This event is an opportunity for scientists and researchers to gather, discuss, and collaborate on the latest advancements in scientific machine learning.

SciML is a relatively new research field that combines machine learning (ML) and scientific computing to develop robust, reliable, and interpretable methods for solving complex problems like multidimensional partial differential equations, parameter identification, and inverse problems.

Highlights of the event:
🔸Introduction to the mathematical concepts lying at the foundation of machine learning as used in scientific computing;
🔸Overview of the different approaches developed to address these problems;
🔸Insight on the latest numerical tools in scientific machine learning and data inclusion for the solution of PDEs.