TechTalk – Defect Tolerant Brain-inspired Computing with Memristors

All members of the HKU community and the general public are welcome to join!
Speaker: Dr. Can Li, Assistant Professor, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
Date: 9th February 2023 (Thursday)
Time: 4:30pm
Mode: Mixed
About the Tech Talk
All members of the HKU community and the general public are welcome to join!
Speaker: Dr. Can Li, Assistant Professor, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
Moderator: Dr. Zhiqin Chu, Assistant Professor, Department of Electrical and Electronic Engineering (Joint Appointment with School of Biomedical Sciences), Faculty of Engineering, HKU
Date: 9th February 2023 (Thursday)
Time: 4:30pm
Mode: Mixed (both face-to-face and online). Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Language: English

Human brain can perform many tasks much better than classical electronic computers, such as face recognition, reasoning based on vague information, and learning from experience, to name a few. Recently, brain-inspired algorithms have promoted in the rapid development of artificial intelligence, however, they cannot work well in classical computers. In this talk, Dr. Can Li will present his recent works on building brain-inspired computers to fit better with brain-inspired algorithms. Those computers are based on an emerging nanoelectronics device – a memristor – which can store information and compute simultaneously, similar to synapses and neurons in our brain. The built hardware can function similar to human brains, for example, it can tolerate hardware defects, make full use of the nonlinearity of devices, learn from rare samples, and so on.

Biological neural network and artificial neural network in memristor crossbars
A brain-inspired computing chip
Registration
  • The tech talk “Defect Tolerant Brain-inspired Computing with Memristors” will be organized in the Tam Wing Fan Innovation Wing Two (G/F, Run Run Shaw Building, HKU) on 9th February 2023 (Thursday), 4:30 pm.
  • Seats are limited. Zoom broadcast is available if the seating quota is full. 
  • Registrants on the waiting list will be notified of the arrangement after the registration deadline (with seating/free-standing/other arrangement)

Dr. Can Li

Dr. Can Li is currently an Assistant Professor at the Department of Electrical and Electronic Engineering of the University of Hong Kong, working on analog and neuromorphic computing accelerators based on post-CMOS emerging devices (e.g., memristors) for efficient machine/deep learning, network security, signal processing, etc. Before that, He spent two years at Hewlett Packard Labs in Palo Alto, California, and obtained his Ph.D. from University of Massachusetts, Amherst, and B.S./M.S. from Peking University. He is a recipient of the Early Career Award by HKSAR RGC and the Excellent Young Scientist Fund Award by NSFC.

Promotion materials
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