Bengio at Tsinghua University on Maturing Deep Learning and BabyAI

Last November Synced ran an interview with Yoshua Bengio, in which the deep learning maverick, Université de Montréal Professor and MILA Scientific Director discussed his research and commented on the current state of deep learning and AI. In this follow-up piece we look at the talk Bengio gave late last year at Tsinghua University in Beijing. Challenges for Deep Learning towards Human-Level AI addressed difficulties Bengio and his collaborators are facing and efforts they have made to improve deep learning for human-like AI development. Research over the last decade has given us a much improved understanding of AI, such as why certain methods are helpful for model optimization and why deep learning is so useful. Researchers are showing great interest in deep learning and its potential for application across many different fields.