This video is part of the Deep Learning Summit, Boston, 2016 Event. If you would like to access all of the videos please click here.

Interview with Yoshua Bengio

A short interview with Yoshua Bengio at the Deep Learning Summit in Boston in 2016 to hear more about his thoughts on advancements, challenges and opportunities in the field.

Yoshua Bengio, Full Professor at Université de Montréal

Yoshua Bengio (PhD in CS, McGill University, 1991), post-docs at M.I.T. (Michael Jordan) and AT&T Bell Labs (Yann LeCun), CS professor at Université de Montréal, Canada Research Chair in Statistical Learning Algorithms, NSERC Chair, CIFAR Fellow, member of NIPS foundation board and former program/general chair, co-created ICLR conference, authored two books and over 300 publications, the most cited being in the areas of deep learning, recurrent networks, probabilistic learning, natural language and manifold learning. He is among the most cited Canadian computer scientists and is or has been associate editor of the top journals in machine learning and neural networks.