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 ...

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

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, ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Artificial Intelligence has reached a point where machines don’t just follow instructions—they “pick up” patterns and behaviors by watching examples, much like humans do. This phenomenon is known as ...

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

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

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

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

Computer vision researchers use machine learning to train computers in visually recognizing objects but very few apply machine learning to mechanical parts, such as gearboxes, bearings, brakes, ...

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.