Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Lei Fang, assistant professor in the Department of Civil and Environmental Engineering at the University of Pittsburgh ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Today the world of Egyptology faces a silent crisis – not of looting, although that plays a part, but of disconnection. Walk into any major museum, from Copenhagen to California, and you see glass ...

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by differences in social interactions and in the understanding of others' thoughts or feelings, restricted interests and ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than it sounds. Memory storage, information processing, and energy use in these ...

This visualization shows moderately large pressure fluctuations within a 35-trillion-grid-point turbulence simulation, ...

Find out why the most important career in the 2026 AI revolution is data engineering. Discover the technologies that drive ...

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer's brain in an ...

Often, the most impactful technologies aren’t the ones that bring shock or delight, but the ones that have become so integrated that they are nearly undetectable. They become quiet.