International Symposium on 
Artificial Intelligence and Brain Science 2020

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)
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