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, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm – hybrid AI – at a 2026 conference.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

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

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

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