Uploaded November 2024 | Updated September 2026, 1 week ago
In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need.
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.
Moderator: Tomaso Poggio - Professor of Brain and Cognitive Sciences, MIT
Panelists:
Ila Fiete - Professor of Brain and Cognitive Sciences, MIT
Haim Sompilinski - Professor of Molecular and Cellular Biology and of Physics, Harvard University
Eran Malach - Research fellow, Kempner Institute at Harvard University
Philip Isola - Associate Professor, EECS at MIT
In a society that is confronting the new age of AI in which LLMs begin to display aspects of human intelligence, understanding the fundamental theory of deep learning and applying it to real systems is a compelling and urgent need.
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.
Moderator: Tomaso Poggio - Professor of Brain and Cognitive Sciences, MIT
Panelists:
Ila Fiete - Professor of Brain and Cognitive Sciences, MIT
Haim Sompilinski - Professor of Molecular and Cellular Biology and of Physics, Harvard University
Eran Malach - Research fellow, Kempner Institute at Harvard University
Philip Isola - Associate Professor, EECS at MIT
