Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...