Thiaw, D. , Wade, A. , Sall, M. , Diouf, S. and Dieye, G. (2026) Utilization of Eggshells Waste as an Additive to Improve the Mechanical Properties of Clays. Journal of Minerals and Materials ...

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

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Indian American researcher Meha Jain has won the inaugural ASU-Science Prize for Transformational Impact for her research ...

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 ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

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, ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia ...

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 ...