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.
- Rosa Cao, Assistant Professor of Philosophy at Stanford University
- Aude Oliva, Director, MIT-IBM Watson AI Lab at Massachusetts Institute of Technology
- Daniel Yamins, Assistant Professor of Psychology and Computer Science at Stanford University
- Moderated by Ida Momennejad, Senior Researcher at Microsoft Research
- Organized by Raphael Gerraty, Presidential Scholar in Society and Neuroscience at Columbia University
Free and open to the public, but RSVP is required via Eventbrite. Registered attendees will receive an event link shortly before the seminar begins.