Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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 ...

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

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

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

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

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