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. We are particularly interested in the following topics:
-
Boosting Scientific Simulation/Calculation with AI & ML
-
Responsible use and development of AI for science
-
Learning Scientific Meaningful Representations
-
Theory and Foundations
Invited Talks (In alphabetical order)
Important Dates (Anywhere on Earth)
- Abstract Deadline: May 16, 2022
- Submission Deadline: May 23, 2022
- Author Notification: June 13, 2022
Follow Us
Please follow us on Twitter & LinkedIn for updates; also join Slack for active discussions.
Organizers and Contact
Organizers are in the alphabetical order. For any question, please send us an email!