时间：2020年10月17日下午15：00

地点：中国西部科技创新港新港报告厅

AI (Artificial Intelligence) and BI (Brain Intelligence)

From AlphaGo to driverless cars, AI has made remarkable progress in the past decade. This is partly because of faster processing speed but it is largely due to the use of massive machine learning, based on neural network architecture. Superficially, this approach to computing has similarities to the structure and function of the brain, which has huge number of neurons and very rich connectivity between them, with connections (synapses) that can change their transmission strength according to simple rules. The current slogan, ‘Brain-Inspired AI’ – seen everywhere in China – expresses the hope that the brain might hold other secrets of neural computation that could be copied in future generations of AI. This might be true, but it is important to understand that our knowledge of the brain is still very elementary and the probabilistic, analog nature of brain computation is, in many ways, fundamentally different from the principles of machine computation.In fact, it is possible that developments in AI will tell us more about how the brain works, than brain research tells us about AI.

报告人简介：Colin Blakemore

Sir Colin Blakemore is Chair Professor of Neuroscience at City University of Hong Kong, and Emeritus Professor in the School of Advanced Study, University of London, and at the University of Oxford. After studying medicine at Cambridge and completing a PhD at Berkeley, he worked in the medical schools of Cambridge and Oxford for more than 40 years. From 2003-7 he was Chief Executive of the UK Medical Research Council. His research has focused on vision, development and plasticity of the brain, and on neurodegenerative disease. Colin Blakemore has been President of the British Science Association, the British Neuroscience Association, the Physiological Society and the Society of Biology. He is a member of 12 scientific academies, including the Royal Society and the Chinese Academy of Engineering, and his honours include the Ralph Gerard Prize (the highest award of the Society for Neuroscience), and both the Faraday Prize and the Ferrier Prize from the Royal Society. He has been involved in scientific advice to government and in public communication about science, with almost 1,000 TV and radio broadcasts and frequent articles in the press.