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

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

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

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

Overview:Machine learning bootcamps focus on deployment workflows and project-based learning outcomes.IIT and global programs provide flexible formats for appli ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.