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

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...

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

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, ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

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

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

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...