The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

From Thursday, 30 October to Tuesday, 4 November 2025, the PhoenixD Cluster of Excellence at Leibniz University Hannover and Heidelberg University will jointly host the 1 st workshop on Photonic ...

Identify common features of best-in-class AI/ML methods for science Characterize approaches for rigorous investigation into complex systems and associated science problems Explore engineered systems ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...