Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

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 ...