AI & Science Panel
Wednesday, August 6th, 8:45 AM- 10:15 AM
Abstract
Artificial Intelligence (AI) is rapidly reshaping the landscape of scientific discovery by enabling the development of novel models that tackle complex, data- and computation-intensive problems. Scientific challenges, in turn, provide rich, use-inspired settings that push the boundaries of AI research. This virtuous cycle is increasingly driven by cross-disciplinary collaboration, where advances in AI and domain sciences co-evolve to accelerate innovation. In this plenary panel, we will examine the opportunities and challenges in designing cutting-edge AI models for scientific discovery, and highlight the transformative potential of cross-disciplinary partnerships in shaping the future of both AI and science.

Wei Wang
UCLA

Jennifer Dy
Northeastern University

Ian Foster
University of Chicago & Argonne National Laboratory

Tanya Berger-Wolf
Ohio State University

Madhav Marathe
University of Virgina
