TOP TOPICS "AI SUMMIT TOKYO" to be held

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Leap forward
from Shibuya
and move
the world

Hosting "AI SUMMIT TOKYO"

Dates:
April 9 (Wed), 10 (Thu), 11 (Fri), 2025
2025.03.09

At SAKURA DEEPTECH SHIBUYA in Tokyo's Shibuya district, we will host an event every other day that combines cutting-edge AI technology with entrepreneurial spirit, centered around three pillars:AI algorithms and ethics, society, and social implementation. Participants will explore the future of AI-powered business through lectures and workshops led by renowned speakers, and share innovative ideas during networking opportunities with fellow attendees.

Event Summary

Date & Time

Wednesday, April 9,2025; Thursday, April 10, 2025; Friday, April 11, 2025 (Doors open at 8:30 AM)

Form (something takes)

opposing (traffic, etc.)

Venue

SAKURA DEEPTECH SHIBUYA

organizing

Thinking About Thinking

Sponsor

CUDO COMPUTE

Speaker Information

  • AI and Cognitive Science Researcher at Harvard and MIT. MD PhD. Founder and President, Thinking About Thinking.
    Dr. Ruairidh Battleday
    Session Chair
    Session Chair
  • Google DeepMind
    Dr. Shane Gu
    From Passive General Intelligence to Active General Intelligence — The History of Generative AI
    From Passive General Intelligence to Active General Intelligence — The History of Generative AI
  • The University of Tokyo
    Professor Masanori Koyama
    What should AI imitate and reproduce?
    What should AI imitate and reproduce?
  • Araya Inc.
    Dr. Kai Arulkumaran
    AI Inspired by Neuroscience: Reinforcement Learning and Consciousness
    AI Inspired by Neuroscience: Reinforcement Learning and Consciousness
  • OIST & Harvard University
    Dr. Lucy Lai
    Session Chair
    Session Chair
  • RIKEN Center for Advanced Intelligence Project (AIP)
    Dr. Emtiyaz Khan
    Adaptive Intelligence
    Adaptive Intelligence
  • Integral AI
    Dr. Jad Tarifi
  • Cohere
    Dr. Sam Passaglia
  • RIKEN Center for Brain Science
    Dr. Taro Toyoizumi
    Modeling the mechanisms of abstraction and probability as perceived by the brain
    Modeling the mechanisms of abstraction and probability as perceived by the brain
  • Beijing Normal University
    Professor Yunzhe Liu
    Interpretation of Sleep Activity via Neural Contrast Learning
    Interpretation of Sleep Activity via Neural Contrast Learning
  • Stanford & Oxford
    Dr. James Whittington

    The Tale of Two Algorithms: Structural Slots in the Prefrontal Cortex and Cognitive Maps in the Hippocampus

    The Tale of Two Algorithms: Structural Slots in the Prefrontal Cortex and Cognitive Maps in the Hippocampus
  • Google Research
    Dr. Jiaxian Guo
    Overview of the Efficiency of Large Language Models
    Overview of the Efficiency of Large Language Models
  • University of Tokyo
    Dr. Yuzuke Iwasawa
    Session Chair
    Session Chair
  • Principal at UTEC
    Kiran Mysore
  • Noeon Research
    Andrey Filchenkov
  • NTNU & UC Berkeley
    Nicolay Hagen
    Session Chair
    Session Chair
  • Rakuten, Cambridge
    Dr. Colin Rowat
    Interpretability and Explainability in Machine Learning and AI: An Overview and Several Questions
    Interpretability and Explainability in Machine Learning and AI: An Overview and Several Questions
  • Citadel AI, formerly of Google Brain
    Kenny Song
    A Guide to Trustworthy AI
    A Guide to Trustworthy AI
  • McGill University & Thinking About Thinking
    Professor Skyler Wang

    Secondary Effects of AI

    Secondary Effects of AI
  • Google Health
    Dr. Joe Ledsam
    Innovations and Challenges in AI for Healthcare
    Innovations and Challenges in AI for Healthcare
  • University of Tokyo, RIKEN
    Professor Arisa Ema
    An Interdisciplinary Approach to AI Governance
    An Interdisciplinary Approach to AI Governance
  • Kimaru AI
    Evan Burkosky
  • Waseda University
    Professor Toshie Takahashi
  • Head of the Global Partnership for Artificial Intelligence Initiative at the National Institute of Information and Communications Technology
    Professor Yuko Harayama
    AI and Human Society: From the Perspective of Society 5.0
    AI and Human Society: From the Perspective of Society 5.0
  • Avalon Insights
    Kevin Loi-Heng
  • Coral Capital
    Tiffany Kayo
  • Kotoba Tech
    Dr. Jungo Kasai
  • University of Tokyo
    Professor Yukie Nagai
  • Deputy Director for Innovation Policy, Cabinet Office, Government of Japan
    Sho Ito
  • Founder, Tokyo AI (TAI)
    Ilya Kulyatin
  • Braid Technologies
    Elizabeth Oda
  • Recursive
    Dr. Tiago Ramalho
  • Tektome Inc.
    Francis Hamilton
  • Para
    Dr. Qi Chen
  • Neutone
    Dr. Andrew Fyfe
  • Stockmark
    Kosuke Arima
  • Google DeepMind
    Dr. Conglong Li
    Session Chair
    Session Chair
  • Cisco, Robust Intelligence
    Takahiro Matsumoto
    AI × Security ― Security that protects AI, AI that supports security
    AI × Security ― Security that protects AI, AI that supports security
  • Preferred Networks
    Dr. Daisuke Okanohara
  • Metagov
    Dr. Joshua Tan
    Airbus for AI
    Airbus for AI
  • Princeton University
    Dr. Nick McGreivy
    AI for Science: Five Lessons I Learned During My PhD
    AI for Science: Five Lessons I Learned During My PhD
  • SakanaAI
    Robert Lange
    AI Scientist v2: Automating Scientific Discovery with Agent Tree Search (Workshop Level)
    AI Scientist v2: Automating Scientific Discovery with Agent Tree Search (Workshop Level)
  • Adjunct Professor, Okinawa Institute of Science and Technology Graduate University (OIST)
    Professor Hiroaki Kitano
  • NexaScience
    Dr. Yoshitaka Ushiku

timetable

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