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 ...

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 ...

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 ...

U.S. Army Pacific (USARPAC) continues to operate in the strategically vital Indo-Pacific region; it has placed a strong emphasis on integrating cutting-edge technology to maintain military dominance ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

Scientists are exploring the potential of quantum machine learning. But whether there are useful applications for the fusion of artificial intelligence and quantum computing is unclear. Call it the ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...