1st Workshop on Nobel Turing Challenge

Dates: April 21-22, 2022

Location: Zoom

https://groups.oist.jp/ja/obu/event/workshop-novel-turing-challenge

Day 1

Friday, April 21, 2022

Opening Keynote
The Vision and Strategy Behind the Nobel Turing Challenge
Prof. Hiroaki Kitano, The Systems Biology Institute, OIST

Recent Progress in Robot Scientist
Prof. Ross King, Chalmers University of Technology

Deep Reinforcement Learning, Knowledge Discovery, and Intelligence Measure
Dr. Shane Gu, Google Brain 

Towards Autonomous Robot Lab and The Levels of Autonomy of Scientific AI
Dr. Koichi Takahashi, RIKEN

Automated Science Approaches to Complex Biomedical Problems
Prof. Robert Murphy, Carnegie Mellon University

Self-driving Lab towards Autonomous Discovery of Materials​
Dr. Xenofon Evangelopoulos, The University of Liverpool

Day 2

Saturday, April 22, 2022

Taxila: Towards Platforms for Leveraging and Advancing Research on Hypothesis Generation from Text
Dr. Sucheendra Kumar Palaniappan, The Systems Biology Institute

Generating Hypotheses from Large-scale Biomedical Text
Dr. Uchenna Akujuobi, Sony AI

Large-scale Knowledge Assembly for Hypothesis Generation and Human-machine Interaction
Prof. Benjamin M. Gyori, Harvard Medical School

Human-like Representations and Reasoning for AI-driven Science
Prof. Kenneth D. Forbus, Northwestern University

Achieving Productive Aging: The Quest to Understand the Mechanism of Aging and Longevity in Mammals​
Prof. Shin-ichiro Imai, Washington University in St. Louis, School of Medicine

The Vision and Strategy Behind the Nobel Turing Challenge

Prof. Hiroaki Kitano

Recent Progress in Robot Scientist

Prof. Ross King

Deep Reinforcement Learning, Knowledge Discovery, and Intelligence Measure

Prof. Shane Gu

Automated Science Approaches to Complex Biomedical Problems

Prof. Robert Murphy

Taxila: Towards Platforms for Leveraging and Advancing Research on Hypothesis Generation from Text

Dr. Sucheendra Kumar Palaniappan

Generating Hypotheses from Large-scale Biomedical Text

Dr. Uchenna Akujuobi

Large-scale Knowledge Assembly for Hypothesis Generation and Human-machine Interaction

Prof. Benjamin M. Gyori

Human-like Representations and Reasoning for AI-driven Science

Prof. Kenneth D. Forbus