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

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 ...

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

Cisco is hiring an AI Process Automation Expert to lead the design, development, and deployment of intelligent automation solutions across enterprise workflows.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

When job vacancies are extremely scarce, the best way for jobseekers to become more employable is to build new skills and ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...