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

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

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 ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

And unlike traditional machine-learning, assisted-feature extraction in spectroscopy, the new method pinpoints phase transitions based on characteristic spectral features inside an energy gap, making ...

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

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way for greener building practices.