Program

• The movies of lectures (upon approval by the speaker) and discussions are available from Vimeo.
• Registered participants can access all the lecture movies from the Slack channels and post questions and comments.
• Poster sessions, reception, banquet, and round-table are cancelled. You can find the abstracts and optional links to poster and movie files here.

Saturday, October 10 (time in UTC)

9:00: Playback of Keynote lecture and Session 1 talks
13:00: Get connected
13:15: Greeting:
Kenji Doya (Okinawa Institute of Science and Technology)
13:30: Discussion on the Keynote lecture:
Josh Tenenbaum (Massachusetts Institute of Technology)
“Building Machines That See, Think and Learn Like People”

14:00: Discussion on Session 1 talks: Deep Learning and Reinforcement Learning; Chair: Jun Morimoto (ATR Brain Information Communication Research Laboratory Group)
Discussant: Shun-ichi Amari (RIKEN Center for Brain Science)

Yann LeCun (Facebook AI Research & New York University)
“Self-Supervised Learning”
: Yutaka Matsuo (The University of Tokyo)
“World Model for Perception, Control and Language”
: Doina Precup (McGill University)
“Fast Reinforcement Learning with Generalized Policy Updates”
: David Silver (DeepMind)
“Deep Reinforcement Learning from AlphaGo to AlphaStar”
: Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project / The University of Tokyo International Research Center for Neurointelligence)
“Recent Advances in Robust Machine Learning”

Sunday, October 11 (time in UTC)

6:30: Playback of Session 2 & 3 talks
13:00: Discussion on Session 2 talks: World Model Learning and Inference
: Chair: Hiroaki Gomi (NTT Communication Science Laboratories)
Discussant: Mitsuo Kawato (ATR)

Ila Fiete (Massachusetts Institute of Technology)
“Mixed Modular Codes and Remapping for Highly Generalizable Learning and Inference”
: Karl Friston (University College London)
“Active Inference and Artificial Curiosity”
: Yukie Nagai (The University of Tokyo International Research Center for Neurointelligence)
“Cognitive Development Based on Predictive Coding”
: Maneesh Sahani (Gatsby Computational Neuroscience Unit)
“How Do Neural Systems Learn to Infer?”
: Tadahiro Taniguchi (Ritsumeikan University)
“Symbol Emergence in Robotics: Pursuing Integrative Cognitive Architecture Using Probabilistic Generative Models for Real-world Language Acquisition”

14:00: Discussion on Session 3 talks: Metacognition and Metalearning; Chair: Masayuki Matsumoto (University of Tsukuba)
Discussant: Keiji Tanaka (RIKEN Center for Brain Science)

Matthew Botvinick (DeepMind)
“Object-oriented deep learning”
: Ryota Kanai (ARAYA Inc.)
“Consciousness and Intelligence”
: Angela Langdon (Princeton University)
“Model-based Reward Prediction: Algorithms for Learning to Represent a Task”
: Hiroyuki Nakahara (RIKEN Center for Brain Science)
“Neural Computations for Making Decisions with Others’ Rewards and Decisions”
: Xiao-Jing Wang (New York University)
“Learning to Learn and the Brain”

Monday, October 12 (time in UTC)

6:30: Playback of Session 4 & 5 talks
13:00: Discussion on Session 4 talks: AI for Neuroscience and Neuromorphic Technologies; Chair: Takatoshi Hikida (Osaka University)
Discussant: Kunihiko Fukushimas (FLSI)

James J. DiCarlo (Massachusetts Institute of Technology)
“Reverse Engineering Visual Intelligence”
: Yukiyasu Kamitani (Kyoto University)
“Reconstructing Visual and Subjective Experience from the Brain”
: Rosalyn Moran (King’s College London)
“The Free Energy Principle and Active Inference in Silico and in Vivo, Visual Sampling and ‘World Model’ Building”
: Terrence Sejnowski (Salk Institute & Univesity of California San Diego)
“Artificial Intelligence Meets Human Intelligence”
: Hidehiko Takahashi (Tokyo Medical and Dental University)
“Interface between AI and Psychiatry Research”

14:00: Discussion on Session 5 talks: Social Impact and Neuro-AI Ethics; Chair: Masamichi Sakagami (Tamagawa University)

Anne Churchland (University of California, Los Angeles)
“Single-trial Neural Dynamics Are Dominated by Richly Varied Movements”
: Kenji Doya (Okinawa Institute of Science and Technology)
“Toward the Society of AI Agents: What Should We Learn from the Brain and Human Society”
: Arisa Ema (The University of Tokyo Institute for Future Initiatives)
“‘Interpretative Flexibility’ in AI and Neuroscience Research”
: Hiroaki Kitano (Okinawa Institute of Science and Technology)
“Nobel Turing Challenge: A Grand Challenge on AI for Scientific Discovery”
: Stuart Russell (University of California, Berkeley)
1. “Brains, Circuits, and Things”
2. “Human Compatible Artificial Intelligence”