Brief Introduction of Brain Inspired Computing

Abstract:

       

In this presentation, the basic idea of Brain inspired computing, which aims to build a bridge between Computer Science and Biology, will be introduced. The speaker will introduce a brain inspired chip, named Tianjc chip, which can support both spiking neuron network (SNN) and artificial neuron network (ANN), including convolutional neural networks (CNNs), multilayer perceptrons (MLPs) and recurrent neural networks (RNNs). By combining some of his recent works, the speaker will also share his opinions regarding the challenges in this research field.

           

Speaker:

 

Dr Guoqi Li is an Associate Professor from the center of Brain inspired computing Research, Tsinghua University, Beijing, China. He received the B.Eng. degree from the Xi’an University of Technology, Xi’an, China, in 2004, the M.Eng. degree from Xi’an Jiaotong University, Xi’an, China, in 2007, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2012. From 2011 to 2014, he was a Scientist with the Data Storage Institute and the Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore. Since 2014, he has been with the Tsinghua University. He has authored or co-authored more than 100 journal and conference papers. His current research interests include brain-inspired computing, machine learning, neuromorphic computing and complex systems.

Dr. Li has been actively involved in professional services such as serving as a Tutorial Chair, an International Technical Program Committee Member, a PC member, a Publication Chair and a Track Chair for several international conferences. He is an Editorial-Board member for Control and Decision and Frontiers in Neuroscience. He received two Best Paper Awards, and the 2018 Excellent Young Talent Award of Beijing Natural Science Foundation.