Machine learning (ML) in chemistry is a very dynamic field of research that is characterised by strong interdisciplinarity. The aim of the symposium is to bring together leading scientists from various disciplines and to create a platform for an exchange on current research topics and challenges.

A particular focus of the symposium is on topics such as the interpretability of model predictions, the development of automated laboratories and the use of ML for the accelerated development of functional materials and drugs.