About

For centuries, the method of discovery—the fundamental practice of science that scientists use to explain the natural world systematically and logically—has remained largely the same. Artificial intelligence (AI) and machine learning (ML) hold tremendous promise in having an impact on the way scientific discovery is performed today at the fundamental level. However, to realize this promise, we need to identify priorities and outstanding open questions for the cutting edge of AI going forward. Along with the identified gaps from the 1st AI4Science workshop held with NeurIPS last year, we are particularly interested in the following topics:

Invited Talks (In alphabetical order)

Anima Anandkumar

Anima Anandkumar
Caltech
AI, Chemistry

Anthony Gitter

Anthony Gitter
UW-Madison
AI, Biology

Carla P. Gomes

Carla P. Gomes
Cornell
AI, Sustainability

Rafael Gomez-Bombarelli

Rafael Gomez-Bombarelli
MIT
AI, Material

Jiequn Han

Jiequn Han
Flatiron Institute
AI, Mathematics

Daphne Koller

Daphne Koller
Insitro
AI, Drug

Jennifer Listgarten

Jennifer Listgarten
UC Berkeley
AI, Biology

Frank Noe

Frank Noe
FU Berlin
AI, Physics

Max Tegmark

Max Tegmark
MIT
AI, Physics

Important Dates (Anywhere on Earth)

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Organizers and Contact

Organizers are in the alphabetical order. For any question, please send us an email!