时间：2023年6月14日（周三）14:00-15:30 

Time：2:00-3:30 PM, Wednesday, June 14th, 2023

地点：西湖大学云谷校区学术环E10-201

Venue:  E10-201, Yungu Campus

主持人：西湖大学工学院讲席教授Mohamad Sawan

Host: Mohamad Sawan, Chair Professor of School of Engineering, Westlake University

Yong Lian

Professor, FCAE, FAES, FIEEE, P.Eng

Department of Electrical Engineering and Computer Science, York University

Peter Lian is a Fellow of the Canadian Academy of Engineering, the Academy of Engineering Singapore, and IEEE. His research interests are in the areas of self-powered wireless sensors, energy efficient event-driven signal processing techniques and biomedical circuits and systems. He is the recipient of more than 15 awards including the 2023 IEEE Circuits and Systems Society Mac Van Valkenburg Award, 2023 IEEE Transactions on Biomedical Circuits and Systems Best Paper Award, Design Contest Award at 2015 International Symposium on Low Power Electronics and Design, 2011 Institution of Engineers Singapore Prestigious Engineering Achievement Award, 2008 IEEE Communications Society Multimedia Communications Best Paper Award, and 1996 IEEE Circuits and Systems Society Guillemin-Cauer Award. He serves as the IEEE Division 1 Director-Elect, Member-at-Large of the IEEE Publication Services and Products Board,  Chair for the IEEE Periodicals Partnership Opportunities Committee, Chair of the IEEE Ad Hoc Committee on Accelerating Partnerships with Chinese Publications, member of the IEEE Periodicals Committee, member of the IEEE MGA Strategic Planning Committee, member of the IEEE Periodicals Review and Advisory Committee, member of the IEEE PSPB Publishing Conduct Committee, and member of the IEEE Fellow Committee. He was the President of the IEEE Circuits and Systems Society, Editor-in-Chief of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS for two terms, the VP for Publications and VP for Region 10 of the IEEE CAS Society, and many other roles in the IEEE.

报告题目/Title: 

Event-driven system architecture for Ultra-low Power AIoT chips

讲座摘要/Abstract: 

Artificial Intelligence-of-Things (AIoT) devices differ from the IoT counterpart that not only they sense, store, transmit data but also analyze and act on data, i.e. they perform tasks similar to what a person could do. For the ubiquitous deployment of sensors in AIoT, power consumption of each sensor should be made as low as possible for extended operation hours. The traditional signal processing flow relies on Nyquist rate to digitize input signal, which generates redundant samples for sparse inputs in many AIoT applications and increases power consumption for the AI engine. Different from Nyquist sampling scheme, the event-driven system generates samples only if a predefined event occurs, i.e. the power consumption tracks the input activities. The amount of data generated in an event-driven system is intrinsically compressed, leading to significant savings in power. This talk will introduce several low power features of an even-driven system, and demonstrate how to achieve orders of magnitude reduction in power consumption for AIoT chips.

讲座联系人/Contact:

科技合作部sci-tech02@westlake.edu.cn