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 ...

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 — ...

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 ...

IIM Madras Free Online Course 2026: Learners who wish to receive a certificate must register for the exam scheduled on April ...

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 ...

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 ...

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 ...

In five years of writing for various audiences, Uche has learned to simplify career-focused content for ambitious learners regardless of their qualifications. Her work is published in notable ...

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