The fields of neuroscience and AI have undergone significant transformation over the last ten years, thanks in large part to a rapid expansion in technological capacities that are permitting ever more complex experiments and computations to be carried out. Brain-like computing is becoming common in artificial intelligence and machine learning. But can brains and machines think alike?
How will neuroscience and AI shape each other’s futures?
This is a crucial question as our understanding of the brain increases, and the AI in our devices and machines increasingly permeate society, business and the economy. To map the road ahead, this symposium will gather global leaders in both neuroscience and artificial intelligence. Speakers will not only describe their work, but also share their thoughts on the best path going forward. A preliminary program is below.
The meeting is supported by the NYU Global Institutes for Advanced Study, which provides free registration for anyone who works at a university or other non-profit organization. To be admitted free of charge, you will need to register and to present an active photo ID from a qualifying organization. Other attendees are also welcome; the registration fee is $100.
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7 pm — Session 1 — Brains and machines
David Heeger, NYU
Eve Marder, Brandeis
Yoshua Bengio, Université de Montréal
8 am — Session 2 — Biological and artificial mechanisms
Blaise Agüera y Arcas, Google
Mu-ming Poo, Chinese Academy of Sciences
Terry Sejnowski, Salk Institute
10.30 am — Session 3 — Action
Leslie Pack Kaelbling, MIT
Daniel Wolpert, Cambridge
Matteo Carandini, UCL
2 pm — Session 4 — Cognition
Stanislas Dehaene, Collège de France
Anne Churchland, Cold Spring Harbor Laboratories
Matthew Botvinick, DeepMind
4.30 pm — Session 5 — Navigation
David Tank, Princeton
Ila Fiete, University of Texas, Austin
May-Britt Moser, Norwegian University of Science and Technology
8 am — Session 6 — Vision 1
Yann LeCun, Facebook
Jim DiCarlo, MIT
Eero Simoncelli, NYU
10.30 am — Session 7 — Vision 2
Adrienne Fairhall, University of Washington
Nicole Rust, University of Pennsylvania
Shimon Ullman, Weizmann Institute of Science
2 pm — Session 8 — Learning 1
Kenji Doya, Okinawa Institute of Science and Technology
Zach Mainen, Fundação Champalimaud
Upi Bhalla, Tata Institute of Fundamental Research
4.30 pm — Session 9 — Learning 2
Greg Corrado, Google
Josh Tenenbaum, MIT
Larry Abbott, Columbia