Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

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

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

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

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...

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

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 ...