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

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

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 ...

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 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 ...

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.

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