BORN : A brain-inspired Spiking Neural Network based Artificial General Intelligence Engine towards Human-level AI

Introducing BORN

BORN is an Artificial Intelligence Engine based on Brain-inspired Spiking Neural Networks. The ultimate vision of BORN is to achieve living Artificial General Intelligence, as a new type of evolutionary becoming, and as a moral member of the future symbiotic society. The near term goal of BORN is a self enabled learning AI powered by spiking neural networks that can coordinate various cognitive functions in a self organized way to solve complex problems. BORN is powered by BrainCog, the Brain-inspired Cognitive Intelligence Engine.

The Near-term functional vision of BORN

Applications of BORN

Brain-inspired Reinforcement Learning

Brain-inspired Visual Fear Responses

Icub Plays Piano Pieces Powered by BrainCog

Brain-inspired Theory of Mind / Cognitive Empathy Model

Robots Pass Mirror Test Powered by BrainCog

Nature-inspired Self-organizing Collision Avoidance

BORN Contributors

Principal Investigator: Yi Zeng
Team Members: Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi, cunqing huangfu, jinyu fan, xuan tang, taoyi yang, hui feng, linghao feng, bing han, wenxuan pan, mengyue cai, xiang he, jindong li, weiyi li, yao liang, jihang wang, qianhao wang

Acknowledgement

The robots used for BORN are iCub, NAO, and DJI, etc. The work on BORN focuses on developing a brain-inspired AI engine and apply them to different robotics (humanoid robots, unmanned aerial vehicle (UAV), etc.) to perform various cognitive tasks.