We are currently in the midst of a revolution in artificial intelligence. Biologically-inspired deep neural networks have produced a dizzying array of engineering feats in just the past few years, meeting or exceeding human performance on tasks like object recognition, machine translation, video gameplay, and even disease diagnosis. Given this success, it is natural to ask whether artificial neural networks might have something to tell us about how our brains work. In this seminar, speakers working at the intersection of neuroscience, philosophy, and artificial intelligence will tackle this question, drawing on recent research that attempts to use artificial neural networks as models of the brain.

Featuring Rosa Cao, Assistant Professor of Philosophy, Stanford University, Aude Oliva, Director, MIT-IBM Watson AI Lab, Co-Director, MIT Quest for Intelligence, MIT, Daniel Yamins, Assistant Professor of Psychology and Computer Science, Stanford University, Moderated by Ida Momennejad, Senior Researcher, Microsoft Research, Organized by Raphael Gerraty, Presidential Scholar in Society and Neuroscience, Columbia University

This event is part of the Seminars in Society and Neuroscience series.