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 ...

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 ...

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

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

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 ...

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 - ...

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.

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