By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

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 ...

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 ...

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 journal Proceedings ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

Players had begun to wonder whether the robot enemies were using AI to learn new tactics based on player behaviour, but Embark has shot the theory down.

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, ...

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 ...