Research Challenges in Computing – Shandian Zhe

Shandian Zhe
Associate Professor

AI for Science: A Brief Overview and Reflections

AI for science is rapidly emerging as a vital interdisciplinary research field that bridges scientific computing, physical modeling, numerical simulation, and data-driven machine learning. In this talk, we will explore recent advancements in AI for science, focusing on foundational perspectives. Specifically, we will discuss machine learning-based numerical solvers, data-driven operator learning, and symbolic regression. We will also share our insights on these methods and our vision for future developments in this exciting area.