The 1st Workshop on Nobel Turing Challenge

Date

Thursday, April 21, 2022 - 19:00 to Friday, April 22, 2022 - 23:00

Location

Zoom

Description

Title

Workshop on Nobel Turing Challenge

Abstract

The Nobel Turing Challenge is a grand challenge aiming at developing a highly autonomous AI and robotics system  that can make major scientific discoveries, some which may be worthy of the Nobel Prize and even beyond. Accomplishing this challenge requires a development of a series of technologies and in-depth understanding on the process of scientific discoveries. From the system development perspective the challenge is to make a closed-loop system from knowledge acquisition and hypothesis generation and verification to full automation of experiments and data analytics.

This series of workshops aims to discuss a process of scientific discovery and how AI can make it happen highly autonomously to yield high impact discoveries. The first workshop will focus on sharing the current status of the field, and discuss what are possible high impact targets.

Vast scientific knowledge is recorded in publications described using natural language that is at best informal and less precise form of communication. The process of how knowledge can be acquired from publications, databases, and other sources and how hypotheses can be generated and tested. Not only does it lack precision due to the inherent nature of human language behaviors, it may contain errors, fabrications, and other issues that undermine the integrity of the body of knowledge. A series of challenges is envisioned that are:

Extraction of knowledge from a body of publications
Accuracy evaluation and maintenance of integrity while allowing options for revision
Generation of hypotheses from the body of knowledge
Generation of reasoning to support and refute generated hypothesis
Formation of potentially multiple self-consistent system of knowledge that can be resolved by specific series of tests

On the automation front, development of fully connected laboratory and data analysis pipelines are essential. How can this be linked with hypothesis generation? How automation of experiments improve precision of the experiments, as well as accelerate the speed of discoveries? How can we combine a variety of experimental devices and enable flexible protocol generation and execution.?
This is not just automation of laboratories. It is the automation of science.

This workshop is designed to be a small and intense forum of those who have a vision and experiences on the related subjects. We are expecting that this workshop will be the stepping stone for creation of the larger and more comprehensive forum of the field.

Date

21st and 22nd, April 2022

Registration

Registration is required to attend this event. Registration for participation Deadline:20th April 2022

Please register from below link. After you register, the zoom link to join this workshop will be informed by email.

Register

https://oist.zoom.us/meeting/register/tJ0sdO6gqzktH93skRikJR8zQHj1v97La5N_

If you need technical assistance for Zoom operation, the operation committee will assist you individually. Please inform us in advance at iosu-workshop@oist.jp

Workshop Program

Day 1: April 21st (scheduled time in JST)

  19:00 - 19:10   Opening and housekeeping
  19:10 - 19:35 (19:40)   Opening Keynote
The Vision and Strategy Behind the Nobel Turing Challenge

Prof. Hiroaki Kitano, The Systems Biology Institute, OIST
  19:40 - 20:05 (20:10)   Recent Progress in Robot Scientist
Prof. Ross King, Chalmers University of Technology
  20:10 - 20:35 (20:40)   Deep Reinforcement Learning, Knowledge Discovery, and Intelligence Measure
Dr. Shane Gu, Google Brain 
  20:40 - 21:05 (21:10)   Towards Autonomous Robot Lab and The Levels of Autonomy of Scientific AI
Dr. Koichi Takahashi, RIKEN
  21:10 - 21:20   Break
  21:20 - 21:45 (21:50)   Automated Science Approaches to Complex Biomedical Problems
Prof. Robert Murphy, Carnegie Mellon University
  21:50 - 22:15 (22:20)   Self-driving Lab towards Autonomous Discovery of Materials​
Dr. Xenofon Evangelopoulos, The University of Liverpool
  22:20 - 23:00   Wrap up

Day2: April 22nd (scheduled time in JST)

  19:00 - 19:10   Opening and housekeeping
  19:10 - 19:35 (19:40)   Taxila: Towards Platforms for Leveraging and Advancing Research on Hypothesis Generation from Text
Dr. Sucheendra Kumar Palaniappan, The Systems Biology Institute
  19:40 - 20:05 (20:10)   Generating Hypotheses from Large-scale Biomedical Text
Dr. Uchenna Akujuobi, Sony AI
  20:10 - 20:35 (20:40)   Large-scale Knowledge Assembly for Hypothesis Generation and Human-machine Interaction
Prof. Benjamin M. Gyori, Harvard Medical School
  20:40 - 21:00   Break
  21:00 - 21:25 (21:30)   Human-like Representations and Reasoning for AI-driven Science
Prof. Kenneth D. Forbus, Northwestern University
  21:30 - 21:55 (22:00)   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
  22:00 - 23:00   Wrap up discussions or more talks

Download program

Speakers

 

Prof. Hiroaki Kitano

The Systems Biology Institute, OIST

The Vision and Strategy Behind the Nobel Turing Challenge

 

Prof. Ross King

Chalmers University of Technology

Recent Progress in Robot Scientist
  Dr. Shane Gu Google Brain Deep Reinforcement Learning, Knowledge Discovery, and Intelligence Measure
  Dr. Koichi Takahashi RIKEN Towards Autonomous Robot Lab and The Levels of Autonomy of Scientific AI
  Prof. Robert Murphy Carnegie Mellon University Automated Science Approaches to Complex Biomedical Problems
  Dr. Xenofon Evangelopoulos The University of Liverpool Self-driving Lab towards Autonomous Discovery of Materials
  Dr. Sucheendra Kumar Palaniappan The Systems Biology Institute Taxila: Towards Platforms for Leveraging and Advancing Research on Hypothesis Generation from Text,
  Dr. Uchenna Akujuobi​ Sony AI Generating Hypotheses from Large-scale Biomedical Text
  Prof. Benjamin M. Gyori

Harvard Medical School

Large-scale Knowledge Assembly for Hypothesis Generation and Human-machine Interaction
  Prof. Kenneth D. Forbus Northwestern University Human-like Representations and Reasoning for AI-driven Science
  Prof. Shin-ichiro Imai​ Washington University in St. Louis, School of Medicine Achieving Productive Aging: The Quest to Understand the Mechanism of Aging and Longevity in Mammals

 

The 1st Workshop on Nobel Turing Challenge is jointly organized by The Systems Biology Institute (SBI) and Okinawa Institute of Science and Technology Graduate University (OIST).

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