A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence

Abstract

Recently, artificial intelligence has made rapid progresses. However, existing AI systems still encounter difficulties even for somethings that humans can easily do. The ultimate way to solve these problems is to develop artificial general intelligence (AGI). Brain inspired computing (BIC) systems are one of the most promising technologies to integrate computer science and neuroscience to facilitate the development of AGI. In this talk, three issues will be discussed: (1) why do we need BIC system? (2) the current status and latest progress in BIC chips, software, and systems; (3) how to develop BIC systems to support AGI with limited understanding of the brain mechanisms. A hybrid and scalable exploration platform of AGI is demonstrated by an unmanned bicycle control system. The main challenges, possible solutions and strategies to develop BIC systems to stimulate AGI development will be addressed.