Understanding intelligence is one of the greatest scientific quests ever undertaken—a challenge that demands an interdisciplinary approach spanning psychology, neural science, philosophy, linguistics, data science, and artificial intelligence (AI). A focus on computation is at the center of this quest—viewing intelligence, in all of its forms, as a kind of sophisticated and adaptive computational process. But the kind of computation necessary for intelligence remains an open question; despite striking recent progress in AI, today's technologies provide nothing like the general-purpose, flexible intelligence that we have as humans.
We believe that intensifying the dialog between these fields is needed for transformative research on understanding and engineering intelligence, focused on two key questions: How can advances in machine intelligence best advance our understanding of natural (human and animal) intelligence? And how can we best use insights from natural intelligence to develop new, more powerful machine intelligence technologies that more fruitfully interact with us?
NYU Minds, Brains, and Machines is a new campus initiative to focus research and educational opportunities around these topics. The project was initiated by FAS Dean Antonio Merlo via a FAS-wide conference about the relationship between human and machine intelligence. Current priorities includes a hiring cluster which connects several academics units at NYU including Psychology, the Center for Data Science, the Center for Neural Science, and the Flatiron Institute.
The colloquium series for Fall 2021 showcases some of the most exciting work at the intersection of human and machine intelligence. Lectures will be held in person when possible.
|Tues, Oct 26, 11am-12:15pm||Kelsey Allen (DeepMind)||Zoom only|
|Tues, Nov, 2, 11am-12:15pm||Ishita Dasgupta (DeepMind)||Zoom only|
The Provost's office at NYU has approved a cluster hire aiming to build excellence in the area of Minds, Brains, and Machine. The cluster hire includes joint positions between various units at the center of this intellectual challenge including Psychology, the Center for Data Science, the Center for Neural Science, and the Flatiron Institute.
Here is a convenient listing of a few researchers working in this area along with a brief description of their research interests: