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 ...

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. A new field promises ...

A team of researchers has built one of the most detailed open maps of emerging technologies yet assembled, allowing ...

Claire Dennis, a graduate student in the Princeton School of Public and International Affairs, is steeping herself in math and computer code this spring. While she plans to enter the world of policy — ...

Machine learning isn't a predictive tool. It is however a great way to analyze a lot of data and an efficient way to learn about repetitive behavior. Take two astrophysicists, an Apollo engineer, a ...

Trading used to be about gut feelings and reading charts. Traders sat at desks watching screens, trying to spot patterns that ...

PHOENIX--(BUSINESS WIRE)--Krithik Ramesh, 16, of Greenwood Village, Colorado, was awarded first place for developing a machine learning technology for orthopedic surgeons at this year’s Intel ...

For mathematicians and computer scientists, this was often a year of double takes and closer looks. Some reexamined foundational principles, while others found shockingly simple proofs, new techniques ...

"It's an arms race to be able to consume the right kind of data in the right kind of way to be able to make the right ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...