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Nobel Turing Challenge Hiroaki Kitano The Systems Biology Institute Sony Computer Science Laboratories, Inc.

Nobel Turing Challenge - OECD

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Page 1: Nobel Turing Challenge - OECD

Nobel Turing Challenge

Hiroaki Kitano The Systems Biology Institute

Sony Computer Science Laboratories, Inc.

Page 2: Nobel Turing Challenge - OECD

Can we build machines that can win the

Nobel Prize?

Photo by Hiroaki Kitano, 2002

By 2050, develop AI systems that can make

major scientific discoveries that worth Nobel

Prize in Physiology and Medicine

Page 3: Nobel Turing Challenge - OECD

Intelligence

Au

ton

om

y

Nobel Turing Challenge

AI Assistant for Scientific Discovery

Current Status

Alfred Nobel Alan Turing

The Turing Test at the Nobel-

quality scientific activities

Page 4: Nobel Turing Challenge - OECD

Grand Challenges in AI

1997 Chess 2014 Shogi 2016 Go

Complete Information Problem

Massive Data

Massive Computing

Advanced Machine Learning

Page 5: Nobel Turing Challenge - OECD

Process of Scientific Discovery

Serendipity

By Accident

Scientific Intuition

Page 6: Nobel Turing Challenge - OECD

6 Photo by Hiroaki Kitano, 2010

Scientific discovery is at pre-

industry revolution level

Page 7: Nobel Turing Challenge - OECD

8

Oda and Kitano, Molecular Systems Biology, 2006

Page 8: Nobel Turing Challenge - OECD

50

Page 9: Nobel Turing Challenge - OECD

We are terribly bad in understanding behaviors of systems

that are high-dimensional and non-linear

Page 10: Nobel Turing Challenge - OECD

Limits of human cognition

Page 11: Nobel Turing Challenge - OECD

12

Moonshot

Page 12: Nobel Turing Challenge - OECD

Redefining Scientific Discovery

Massive search and verification of

hypotheses space

13

How efficiently can we execute?

What are science specific constraints?

What is computational definition of “Serendipity”?

Page 13: Nobel Turing Challenge - OECD

Capability to recognize

patterns that human cannot

recognize

14

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15

大規模データと機械学習、知識発見を前提とした医療へ

Deep Clinical Phenotyping

Page 15: Nobel Turing Challenge - OECD

Unsupervised learning for patient stratification

Page 16: Nobel Turing Challenge - OECD

Unsupervised learning for patient stratification

outliers

In transition?

anything special?

RA Patient Data from Univ.

Tokyo Hospital

Page 17: Nobel Turing Challenge - OECD

Capability to perform high-

precision experiments that

human cannot carry out

18

Page 18: Nobel Turing Challenge - OECD

Two Arms Robot for Lab

19

Crowd Robotics Consortium

Page 19: Nobel Turing Challenge - OECD

Machine Creativity?

Capability to explore

hypotheses that human

cannot imagine

Page 20: Nobel Turing Challenge - OECD
Page 21: Nobel Turing Challenge - OECD

Human played games

Possible moves based on past human played games

All possible moves on GO

Page 22: Nobel Turing Challenge - OECD

Human played games

Possible moves based on past human played games

All possible moves on GO

Tabula rasa based generation of games

AlphaGo Zero

AlphaGo

Page 23: Nobel Turing Challenge - OECD

25

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The Beatles The Beatles Style

Music

Page 26: Nobel Turing Challenge - OECD

28

Page 27: Nobel Turing Challenge - OECD

Discovered knowledge Human discoverable knowledge

Scientific truth

Page 28: Nobel Turing Challenge - OECD

Discovered knowledge Human discoverable knowledge

Scientific truth

Knowledge that human may to be able to

generate and understand

Page 29: Nobel Turing Challenge - OECD

Evolution of Human civilization is

evolution of tools

Industrial Revolution Borns and Stones

Information Revolution AI: Machines that think

Machines that Creates

Knowledge