Recent advances in “deep learning” realized artificial intelligence (AI) that surpasses humans in certain tasks like visual object recognition and game playing. Today’s AI, however, still lacks the versatility and flexibility of human intelligence, which motivates AI researchers to learn brain’s working principles. Neuroscientists also need helps of AI in making sense of massive data from sequencing, imaging, and so forth. The aim of this symposium is to bring together researchers advancing the forefront of AI and neuroscience to identify next targets in creating brain-like intelligence and further advancing neuroscience.
Saturday 10th October to Monday 12th October 2020
The University of Tokyo, Ito International Research Center, Ito Hall
7-3-1, Hongo, Bunkyou-ku, Tokyo ZIP 113-0033
Access Map is available here.
Kenji Doya (Okinawa Institute of Science and Technology)
Arisa Ema (The University of Tokyo Institute for Future Initiatives)
Karl Friston (University College London)
Takao Hensch (Harvard University / The University of Tokyo International Research Center for Neurointelligence)
Yutaka Matsuo (The University of Tokyo)
Masamichi Sakagami (Tamagawa University)
Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project / The University of Tokyo International Research Center for Neurointelligence)
Josh Tenenbaum (Massachusetts Institute of Technology)