforms. He began his career at Microsoft in Seattle and later at Meta (formerly Facebook) in the San Francisco Bay Area, focusing on user growth. His journey has also included leadership roles at several SaaS startups, driving both scale and innovation.\r\n\r\nGordon holds an M.S. in Computer Science from the University of British Columbia and a B.S. in Computer Science and Information Engineering from National Taiwan University. Outside of work, he enjoys travelling, food adventures, city cycling, mentoring, and exploring new experiences.(字串長度:1060)---->Gordon Chang is currently the Vice President of Product Management at Appier, where he leads the development and execution of product strategy for Appier\'s Personalization Cloud, which includes AIQUA, BotBonnie, and AiDeal solutions. He oversees the development and execution of innovative solutions focusing on large-scale data infrastructure and hyper-personalized campaign delivery.\n\nHe brings a strong track record of leading product teams and delivering impactful solutions across AI, MarTech, and enterprise platforms. He began his career at Microsoft in Seattle and later at Meta (formerly Facebook) in the San Francisco Bay Area, focusing on user growth. His journey has also included leadership roles at several SaaS startups, driving both scale and innovation.\n\nGordon holds an M.S. in Computer Science from the University of British Columbia and a B.S. in Computer Science and Information Engineering from National Taiwan University. Outside of work, he enjoys travelling, food adventures, city cycling, mentoring, and exploring new experiences.(字串長度:1056)'),(7190,'2025-09-02 11:37:23',5,'lecture_type---->Keynote 1(字串長度:9)---->KEYNOTE(字串長度:7)'),(7191,'2025-09-02 11:37:23',6,'position---->「負責任使用與開發 AI 素養推廣計劃」合作夥伴(字串長度:64)---->(字串長度:0)```lecture_type---->Keynote 2(字串長度:9)---->(字串長度:0)```conf---->AIK(字串長度:3)---->AI(字串長度:2)'),(7192,'2025-09-02 11:37:23',14,'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)'),(7193,'2025-09-02 11:37:23',18,'lecture_type---->Keynote 3(字串長度:9)---->KEYNOTE(字串長度:7)'),(7194,'2025-09-02 11:37:24',19,'lecture_type---->Keynote 4(字串長度:9)---->KEYNOTE(字串長度:7)'),(7195,'2025-09-02 11:41:30',46,'talk_title2---->賦能中小企業：普惠AI如何引爆台灣的商業創新(字串長度:62)---->賦能中小企業產業 AI 化如何引爆台灣的商業創新(字串長度:64)'),(7196,'2025-09-03 08:24:22',6,'talk_lang---->英文(字串長度:6)---->中文(字串長度:6)```can_playback---->(字串長度:0)---->V(字串長度:1)'),(7197,'2025-09-03 08:24:22',8,'talk_title---->AI Policy, Taiwan Choice(字串長度:24)---->AI Policy, Taiwan\'s Choices(字串長度:27)'),(7198,'2025-09-03 08:24:22',7,'talk_title---->AI Policy, Taiwan Choice(字串長度:24)---->AI Policy, Taiwan\'s Choices(字串長度:27)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7199,'2025-09-03 08:24:22',9,'talk_title---->AI Policy, Taiwan Choice(字串長度:24)---->AI Policy, Taiwan\'s Choices(字串長度:27)'),(7200,'2025-09-03 08:24:22',80,'talk_title---->AI Policy, Taiwan Choice(字串長度:24)---->AI Policy, Taiwan\'s Choices(字串長度:27)```can_playback---->(字串長度:0)---->V(字串長度:1)'),(7201,'2025-09-03 08:24:22',14,'talkfile_link---->X(字串長度:1)---->V(字串長度:1)'),(7202,'2025-09-03 08:24:23',52,'name2---->(字串長度:0)---->Ming-Wang Lin(字串長度:13)```anchor---->speaker-52(字串長度:10)---->ming-wang-lin(字串長度:13)```can_playback---->(字串長度:0)---->V(字串長度:1)```company2---->(字串長度:0)---->Tuntex Incorporation(字串長度:20)```position2---->(字串長度:0)---->Manager(字串長度:7)```me_desc---->(字串長度:0)---->He has been working to drive digital transformation in the textile industry, focusing on the integration of sovereign AI and the development of digital twin smart factories, moving the industry toward a smarter and more sustainable future.他一直努力推動紡織產業的數位轉型，專注於導入主權 AI，並發展數位孿生智慧工廠，帶領產業朝向更智慧、更永續的未來前進。(字串長度:410)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7203,'2025-09-03 13:09:35',6,'position---->(字串長度:0)---->   (字串長度:3)'),(7204,'2025-09-03 13:09:37',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)'),(7205,'2025-09-03 13:09:37',71,'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)'),(7206,'2025-09-03 13:09:37',72,'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)'),(7207,'2025-09-03 13:09:37',65,'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)'),(7208,'2025-09-03 13:09:37',66,'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)'),(7209,'2025-09-03 13:09:37',67,'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)'),(7210,'2025-09-03 13:09:37',69,'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)'),(7211,'2025-09-03 13:09:37',70,'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)'),(7212,'2025-09-03 13:09:37',68,'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)'),(7213,'2025-09-03 13:09:37',63,'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)'),(7214,'2025-09-03 13:09:37',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)'),(7215,'2025-09-03 13:10:39',6,'talk_lang---->中文(字串長度:6)---->英文(字串長度:6)'),(7216,'2025-09-03 21:32:33',28,'desc---->This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.\n本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。\r\n\r\n此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。(字串長度:1840)---->This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.\n本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。\n\n此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。(字串長度:1838)```me_desc---->Name: Nen-Fu (Fred) Huang\r\n Education: Dr. Huang received the Ph.D. degree in computer science from National\r\nTsing Hua University (NTHU), Taiwan, in 1986.\r\n Experience: He is now (12/2024-) the President of Southern Tawan University of\r\nSciecne and Technology (STUST), Taiwan. Since 2008, he is a Distinguished\r\nProfessor of NTHU. He was the Dean of College of Electrical Engineering and\r\nComputer Science, NTHU, during 2016/8-2022/7. From 1997-2000, he was the\r\nChairman of Department of Computer Science, NTHU and From 2015-2016, he was\r\nthe director of Computer and Communication Research Center (CCRC) of NTHU.\r\nHe is the founder of Broadweb Corp., (www.broadweb.com) and from 2002 to 2006,\r\nhe served as the CEO/Chairman of Broadweb, which was acquired by TrendMicro,\r\nan international security company, in 2013. He is also the founder of ShareCourse, an\r\nAI-based digital learning platform (www.sharecourse.net), which provides digital\r\ncourses including IoT, AI, Big Data Analysis, FinTech, Robot related courses. Dr.\r\nHuang has published more than 250 journal and conference papers, including more\r\nthan 50 papers in IEEE INFOCOM/ICC/GLOBECOM flag-ship conferences. Dr.\r\nHuang also has granted/pending near 60 patents, including 18 US patents. He is a\r\nFellow of the BCS (British Computer Society) and a life senior member of the IEEE.\r\n Research Area: AIoT technologies and applications, AI Sustainable and Smart\r\nAgriculture, Agriculture Digital Twins, Blockchain based Food traceability, AI-based\r\ncrops grading/classification technologies, LPWAN (LoRaWAN/NB-IoT)\r\ntransmission technologies and applications, AI-based Data Analysis for Digital\r\nLearning, and network security.\r\n Honors & Awards: He received the Outstanding Teaching Award from the NTHU in\r\n1993, 1998, and 2008, the Outstanding University/Industrial Collaboration Award\r\n\r\nfrom Ministry of Education (MOE), Taiwan in 1998, and Outstanding IT people\r\nAward from ITmonth, ROC in 2002. He received the Technology Transfer Award\r\nfrom National Science Council (NSC) of Taiwan in 2004. He received the\r\nTechnology Creative Award from Computer and Communication Research Center\r\n(CCRC) from NTHU in 2005, and the Outstanding University/Idustrial Collaboration\r\nAward from NTHU in 2010. He received the MOOCs Benchmark Course Award\r\nfrom MOE in 2018, Prominent program Award of Teaching practice progam from\r\nMOE in 2019, Oustansing project execution Award from NSC in 2022, Outstanding\r\nSocial Pratice Teacher Award from NTHU in 2022, Outsdanding program Award of\r\nTeaching practice progam from MOE in 2023, USR (University Social Responsibility)\r\nrole model Award in 2023, IoT Creative Application Award from Pan Wen-Yuan\r\nFoundation in 2023, Outstanding University/Idustrial Reseach Award from NTHU in\r\n2023, Outstanding Eletrical Engineering Professor Award from Chinese Society for\r\nElectrical Engineering (CSEE) in 2023, and Kuo-Ting Li Special AI Contribution\r\nAward in 2025..\r\n\r\n AIoT Research Projects: Professor Huang has many successful experiences in AI\r\nSmart Agriculture. For the past ten years, Professor Huang has collaborated with\r\nmore 40 farms (including organic vegetable, Banana, Mango, Pineapple, Coffee, rice\r\npaddy fields, dragon fruits, flowers,...) in Taiwan to implement AI and IoT\r\ntechnologies into the farms. Also these AI smart farms are playing the experiencing\r\nfields for training AI talent. Professor Huang also developed many cloud based AI\r\nsmart agriculture platform and AI training platforms (AImaker) for training talents to\r\nbuild and evaluate their own AI models, including video/image recognition AI\r\nmodels (via AR Smart glasses) and Audio recognition models (via AI tap stick,\r\ninvented by Professor Huang).(字串長度:3739)---->Name: Nen-Fu (Fred) Huang\n Education: Dr. Huang received the Ph.D. degree in computer science from National\nTsing Hua University (NTHU), Taiwan, in 1986.\n Experience: He is now (12/2024-) the President of Southern Tawan University of\nSciecne and Technology (STUST), Taiwan. Since 2008, he is a Distinguished\nProfessor of NTHU. He was the Dean of College of Electrical Engineering and\nComputer Science, NTHU, during 2016/8-2022/7. From 1997-2000, he was the\nChairman of Department of Computer Science, NTHU and From 2015-2016, he was\nthe director of Computer and Communication Research Center (CCRC) of NTHU.\nHe is the founder of Broadweb Corp., (www.broadweb.com) and from 2002 to 2006,\nhe served as the CEO/Chairman of Broadweb, which was acquired by TrendMicro,\nan international security company, in 2013. He is also the founder of ShareCourse, an\nAI-based digital learning platform (www.sharecourse.net), which provides digital\ncourses including IoT, AI, Big Data Analysis, FinTech, Robot related courses. Dr.\nHuang has published more than 250 journal and conference papers, including more\nthan 50 papers in IEEE INFOCOM/ICC/GLOBECOM flag-ship conferences. Dr.\nHuang also has granted/pending near 60 patents, including 18 US patents. He is a\nFellow of the BCS (British Computer Society) and a life senior member of the IEEE.\n Research Area: AIoT technologies and applications, AI Sustainable and Smart\nAgriculture, Agriculture Digital Twins, Blockchain based Food traceability, AI-based\ncrops grading/classification technologies, LPWAN (LoRaWAN/NB-IoT)\ntransmission technologies and applications, AI-based Data Analysis for Digital\nLearning, and network security.\n Honors & Awards: He received the Outstanding Teaching Award from the NTHU in\n1993, 1998, and 2008, the Outstanding University/Industrial Collaboration Award\n\nfrom Ministry of Education (MOE), Taiwan in 1998, and Outstanding IT people\nAward from ITmonth, ROC in 2002. He received the Technology Transfer Award\nfrom National Science Council (NSC) of Taiwan in 2004. He received the\nTechnology Creative Award from Computer and Communication Research Center\n(CCRC) from NTHU in 2005, and the Outstanding University/Idustrial Collaboration\nAward from NTHU in 2010. He received the MOOCs Benchmark Course Award\nfrom MOE in 2018, Prominent program Award of Teaching practice progam from\nMOE in 2019, Oustansing project execution Award from NSC in 2022, Outstanding\nSocial Pratice Teacher Award from NTHU in 2022, Outsdanding program Award of\nTeaching practice progam from MOE in 2023, USR (University Social Responsibility)\nrole model Award in 2023, IoT Creative Application Award from Pan Wen-Yuan\nFoundation in 2023, Outstanding University/Idustrial Reseach Award from NTHU in\n2023, Outstanding Eletrical Engineering Professor Award from Chinese Society for\nElectrical Engineering (CSEE) in 2023, and Kuo-Ting Li Special AI Contribution\nAward in 2025..\n\n AIoT Research Projects: Professor Huang has many successful experiences in AI\nSmart Agriculture. For the past ten years, Professor Huang has collaborated with\nmore 40 farms (including organic vegetable, Banana, Mango, Pineapple, Coffee, rice\npaddy fields, dragon fruits, flowers,...) in Taiwan to implement AI and IoT\ntechnologies into the farms. Also these AI smart farms are playing the experiencing\nfields for training AI talent. Professor Huang also developed many cloud based AI\nsmart agriculture platform and AI training platforms (AImaker) for training talents to\nbuild and evaluate their own AI models, including video/image recognition AI\nmodels (via AR Smart glasses) and Audio recognition models (via AI tap stick,\ninvented by Professor Huang).(字串長度:3688)'),(7217,'2025-09-03 21:32:33',53,'talk_title---->(字串長度:0)---->Utilizing Open Source Models to Build AI Agents for Industry(字串長度:60)```desc---->(字串長度:0)---->This talk explores how to use open-source LLMs models to build AI Agents to enhance productivity and efficiency across various industries. As AI Agents become a major focus by 2025, a wide range of applications will be widely promoted, providing enterprises with opportunities for challenge and upgrade. Open-source models have three main advantages: on-premises deployment enhances security protection, ownership of weights increases system stability, and fine-tuning creates a better user experience. Moreover, the open-source Breeze 2 from the MediaTek Research not only serves as a Traditional Chinese model but also targets AI Agents; we will open source a lightweight Agentic Workflow to help Taiwanese industries easily deploy Breeze 2 as an industrial assistant. This presentation will illustrate how to use these open-source models to create AI Agents through examples, including real-world cases from Cola Tour and AIA.\n這個講題探討如何利用開源的LLMs模型來建立 AI  Agent，以在各行業中提升生產力和效率。隨著 2025 年 AI Agent 成為一大重點，各類應用將廣泛推展，企業因此迎來挑戰與升級的契機。開源模型具備三大優勢：地端部署提升資安防護、擁有權重增加系統穩定性、以及可微調創造更佳使用者體驗。此外，聯發創新基地開源的 Breeze 2 不僅是一個繁體中文模型，更是一個對標 AI Agent 的模型；我們將開源一個輕量級的 Agentic Workflow，以助力台灣產業輕鬆部署 Breeze 2 成為產業助手。本演講將通過實例，包括使用可樂旅遊和 AIA 的實際案例，說明如何利用這些開源模型打造 AI Agent。(字串長度:1684)'),(7218,'2025-09-04 22:46:00',19,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(7219,'2025-09-04 22:46:01',53,'desc---->This talk explores how to use open-source LLMs models to build AI Agents to enhance productivity and efficiency across various industries. As AI Agents become a major focus by 2025, a wide range of applications will be widely promoted, providing enterprises with opportunities for challenge and upgrade. Open-source models have three main advantages: on-premises deployment enhances security protection, ownership of weights increases system stability, and fine-tuning creates a better user experience. Moreover, the open-source Breeze 2 from the MediaTek Research not only serves as a Traditional Chinese model but also targets AI Agents; we will open source a lightweight Agentic Workflow to help Taiwanese industries easily deploy Breeze 2 as an industrial assistant. This presentation will illustrate how to use these open-source models to create AI Agents through examples, including real-world cases from Cola Tour and AIA.\r\n這個講題探討如何利用開源的LLMs模型來建立 AI  Agent，以在各行業中提升生產力和效率。隨著 2025 年 AI Agent 成為一大重點，各類應用將廣泛推展，企業因此迎來挑戰與升級的契機。開源模型具備三大優勢：地端部署提升資安防護、擁有權重增加系統穩定性、以及可微調創造更佳使用者體驗。此外，聯發創新基地開源的 Breeze 2 不僅是一個繁體中文模型，更是一個對標 AI Agent 的模型；我們將開源一個輕量級的 Agentic Workflow，以助力台灣產業輕鬆部署 Breeze 2 成為產業助手。本演講將通過實例，包括使用可樂旅遊和 AIA 的實際案例，說明如何利用這些開源模型打造 AI Agent。(字串長度:1685)---->This talk explores how to use open-source LLMs models to build AI Agents to enhance productivity and efficiency across various industries. As AI Agents become a major focus by 2025, a wide range of applications will be widely promoted, providing enterprises with opportunities for challenge and upgrade. Open-source models have three main advantages: on-premises deployment enhances security protection, ownership of weights increases system stability, and fine-tuning creates a better user experience. Moreover, the open-source Breeze 2 from the MediaTek Research not only serves as a Traditional Chinese model but also targets AI Agents; we will open source a lightweight Agentic Workflow to help Taiwanese industries easily deploy Breeze 2 as an industrial assistant. This presentation will illustrate how to use these open-source models to create AI Agents through examples, including real-world cases from Cola Tour and AIA.\n這個講題探討如何利用開源的LLMs模型來建立 AI  Agent，以在各行業中提升生產力和效率。隨著 2025 年 AI Agent 成為一大重點，各類應用將廣泛推展，企業因此迎來挑戰與升級的契機。開源模型具備三大優勢：地端部署提升資安防護、擁有權重增加系統穩定性、以及可微調創造更佳使用者體驗。此外，聯發創新基地開源的 Breeze 2 不僅是一個繁體中文模型，更是一個對標 AI Agent 的模型；我們將開源一個輕量級的 Agentic Workflow，以助力台灣產業輕鬆部署 Breeze 2 成為產業助手。本演講將通過實例，包括使用可樂旅遊和 AIA 的實際案例，說明如何利用這些開源模型打造 AI Agent。(字串長度:1684)'),(7220,'2025-09-06 12:53:38',23,'name2---->(字串長度:0)---->Min-Chun Hu(字串長度:11)```anchor---->speaker-23(字串長度:10)---->min-chun-hu(字串長度:11)```company---->清華大學(字串長度:12)---->National Tsing Hua University(字串長度:29)```position---->教授(字串長度:6)---->Department of Computer Science(字串長度:30)```me_desc---->(字串長度:0)---->Dr. Min-Chun Hu received her Ph.D. from the Graduate Institute of Networking and Multimedia, National Taiwan University in 2011. After graduation, she worked as a postdoctoral researcher at the Research Center for Information Technology Innovation in Academia Sinica, and later served as an assistant/associate professor in the Department of Computer Science and Information Engineering at National Cheng Kung University. She is currently a professor in the Department of Computer Science at National Tsing Hua University.(字串長度:522)'),(7221,'2025-09-06 12:53:39',26,'name2---->(字串長度:0)---->Min-Chun Hu(字串長度:11)```anchor---->speaker-26(字串長度:10)---->min-chun-hu-2(字串長度:13)```talk_title---->(字串長度:0)---->Merging Sensors, AI, and VR for Athlete Training(字串長度:48)```talk_title2----> 融合感測器、AI 和 VR 進行運動員訓練(字串長度:50)---->融合感測器、AI 和 VR 進行運動員訓練(字串長度:49)```can_playback---->(字串長度:0)---->V(字串長度:1)```company---->清華大學(字串長度:12)---->National Tsing Hua University(字串長度:29)```position---->教授(字串長度:6)---->Department of Computer Science(字串長度:30)```desc---->(字串長度:0)---->Tactical and skill training play a crucial role in athletic development. With the support of artificial intelligence (AI) technology, it is now possible to track the ball and players to detect fine-grained events, helping coaches collect detailed statistics and infer each team’s tactics. Additionally, virtual reality (VR) technology can be leveraged to enhance both the effectiveness and experience of tactical and skill-based training. This talk will introduce modern systems that utilize AI and VR to help athletes conveniently gather valuable sports data and improve a wide range of skills.(字串長度:597)```me_desc---->(字串長度:0)---->Dr. Min-Chun Hu received her Ph.D. from the Graduate Institute of Networking and Multimedia, National Taiwan University in 2011. After graduation, she worked as a postdoctoral researcher at the Research Center for Information Technology Innovation in Academia Sinica, and later served as an assistant/associate professor in the Department of Computer Science and Information Engineering at National Cheng Kung University. She is currently a professor in the Department of Computer Science at National Tsing Hua University.\n\nDr. Hu has been recognized with numerous awards, including Exploration Research Award of Pan Wen Yuan Foundation (2015), Outstanding Young Researcher Award from the Computer Society of the Republic of China (2017), IEEE Tainan Section Best Young Professional Member Award (2018), Google Research exploreCSR Award (2021-2024), CES Innovation Awards (2023), and NSTC Ta-You Wu Memorial Award (2023). Her research interests encompass digital signal processing, multimedia content analysis, computer vision, computer graphics, virtual reality, and augmented reality. As a passionate basketball enthusiast, she has long been dedicated to developing sports technology that assists athletes in training and performance analysis. Dr. Hu previously served as Deputy Executive Director of the Taiwan Institute of Sports Science and is also the co-founder of NeuinX, a startup specializing in AI technology for sports analysis.(字串長度:1440)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7222,'2025-09-06 12:53:39',46,'desc---->(字串長度:0)---->針對生成式AI的發展歷程以及其對台灣中小企業的影響進行了深入探討。首先，回顧了生成式 AI 的三個發展階段：從 2020 至 2023 年的爆發期，進入 2024 年的理性調整期，並展望 2025 年的成熟應用期。這一過程中，AI技術從炒作到逐漸實用化，尤其是多模態模型和AI代理人（AI Agents）等新技術的崛起。演講的核心部分聚焦於如何通過 AI 工作流程和AI代理人來提升企業效率。例如，介紹了設備借用自動化系統，通過數位化流程來解決傳統設備借用管理中的痛點，從而節省大量的人力與時間，並將這些資源重新投入到更具創新性的任務中。此外，會議中展示了如何使用Google NotebookLM 進行 RAG（檢索增強生成）技術的應用，從而進一步提高工作效率。演講的另一重點是未來 AI 技術的發展趨勢，尤其是從 AI 輔助到 AI 代理的過渡。這種變化將從最初的任務輔助演變為更深層次的協作夥伴關係，促進人類與AI的協同工作。\n最後，AI 的導入不再是一個選擇題，而是企業生存的關鍵。為了幫助中小企業快速適應 AI 技術，他提出了「三步走策略」（Crawl-Walk-Run）：從策略規劃、快速驗證到全面擴展，逐步推進 AI 工具的導入。演講總結指出，數據是 AI 應用的燃料，文化的建立與團隊學習成長是成功的關鍵。企業應該從最小的痛點著手，通過低成本的AI工具進行實踐，並在實踐中不斷優化，最終實現人機協作，創造更大的商業價值。(字串長度:1620)'),(7223,'2025-09-08 11:55:22',14,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(7224,'2025-09-08 11:55:22',26,'me_desc---->Dr. Min-Chun Hu received her Ph.D. from the Graduate Institute of Networking and Multimedia, National Taiwan University in 2011. After graduation, she worked as a postdoctoral researcher at the Research Center for Information Technology Innovation in Academia Sinica, and later served as an assistant/associate professor in the Department of Computer Science and Information Engineering at National Cheng Kung University. She is currently a professor in the Department of Computer Science at National Tsing Hua University.\r\n\r\nDr. Hu has been recognized with numerous awards, including Exploration Research Award of Pan Wen Yuan Foundation (2015), Outstanding Young Researcher Award from the Computer Society of the Republic of China (2017), IEEE Tainan Section Best Young Professional Member Award (2018), Google Research exploreCSR Award (2021-2024), CES Innovation Awards (2023), and NSTC Ta-You Wu Memorial Award (2023). Her research interests encompass digital signal processing, multimedia content analysis, computer vision, computer graphics, virtual reality, and augmented reality. As a passionate basketball enthusiast, she has long been dedicated to developing sports technology that assists athletes in training and performance analysis. Dr. Hu previously served as Deputy Executive Director of the Taiwan Institute of Sports Science and is also the co-founder of NeuinX, a startup specializing in AI technology for sports analysis.(字串長度:1442)---->Dr. Min-Chun Hu received her Ph.D. from the Graduate Institute of Networking and Multimedia, National Taiwan University in 2011. After graduation, she worked as a postdoctoral researcher at the Research Center for Information Technology Innovation in Academia Sinica, and later served as an assistant/associate professor in the Department of Computer Science and Information Engineering at National Cheng Kung University. She is currently a professor in the Department of Computer Science at National Tsing Hua University.\n\nDr. Hu has been recognized with numerous awards, including Exploration Research Award of Pan Wen Yuan Foundation (2015), Outstanding Young Researcher Award from the Computer Society of the Republic of China (2017), IEEE Tainan Section Best Young Professional Member Award (2018), Google Research exploreCSR Award (2021-2024), CES Innovation Awards (2023), and NSTC Ta-You Wu Memorial Award (2023). Her research interests encompass digital signal processing, multimedia content analysis, computer vision, computer graphics, virtual reality, and augmented reality. As a passionate basketball enthusiast, she has long been dedicated to developing sports technology that assists athletes in training and performance analysis. Dr. Hu previously served as Deputy Executive Director of the Taiwan Institute of Sports Science and is also the co-founder of NeuinX, a startup specializing in AI technology for sports analysis.(字串長度:1440)'),(7225,'2025-09-08 11:55:23',37,'desc---->(字串長度:0)---->在 AI Factory 的新時代，人工智慧正進行新一輪的範式轉移。企業如何結合 AI 與數位孿生技術，以快速因應瞬息萬變的市場與產業挑戰，成為能否領先的關鍵。\n\n本次分享將從 AI Factory 的全球大趨勢 出發，解析數位孿生在其中不可或缺的角色，並進一步說明 台達電子如何在這場轉型中發揮關鍵影響力，透過數位孿生方案與實際工作案例，展示企業落地實踐的路徑與價值。\n\nIn the new era of the AI Factory, artificial intelligence is undergoing yet another paradigm shift. For enterprises, the ability to integrate AI and digital twin technologies to swiftly adapt to a rapidly changing world has become a decisive factor for future success.\n\nThis talk will begin with the global trend of the AI Factory, highlight the indispensable role of digital twins, and share how Delta Electronics plays a pivotal role in this transformation. Through practical digital twin solutions and real-world implementations, we will explore how enterprises can realize the value of this paradigm shift in practice.\n\n (字串長度:1118)'),(7226,'2025-09-08 11:55:23',46,'desc---->針對生成式AI的發展歷程以及其對台灣中小企業的影響進行了深入探討。首先，回顧了生成式 AI 的三個發展階段：從 2020 至 2023 年的爆發期，進入 2024 年的理性調整期，並展望 2025 年的成熟應用期。這一過程中，AI技術從炒作到逐漸實用化，尤其是多模態模型和AI代理人（AI Agents）等新技術的崛起。演講的核心部分聚焦於如何通過 AI 工作流程和AI代理人來提升企業效率。例如，介紹了設備借用自動化系統，通過數位化流程來解決傳統設備借用管理中的痛點，從而節省大量的人力與時間，並將這些資源重新投入到更具創新性的任務中。此外，會議中展示了如何使用Google NotebookLM 進行 RAG（檢索增強生成）技術的應用，從而進一步提高工作效率。演講的另一重點是未來 AI 技術的發展趨勢，尤其是從 AI 輔助到 AI 代理的過渡。這種變化將從最初的任務輔助演變為更深層次的協作夥伴關係，促進人類與AI的協同工作。\r\n最後，AI 的導入不再是一個選擇題，而是企業生存的關鍵。為了幫助中小企業快速適應 AI 技術，提出了「三步走策略」（Crawl-Walk-Run）：從策略規劃、快速驗證到全面擴展，逐步推進 AI 工具的導入。演講總結指出，數據是 AI 應用的燃料，文化的建立與團隊學習成長是成功的關鍵。企業應該從最小的痛點著手，通過低成本的AI工具進行實踐，並在實踐中不斷優化，最終實現人機協作，創造更大的商業價值。(字串長度:1618)---->針對生成式AI的發展歷程以及其對台灣中小企業的影響進行了深入探討。首先，回顧了生成式 AI 的三個發展階段：從 2020 至 2023 年的爆發期，進入 2024 年的理性調整期，並展望 2025 年的成熟應用期。這一過程中，AI技術從炒作到逐漸實用化，尤其是多模態模型和AI代理人（AI Agents）等新技術的崛起。演講的核心部分聚焦於如何通過 AI 工作流程和AI代理人來提升企業效率。例如，介紹了設備借用自動化系統，通過數位化流程來解決傳統設備借用管理中的痛點，從而節省大量的人力與時間，並將這些資源重新投入到更具創新性的任務中。此外，會議中展示了如何使用Google NotebookLM 進行 RAG（檢索增強生成）技術的應用，從而進一步提高工作效率。演講的另一重點是未來 AI 技術的發展趨勢，尤其是從 AI 輔助到 AI 代理的過渡。這種變化將從最初的任務輔助演變為更深層次的協作夥伴關係，促進人類與AI的協同工作。\n最後，AI 的導入不再是一個選擇題，而是企業生存的關鍵。為了幫助中小企業快速適應 AI 技術，他提出了「三步走策略」（Crawl-Walk-Run）：從策略規劃、快速驗證到全面擴展，逐步推進 AI 工具的導入。演講總結指出，數據是 AI 應用的燃料，文化的建立與團隊學習成長是成功的關鍵。企業應該從最小的痛點著手，通過低成本的AI工具進行實踐，並在實踐中不斷優化，最終實現人機協作，創造更大的商業價值。(字串長度:1620)'),(7227,'2025-09-08 20:48:28',37,'desc---->在 AI Factory 的新時代，人工智慧正進行新一輪的範式轉移。企業如何結合 AI 與數位孿生技術，以快速因應瞬息萬變的市場與產業挑戰，成為能否領先的關鍵。\r\n\r\n本次分享將從 AI Factory 的全球大趨勢 出發，解析數位孿生在其中不可或缺的角色，並進一步說明 台達電子如何在這場轉型中發揮關鍵影響力，透過數位孿生方案與實際工作案例，展示企業落地實踐的路徑與價值。\r\n\r\nIn the new era of the AI Factory, artificial intelligence is undergoing yet another paradigm shift. For enterprises, the ability to integrate AI and digital twin technologies to swiftly adapt to a rapidly changing world has become a decisive factor for future success.\r\n\r\nThis talk will begin with the global trend of the AI Factory, highlight the indispensable role of digital twins, and share how Delta Electronics plays a pivotal role in this transformation. Through practical digital twin solutions and real-world implementations, we will explore how enterprises can realize the value of this paradigm shift in practice.\r\n\r\n (字串長度:1126)---->在 AI Factory 的新時代，人工智慧正進行新一輪的範式轉移。企業如何結合 AI 與數位孿生技術，以快速因應瞬息萬變的市場與產業挑戰，成為能否領先的關鍵。\n\n本次分享將從 AI Factory 的全球大趨勢 出發，解析數位孿生在其中不可或缺的角色，並進一步說明 台達電子如何在這場轉型中發揮關鍵影響力，透過數位孿生方案與實際工作案例，展示企業落地實踐的路徑與價值。\n\nIn the new era of the AI Factory, artificial intelligence is undergoing yet another paradigm shift. For enterprises, the ability to integrate AI and digital twin technologies to swiftly adapt to a rapidly changing world has become a decisive factor for future success.\n\nThis talk will begin with the global trend of the AI Factory, highlight the indispensable role of digital twins, and share how Delta Electronics plays a pivotal role in this transformation. Through practical digital twin solutions and real-world implementations, we will explore how enterprises can realize the value of this paradigm shift in practice.\n\n (字串長度:1118)'),(7228,'2025-09-08 20:48:28',42,'name2---->(字串長度:0)---->Alias Li(字串長度:8)```anchor---->speaker-42(字串長度:10)---->alias-li(字串長度:8)```can_playback---->(字串長度:0)---->V(字串長度:1)```company2---->(字串長度:0)---->Taiwan Swarm Innovation Inc.(字串長度:28)```position2---->(字串長度:0)---->CEO(字串長度:3)```me_desc---->(字串長度:0)---->NAME: Chih-Ching Li (Dr. Alias Li)\nPhD, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\n\nExperience:\n2020-Present        CEO, Taiwan Swarm Innovation Inc.\n2012-2020        Assistant Professor, Dept. of Electronic Engineering, Southern Taiwan University, Taiwan\n2010-2011        Research Fellow, RMIT University Australia\n2004-2010        Postdoctoral Researcher, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\n\nSpecial Experience:\n2020        UAV Industry Development Advisor, Executive Yuan\n2019        Establish Taiwan Swarm Innovation Inc.\n2019        Drone Academic Advisor for AI Labs\n2019        Member of the Drone Technology Industry Group of the Ministry of Transport\n2018        UAV development strategy consulting expert for Ministry of Transport\n2018        Project Leader of Taiwan Drone 100\n2017        Drone Regulations Consulting Expert for CAA(字串長度:923)```talkfile_link---->(字串長度:0)---->V(字串長度:1)'),(7229,'2025-09-09 08:25:04',6,'can_playback---->V(字串長度:1)---->X(字串長度:1)```talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7230,'2025-09-09 08:25:04',18,'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)'),(7231,'2025-09-09 08:25:05',42,'me_desc---->NAME: Chih-Ching Li (Dr. Alias Li)\r\nPhD, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\r\n\r\nExperience:\r\n2020-Present        CEO, Taiwan Swarm Innovation Inc.\r\n2012-2020        Assistant Professor, Dept. of Electronic Engineering, Southern Taiwan University, Taiwan\r\n2010-2011        Research Fellow, RMIT University Australia\r\n2004-2010        Postdoctoral Researcher, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\r\n\r\nSpecial Experience:\r\n2020        UAV Industry Development Advisor, Executive Yuan\r\n2019        Establish Taiwan Swarm Innovation Inc.\r\n2019        Drone Academic Advisor for AI Labs\r\n2019        Member of the Drone Technology Industry Group of the Ministry of Transport\r\n2018        UAV development strategy consulting expert for Ministry of Transport\r\n2018        Project Leader of Taiwan Drone 100\r\n2017        Drone Regulations Consulting Expert for CAA(字串長度:939)---->NAME: Chih-Ching Li (Dr. Alias Li)\nPhD, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\n\nExperience:\n2020-Present        CEO, Taiwan Swarm Innovation Inc.\n2012-2020        Assistant Professor, Dept. of Electronic Engineering, Southern Taiwan University, Taiwan\n2010-2011        Research Fellow, RMIT University Australia\n2004-2010        Postdoctoral Researcher, Dept. of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.\n\nSpecial Experience:\n2020        UAV Industry Development Advisor, Executive Yuan\n2019        Establish Taiwan Swarm Innovation Inc.\n2019        Drone Academic Advisor for AI Labs\n2019        Member of the Drone Technology Industry Group of the Ministry of Transport\n2018        UAV development strategy consulting expert for Ministry of Transport\n2018        Project Leader of Taiwan Drone 100\n2017        Drone Regulations Consulting Expert for CAA(字串長度:923)'),(7232,'2025-09-09 08:26:48',8,'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)'),(7233,'2025-09-09 08:31:30',21,'can_playback---->(字串長度:0)---->V(字串長度:1)'),(7234,'2025-09-09 19:55:28',80,'talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7235,'2025-09-09 19:55:28',21,'talkfile_link---->(字串長度:0)---->X(字串長度:1)'),(7236,'2025-09-09 19:55:29',22,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)'),(7237,'2025-09-09 19:55:29',94,'name---->黃瑞賢(字串長度:9)---->賴穎萱(字串長度:9)```talk_title2---->AIoT 與 GeoAI 於災害管理之應用(字串長度:39)---->AI驅動AIoT×GeoAI智慧防災應用(字串長度:37)```position---->事業一部 部長(字串長度:19)---->特助(字串長度:6)```me_desc---->興創知能事業一部 部長(字串長度:31)---->(字串長度:0)```position_for_agenda---->部長(字串長度:6)---->特助(字串長度:6)'),(7238,'2025-09-23 15:18:07',45,'talkfile_link---->V(字串長度:1)---->X(字串長度:1)');
