Singapore AI for Science Initiative

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Singapore AI for Science Initiative

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AI4SCIENCE AND NOBEL TURING Challenge INITIATIVE CONFERENCE

23-24 July 2024

Venue: UTown Auditorium 1, National University of Singapore, 1 Create Way, Level 1 Town Plaza, Singapore 138602

Opening remarks (Prof Tan Chorh Chuan)ProgramDirections

speakers

Animashree Anandkumar

Animashree Anandkumar

Animashree Anandkumar

Bren Professor of Computing and Mathematical Sciences

California Institute of Technology

David Baker

Animashree Anandkumar

Animashree Anandkumar

 Henrietta and Aubrey Davis Endowed Professor of Biochemistry

University of Washington

Weinan E

Animashree Anandkumar

Manish Gupta

Professor of Mathematics

Princeton University and Peking University

Manish Gupta

Hiroaki Kitano

Manish Gupta

Director

Google Research India

Ross King

Hiroaki Kitano

Hiroaki Kitano

Professor

University of Cambridge and Alan Turing Institute

Hiroaki Kitano

Hiroaki Kitano

Hiroaki Kitano

CEO

Sony AI

Tie-Yan Liu

Kostya Novoselov

Kostya Novoselov

Distinguished Scientist

Microsoft Research AI4Science

Kostya Novoselov

Kostya Novoselov

Kostya Novoselov

Tan Chin Tuan Centennial Professor

National University of Singapore

John Platt

Kostya Novoselov

John Platt

Distinguished Scientist

Google Research

Stan Posey

Sam Stanwyck

John Platt

Program Manager, Earth System Science and CFD Solutions Development

NVIDIA

Sam Stanwyck

Sam Stanwyck

Sam Stanwyck

Group Product Manager, Quantum Computing

NVIDIA

Lisa Strug

Sam Stanwyck

Sam Stanwyck

Professor of Statistical Sciences and Computer Science

University of Toronto

Makoto Taiji

Michael Williams

Zachary Ulissi

Team Leader

RIKEN Center for Biosystems Dynamics Research 

Zachary Ulissi

Michael Williams

Zachary Ulissi

Research Scientist

Meta Fundamental AI Research

Michael Williams

Michael Williams

Michael Williams

Professor of Physics

Massachusetts Institute of Technology

Stephen Wolfram

Stephen Wolfram

Michael Williams

Founder and CEO

Wolfram Research

Laura Wynter

Stephen Wolfram

Laura Wynter

Senior Manager

IBM Research

Tian Xie

Stephen Wolfram

Laura Wynter

Principal Research Manager

Microsoft Research

Katherine A. Yelick

Katherine A. Yelick

Katherine A. Yelick

 Robert S. Pepper Distinguished Professor of Electrical Engineering and Computer Sciences

University of California, Berkeley

ORGANIZING COMMITTEE

Assoc Prof Kedar Hippalgaonkar

Assoc Prof Kedar Hippalgaonkar

Assoc Prof Kedar Hippalgaonkar

 NTU/IMRE, A*STAR

Prof Yang Zhang

Assoc Prof Kedar Hippalgaonkar

Assoc Prof Kedar Hippalgaonkar

 NUS

Dr Hiroaki Kitano

Dr Hiroaki Kitano

Dr Hiroaki Kitano

 CEO, Sony AI

Dr Jun Seita

Dr Hiroaki Kitano

Dr Hiroaki Kitano

 RIKEN

The Joint AI for Science and Nobel Turing Challenge Conference represents an assembly of world leaders globally, to envision an ambitious convergence aimed at harnessing the potential of artificial intelligence to revolutionize the scientific discovery process. This conference is designed to foster collaboration and innovation at the intersection of ‘AI for Science’ development and the vision of the Nobel Turing Challenge, which seeks to develop autonomous systems capable of making groundbreaking scientific discoveries. By integrating AI's capabilities in data analysis, hypothesis generation, and experimental automation, the conference endeavors to pave the way for AI-driven advancements that could merit Nobel Prize recognition. 


The conference will feature a comprehensive agenda that includes keynote speeches from renowned leaders in the fields of AI and scientific research, panel discussions on the integration of AI technologies in science, and breakout sessions focused on specific challenges such as knowledge extraction from scientific literature, representation of scientific knowledge, mathematical and methods’ advancements in the pursuit of scientific discovery and the automation of experiments. A special emphasis will be placed on the development of closed-loop systems that facilitate the seamless transition from data acquisition to knowledge generation and verification, including in-silico emulator development in various fields, data, standards and benchmarks and grand challenges in various domains.


Scheduled to take place in Singapore on 23rd and 24th July 2024, the conference will offer participants the opportunity to engage with the world leaders, fostering a global dialogue on the future of scientific discovery. Interactive sessions will allow for deep dives into current advancements, potential high-impact targets, and the roadmap for AI in science. The conference aims not only to highlight current achievements and challenges but also to formulate a collaborative strategy for future research, with the ultimate goal of establishing a more expansive and inclusive forum for ongoing dialogue in this transformative field.


A list of possible topics includes, but is not limited to:

·  Integration of AI with scientific methodologies for breakthrough discoveries

·  Challenges and solutions in developing autonomous AI systems for science

·  Advances in knowledge extraction and processing from scientific publications

·  Techniques for the accurate representation of complex scientific knowledge

·  Strategies for automating hypothesis generation and verification processes

·  Role of AI in the automation of scientific experiments and data collection

·  Development of model-based active learning for uncovering latent structures

·  Utilizing AI for generating and evaluating reasoning in scientific hypotheses

·  Cross-disciplinary collaborations for enhancing AI's impact on science

·  Development of robust, interpretable, energy-efficient and scalable AI systems for scientific research

·  Overcoming data quality and accessibility challenges in scientific AI applications

·  The potential of AI in untapped areas of scientific research


Organizing committee:

Assoc Prof Kedar Hippalgaonkar (Nanyang Technological University and IMRE, A*STAR)

Prof Yang Zhang (National University of Singapore)

Prof Hiroaki Kitano (Sony AI and The Systems Biology Institute, Japan)

Prof Jun Seita (RIKEN, Japan)

Program

Address

UTown Auditorium 1, National University of Singapore, 1 Create Way, Level 1 Town Plaza, Singapore 138602

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