Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

Two rival teams — one using machine learning, the other human eyes — race to find the first spacecraft to soft-land on the moon.

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...