Artificial Intelligence
Machine learning and artificial intelligence (AI) aim to create algorithms that solve difficult problems and simulate complex intelligent behavior. Many of these algorithms are based on findings and theory from the study of the brain and mind.
Recent rapid advances in these fields have seen the creation of algorithms and agents that can—finally—solve complex real-world problems across a wide range of domains. What are these advances, and how can we take them further? What remains beyond their capacity, and how can we overcome that? What might forever lie beyond their capabilities—or will anything?
Session Chairs
Michael Lepori (Brown University)
Keynote Talks
Professor Jay McClelland (Director, Center for Mind, Brain, Computation and Technology, Stanford)
Professor Jakob Foerster (University of Oxford)