Neuromorphic Intelligent Vision System-on-Chip
Prof. Ren-Shuo Liu, Associate Professor
Department of Electrical Engineering, National Tsing Hua University
Abstract
Deep neural network is currently applied to various artificial intelligence tasks including computer vision, speech recognition and robotics. Visual signal processing is a crucial aspect of artificial intelligence. Although deep neural network provides very high accuracy to process visual information, the massive model causes extremely high computing power consumption and is difficult to implement in mobile devices. This talk discusses several key technologies to tackle this crucial problem by integrating biological principle and neuromorphic architecture with deep neural network to develop a neuromorphic intelligent visual system-on-chip for mobile devices.
