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

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

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 ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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.

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the scientific journal ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...