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

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 ...

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

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 ...

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

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

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 search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

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

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 ...