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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETFROM:+0800
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DTSTART:20230101T000000
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DTSTART;TZID=Asia/Hong_Kong:20241107T130000
DTEND;TZID=Asia/Hong_Kong:20241107T153000
DTSTAMP:20260512T115033
CREATED:20241029T064840Z
LAST-MODIFIED:20250114T033534Z
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SUMMARY:Felix Wu Distinguished Lecture in Power Systems: Change of Paradigm of Power System Operation and Control
DESCRIPTION:Abstract\nSince the inception at the end of the 19th Century\, technical characteristics of power systems have been determined by the physics of synchronous machines (SMs) that convert the primary energy produced by thermal/hydro/nuclear power stations into electricity. However\, the traditional power plants are increasingly being replaced by wind/PV plants and batteries which are connected to the grid asynchronously by means of power electronics (controllable inverters). This means that the power system technical characteristics are increasingly being determined by the control algorithms of inverters rather than the physics of SMs\, and this has profound consequences for power system operation and control. The presentation will discuss those changes and especially the question to what extent inverters can replace synchronous machines. \nSpeaker\nProf. Janusz Bialek\nPrincipal Research Fellow\,\nImperial College London \nBiography of the Speaker\nProfessor Janusz Bialek (FIEEE) is Principal Research Fellow at Imperial College London. Previously\, he held Chair positions at the University of Edinburgh\, Durham University\, Newcastle University and Skolkovo Institute of Science and Technology (Skoltech). Janusz has been PI and Col of multi-million research grants funded by UK research councils and the industry\, and a consultant to the UK government\, European Commission\, and International Energy Agency. He has published widely on integration of renewable generation in power systems\, smart grids\, power system dynamics\, preventing electricity blackouts and power markets. His current main research interests are in addressing the techno-economic challenges posed by increasing penetration of wind/PV/batteries and other devices that are connected to the grid by means of power electronics (programmable inverters)\, rather than synchronous machines\, therefore changing fundamental technical characteristics of the power system. \nOrganiser\nProf. Y. Hou\nDeputy Head\,\nDepartment of Electrical and Electronic Engineering\,\nThe University of Hong Kong \nCo-organiser\nTam Wing Fan Innovation Wing Two \nAll are welcome! \nDirection to Innovation Wing Two: https://innowings.engg.hku.hk/innowing2/visitors
URL:https://ece.hku.hk/events/20241107-1/
LOCATION:Tam Wing Fan Innovation Wing Two\, G/F\, Run Run Shaw Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280.jpg
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20241107T141500
DTEND;TZID=Asia/Hong_Kong:20241107T153000
DTSTAMP:20260512T115033
CREATED:20241016T092204Z
LAST-MODIFIED:20250114T033454Z
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SUMMARY:Collaboration and Evolution of Foundation and Specialized Models
DESCRIPTION:The seminar scheduled for 24 October 2024 (Thur) has been postponed to 7 November 2024 (Thur)\, and time and venue remain unchanged.\n\n \n\nAbstract\nThe prevailing GPU resource monopoly significantly restricts AI development\, confining participation in the pretraining stages of Large Language Models (LLMs) to a few researchers. This project introduces a novel system that integrates hundreds of domain-specific models to construct a foundational model for Artificial General Intelligence (AGI) with minimal computational demand. By employing smaller\, efficient models\, leveraging top-ranked models across diverse domains through a robust ranking algorithm\, and continuously optimizing the evolving foundation model\, this approach seeks to democratize AI development. It shifts from the traditional ‘model over data’ method to a ‘model over models’ strategy\, aiming to reduce reliance on extensive computational resources and promote broader innovation and inclusivity in AI. \nSpeaker\nProf. Hongxia Yang\nProfessor\,\nDepartment of Computing\,\nThe Hong Kong Polytechnic University \nBiography of the Speaker\nProf. Hongxia Yang\, with over 15 years of experience as an AI scientist\, specializes in large-scale machine learning\, data mining\, and deep learning. Throughout her career\, she has developed 10 significant algorithmic systems\, improving the operations of various enterprises. Her research includes pre-trained models\, big data analytics\, and the practical deployment of large language model(LLM) systems in real settings. Prof. Yang has published more than 100 top-tier papers\, amassed around 10K citations with an H-index of 44\, and holds over 50 patents. She has received several awards\, including the 2019 SAIL Award at the World Artificial Intelligence Conference and the 2020 National Science and Technology Progress Award\, China’s top tech accolade. Named one of Forbes China’s Top 50 Women in Tech in 2022 and AI 2000 Most Influential Scholar Award in 2023-2024\, Prof. Yang has held prominent roles at ByteDance US\, Alibaba Group\, Yahoo! Inc\, and IBM T.J. Watson Research Center. She earned her PhD from Duke University and her B.S. from Nankai University.\n\nOrganiser\nProf. N. Wong\nAssociate Professor\,\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20241024-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/10/1280-1.jpg
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