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:
Solving grand challenges in structural biology
Scaling dynamical system modeling to millions of particles
Visualizing the unimaginable black hole
Incorporating physical insights to AI methods
Accelerating drug discovery pipeline
We welcome people with diverse background and level of experience to attend our workshop. The attendance is not contingent upon paper submission. Consider to apply for a travel award.
Please follow us on Twitter and LinkedIn for the latest news, or join us on the Slack for active discussions.
Tentative Important Dates (Anywhere on Earth)
- Abstract Deadline: May 25, 2023
- Submission Deadline: June 02, 2023
- Author Notification: June 22, 2023
- Travel Award Application: July 7st, 2023
- Conference Date: July 23 – 29, 2023
- Workshop Date: 08:00 AM – 06:00 PM, July 29, 2023
Please submit your paper in Openreview. Our workshop is nonarchival, the accepted papers will be posted on our website.
Organizers and Contact
Organizers are in the alphabetical order. For any question, please contact firstname.lastname@example.org.