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

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 ...

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 ...

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

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.

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

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