Past Events

Dan Mitropolsky is a postdoctoral fellow in the Miller and Poggio labs at MIT. His focus combines computer science with a study of the brain to understand what makes language and learning possible.

This panel will introduce some new simple foundational results in the theory of supervised learning. It will also discuss open problems in the theory of learning, including problems specific to neuroscience.

On November 4, 2024, the Quest hosted a day-long event, focussed on recent research in natural intelligence and current topics in AI.

Eran Malach is a research fellow at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, studying learning theory and computational aspects of learning and optimization.

"Learning to Reason": Noah Goodman is a Professor of Psychology and Computer Science at Stanford University. His research surrounds computational models of cognition, cognitive development and social cognition, and probabilistic programming languages.

Lorenzo Rosasco is an associate professor at the University of Genoa. His research is focused on theory and algorithms for machine learning.

"Conveying Tasks to Computers: How Machine Learning Can Help" Michael L. Littman, Ph.D. is a Professor of Computer Science at Brown University and Division Director of Infomation and Intelligent Systems at the National Science Foundation.

This research mission broadly aims to understand how children grasp new concepts from few examples, how children build upon layers of concepts to reach an understanding of the world and have the flexibility to solve an unbounded range of problems. Can we build AI that starts like a baby and learns like a child?