プログラム
• 講演者の許可を得た講演動画、Discussion Sessionの動画は、Vimeo.からご視聴頂けます。
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• AIBSシンポジウム2020のSlackワークスペースは こちらからご覧いただけます。
• ポスターアブストラクト、ポスター、動画は こちらからご覧いただけます。
2020年10月10日(土) (JST 日本標準時 UTC+0900)
- 18:00
- Playback of Keynote lecture and Session 1 talks
- 22:00
- Get connected
- 22:15
- Greeting: Movie
Kenji Doya (Okinawa Institute of Science and Technology) - 22:30
- the Keynote lecture:
Josh Tenenbaum (Massachusetts Institute of Technology) Movie
“Building Machines That See, Think and Learn Like People”
- 23:00
- Discussion on Session 1 talks: Deep Learning and Reinforcement Learning Movie
- 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) Movie
“Self-Supervised Learning” - Yutaka Matsuo (The University of Tokyo) Movie
“World Model for Perception, Control and Language” - Doina Precup (McGill University) Movie
“Fast Reinforcement Learning with Generalized Policy Updates” - David Silver (DeepMind) Movie*
“Deep Reinforcement Learning from AlphaGo to AlphaStar” - Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project / The University of Tokyo International Research Center for Neurointelligence) Movie
“Recent Advances in Robust Machine Learning”
2020年10月11日(日) (JST 日本標準時 UTC+0900)
- 15:30
- Playback of Session 2 & 3 talks
- 22:00
- Discussion on Session 2 talks: World Model Learning and Inference Movie
- Chair: Hiroaki Gomi (NTT Communication Science Laboratories)
Discussant: Mitsuo Kawato (ATR)
- Ila Fiete (Massachusetts Institute of Technology) Movie
“Mixed Modular Codes and Remapping for Highly Generalizable Learning and Inference” - Karl Friston (University College London) Movie
“Active Inference and Artificial Curiosity” - Yukie Nagai (The University of Tokyo International Research Center for Neurointelligence) Movie
“Cognitive Development Based on Predictive Coding” - Maneesh Sahani (Gatsby Computational Neuroscience Unit) Movie*
“How Do Neural Systems Learn to Infer?” - Tadahiro Taniguchi (Ritsumeikan University) Movie
“Symbol Emergence in Robotics: Pursuing Integrative Cognitive Architecture Using Probabilistic Generative Models for Real-world Language Acquisition”
- 23:00
- Discussion on Session 3 talks: Metacognition and Metalearning Movie
- Chair: Masayuki Matsumoto (University of Tsukuba)
Discussant: Keiji Tanaka (RIKEN Center for Brain Science)
- Matthew Botvinick (DeepMind) Movie
“Object-oriented deep learning” - Ryota Kanai (ARAYA Inc.) Movie
“Consciousness and Intelligence” - Angela Langdon (Princeton University) Movie*
“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) Movie*
“Learning to Learn and the Brain”
2020年10月12日(月) (JST 日本標準時 UTC+0900)
- 15:30
- Playback of Session 4 & 5 talks
- 22:00
- Discussion on Session 4 talks: AI for Neuroscience and Neuromorphic Technologies Movie
- Chair: Takatoshi Hikida (Osaka University)
Discussant: Kunihiko Fukushimas (FLSI)
- James J. DiCarlo (Massachusetts Institute of Technology) Movie
“Reverse Engineering Visual Intelligence” - Yukiyasu Kamitani (Kyoto University) Movie*
“Reconstructing Visual and Subjective Experience from the Brain” - Rosalyn Moran (King’s College London) Movie
“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) Movie
“Artificial Intelligence Meets Human Intelligence” - Hidehiko Takahashi (Tokyo Medical and Dental University)
“Interface between AI and Psychiatry Research”
- 23:00
- Discussion on Session 5 talks: Social Impact and Neuro-AI Ethics Movie
- Chair: Masamichi Sakagami (Tamagawa University)
- Anne Churchland (University of California, Los Angeles) Movie
“Single-trial Neural Dynamics Are Dominated by Richly Varied Movements” - Kenji Doya (Okinawa Institute of Science and Technology) Movie
“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) Movie*
“Nobel Turing Challenge: A Grand Challenge on AI for Scientific Discovery” - Stuart Russell (University of California, Berkeley)
1. “Brains, Circuits, and Things” Movie
2. “Human Compatible Artificial Intelligence” Movie
