This is the first edition of the Annual Meeting of EMS-AI activity group on Scientific Machine Learning which aims at bringing together scientists from mathematics, computer science, and application areas working on computational and mathematical methods in Scientific Machine Learning.

This edition will feature 18 invited talks, as well as two industrial sessions, a roundtable discussion, and a poster session. Several colleagues from the Exa-MA project are set to attend the SCIML25 conference at Politecnico di Milano. Notably, our colleague Emmanuel Franck – leader of WP2 – is invited speaker. The conference, organized by Politecnico di Milano, promises to be a stimulating forum for discussing cutting-edge research in scientific machine learning, including both academia and industry. It will provide an excellent platform for exchanging ideas on topics such as optimal transport, AI, and high-performance computing, all of which are central to our project’s objectives