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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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DTSTART:20230101T000000
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DTSTART;TZID=Asia/Hong_Kong:20241021T110000
DTEND;TZID=Asia/Hong_Kong:20241021T120000
DTSTAMP:20260512T135721
CREATED:20241016T064446Z
LAST-MODIFIED:20250114T033931Z
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SUMMARY:Big AI for Small Devices
DESCRIPTION:Abstract\nAs artificial intelligence (AI) transforms industries\, state-of-the-art models have exploded in size and capability. However\, deploying these models on resource-constrained edge devices remains a significant challenge. Smartphones\, wearables\, and IoT sensors face stringent limitations on compute\, memory\, power\, and communication\, creating a gap between demanding AI models and edge hardware capabilities that hinders the deployment of intelligence. In this talk\, we will re-examine techniques to bridge this gap and embed big AI on small devices. We will begin by discussing how the properties of various hardware platforms impact the design strategies of efficient deep neural network (DNN) models\, such as quantization and pruning. Next\, we will discuss techniques aimed at reducing the inference and training costs of distributed collaborative edge AI systems. Finally\, we will delve into the underlying design philosophies and their evolution toward efficient\, scalable\, robust\, and secure edge computing systems. \nSpeaker\nProf. Yiran Chen\nJohn Cocke Distinguished Professor of Electrical and Computer Engineering\,\nDuke University \nBiography of the Speaker\nProf. Yiran Chen is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He serves as the principal investigator and director of the NSF AI Institute for Edge Computing – Athena\, the NSF Industry-University Cooperative Research Center for Alternative Sustainable and Intelligent Computing (ASIC)\, and the co-director of the Duke Center for Computational Evolutionary Intelligence (DCEI). Dr. Chen is the author of over 600 publications and holds 96 US patents. His works have been recognized with numerous awards and honors\, including the IEEE Circuits and Systems Society’s Charles A. Desoer Technical Achievement Award and the IEEE Computer Society’s Edward J. McCluskey Technical Achievement Award. He is a Fellow of AAAS\, ACM\, IEEE\, and NAI\, and the inaugural Editor-in-Chief of IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI).\n\nOrganiser\nProf. K.B. Huang\nProfessor & Head of Department\,\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/20241021-1/
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/2024/10/1280-3.jpg
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