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 ...

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 ...

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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

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 ...

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 ...

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

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

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 ...