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 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 ...

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

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

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 ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

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

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

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Explore the fundamental role of mathematics in Artificial Intelligence and Machine Learning. Understand how linear algebra, ...