Artificial intelligence and machine learning are rapidly finding their way into the natural sciences, where they are applied for the analysis of research data, finding patterns and making predictions. At the same time, research topics and methodologies initiate the study and development of new machine learning algorithms. The co-development of both fields is self-catalyzed by the shared interest in building accurate models and distribution functions of the highly complex phenomena of nature.

The aim of this AI4Science Symposium was three-fold: (1) show-case recent progress of artificial intelligence for scientific discovery within the different FNWI research institutes and outside, (2) bring AI experts and scientists together to exchange ideas, and (3) explore possibilities for new collaborations, research projects, and funding opportunities.

Six scientists connected to the different FNWI institutes gave lectures on how artificial intelligence is advancing their scientific research. During the poster sessions, young and senior researchers presented their results and discuss opportunities for AI models or scientific research. The symposium concluded with drinks and snacks.

The symposium was open to everyone with an interest in artificial intelligence for scientific discovery.

Impression

Opening of the AI4Science Symposium by our directors Patrick Forré (right) and Bernd Ensing (left)

Poster presentations

More poster presentations

Program:

Organisers

• Patrick Forré
• Bernd Ensing

Sponsors

The AI4Science Lab thanks CECAM, and in particular the CECAM-NL node, for financial support of the AI4Science Symposium.