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 ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

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.

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

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...