新学術領域研究「人工知能と脳科学」では、両分野の先端を走る研究者を集め下記のとおり国際シンポジウムを開催致します。ただいまポスター発表の申込を受付中、参加登録（無料）は7月開始の予定です。みなさまふるってご参加ください。
We are pleased to announce a symposium that brings together researchers in the forefront of AI and neuroscience. Application for poster presentation is open till June 1st and general registration will start from July 1st, 2020.
International Symposium on Artificial Intelligence and Brain Science
Date: October 10-12 (Sat-Mon), 2020
Venue: Ito Hall, The University of Tokyo, Japan
Web site: http://www.brain-ai.jp/symposium2020/
Program (it may be held online depending on the COVID-19 situation)
• Saturday, October 10th (from 1pm)
Keynote: Josh Tenenbaum (MIT)
Session 1: Deep Learning and Reinforcement Learning
Yann LeCun (NYU, Facebook), Yutaka Matsuo (U Tokyo), Doina Precup (McGill U)
David Silver (DeepMind), Masashi Sugiyama (RIKEN AIP/U Tokyo IRCN)
• Sunday, October 11th
Session 2: World Model Learning and Inference
Ila Fiete (MIT), Karl Friston (UCL), Yukie Nagai (U Tokyo IRCN)
Maneesh Sahani (Gatsby Unit), Tadahiro Taniguchi (Ritsumeikan U)
Poster Session
Session 3: Metacognition and Metalearning
Matthew Botvinick (DeepMind), Ryota Kanai (ARAYA), Angela Langdon (Princeton U)
Hiroyuki Nakahara (RIKEN CBS), Xiao-Jing Wang (NYU)
• Monday, October 12th
Session 4: AI for Neuroscience and Neuromorphic Technologies
Jim DiCarlo (MIT), Yukiyaku Kamitani (Kyoto U), Rosalyn Moran (King’s College London)
Terry Sejnowski (Salk Institute), Hidehiko Takahashi (Tokyo MDU)
Session 5: Social Impact and Neuro-AI Ethics
Anne Churchland (CSHL), Kenji Doya (OIST), Arisa Ema (U Tokyo IFI)
Hiroaki Kitano (SONY CSL), Stuart Russell (UC Berkeley)
Poster Registration: May 11th - June 1st (review result notified by June 20)
General Registration: July 1st - 31st (or when the capacity is reached)
Please check the web site: http://www.brain-ai.jp/symposium2020/
Sponsor:
KAKENHI Project on Artificial Intelligence and Brain Science (http://www.brain-ai.jp<http://www.brain-ai.jp/>)
Co-sponsors:
RIKEN AIP (https://aip.riken.jp/?lang=en)
U Tokyo IFI (https://ifi.u-tokyo.ac.jp/en/)
U Tokyo IRCN (https://ircn.jp/en/)
Secretariat: ncus@oist.jp
