Scientific Machine Learning

Empowering Natural Intelligence with Artificial Intelligence: a Mathematician's Perspective

Alfio Quarteroni, Emeritus Professor, Politecnico di Milano and EPFL

Jan 25, 14:00 - 15:00

B9, L2, R2322

Computational mathematics numerical methods Scientific Machine Learning scientific computing applied mathematics

Abstract Over recent decades, computational models grounded in physical laws have profoundly transformed our ability to understand and predict complex phenomena in the natural world. By providing a rigorous framework in which scientific insight and technological innovation can flourish, these models embody what may be called "natural intelligence": the cumulative result of centuries of scientific reasoning, mathematical structure and physical understanding. This lecture begins by illustrating how this paradigm has shaped modern computational science through selected examples. We will discuss