When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Machine learning could be used to help patients with schizophrenia, who often fear treatment due to stigma. Recent research ...

A team of young scientists paused their new physics searches to develop an innovative machine-learning tool, which is now ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Google Gemini: An AI chatbot by Google that functions similarly to ChatGPT but also pulls information from Google's other ...

The intricate dance of drug absorption within the human body is a marvel of biological engineering, but it also presents a ...

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...

“In each world we instructed the agent to pursue a set of distinct goals, which it aims to achieve by sending navigation ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...

Artificial Intelligence is a controversial subject—though not for railroads when it comes to safety, if used properly. The ...

Robo-advisors are automated investment platforms that use machine learning and algorithms to build and manage portfolios ...