时间：2024年11月4日（周一）11:00-12:00

Time:11:00-12:00,Monday,November 4, 2024

地点：西湖大学云谷校区E10-306

Venue：E10-306, 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

主讲嘉宾/Speaker：

邹卓博士

复旦大学教授

主讲人简介/Biography:

Zhuo Zou received his Ph.D. degree in Electronic and Computer Systems from KTH Royal Institute of Technology, Sweden, in 2012. Currently, he is with Fudan University Shanghai as a Full Professor, where he is conducting research on intelligent chips and systems for AIoT and intelligent computing. Prior to joining Fudan, he was the assistant director and a project leader at VINN iPack Excellence Center, KTH, Sweden. His current research interests include low-power circuits, energy-efficient SoC, neuromorphic computing, and their applications in AIoT and intelligent computing systems. Dr. Zou has also been an adjunct professor and docent at the University of Turku, Finland. He is vice chair of IFIP WG-8.12 and a senior member of IEEE.

讲座摘要/Abstract:

Neuromorphic computing with brain-inspired spiking neural networks offers promising energy efficiency due to its event-driven processing and spatiotemporal sparsity. Recent advancements in brain-inspired models have demonstrated not only their unique advantages in low-power edge and sensory applications but also their capability for large-scale models for more complex tasks with significantly reduced energy consumption. In this talk, we will discuss the key considerations and technical challenges for large-scale neuromorphic chip design.  Architectural exploration for cortical-level models will be presented, with focus on memory systems, intra/inter-chip communication, scalability, and large-scale integration.

讲座联系人/Contact:

Yitian(Claire) Zhang

zhangyitian@westlake.edu.cn

Fangyuan(Tiffany) Tian

tianfangyuan@westlake.edu.cn