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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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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:20240101T000000
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DTSTART;TZID=Asia/Hong_Kong:20250523T160000
DTEND;TZID=Asia/Hong_Kong:20250523T160000
DTSTAMP:20260509T183746
CREATED:20250603T032424Z
LAST-MODIFIED:20250603T032435Z
UID:111553-1748016000-1748016000@ece.hku.hk
SUMMARY:Security and Efficient Brain-inspired In-memory Computing
DESCRIPTION:Zoom Link: https://hku.zoom.us/j/97430126742?pwd=ou6CUPNMjhlrmRbwUKRa8aTHi6PjYX.1\nMeeting ID: 974 3012 6742\nPassword: 967270 \nAbstract\nThe human brain operates as a sophisticated spiking neural network (SNN)\, capable of learning multimodal signals in a zero-shot manner by leveraging prior knowledge. Impressively\, it accomplishes this with minimal energy consumption\, relying on event-driven signals that travel through its intricate structure. However\, replicating the brain’s functionality in efficient neuromorphic hardware poses significant challenges in both hardware and software. Moreover\, training these algorithms demands extensive resources\, and effective security measures remain insufficient. \nBenefiting from the RRAM array inherit stochasticity\, we demonstrated an efficient analogue-digital system that can handle multi-modal spiking signals and possess zero-shot learning capability like a human. This reservoir accelerated system enables significant lower training overheads while maintaining comparable baseline utility. Since emerging brain-inspired computing raises security concerns\, we also share new methodologies insights onto these neuromorphic systems that can secure non-volatile CIM-based parameters without sacrificing latency and energy efficiency. \nThis presentation will delve into the development of a secure and efficient brain-inspired in-memory computing system\, achieved through the integrated co-design of algorithms\, circuits\, and devices. \nSpeaker\nMr. WONG Edwin Kwun Hang\nDepartment of Electrical and Electronic Engineering\nThe University of Hong Kong \nSpeaker’s Biography\nMr. Edwin Kwun Hang Wong received the B.Eng. (EE) degree from The University of Hong Kong in 2023. He is currently working towards MPhil degree with The University of Hong Kong. His research interests include AI Security\, Brain-inspired computing\, and RRAM-based accelerator. \nAll are welcome!
URL:https://ece.hku.hk/events/20250523-1/
LOCATION:Online via Zoom
CATEGORIES:Highlights,Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/11/rpg-seminar.jpg
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