Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

If built, the 14-building complex would require 1,000 megawatts of power – or enough electricity to power roughly 500,000 homes. The amount of water the data center complex would need is less clear.

In this part of our series, we look under the hood of the modern hyperscale data centre. It is no longer just a room of ...

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

Northern Nevada has attracted investments from several tech companies looking to expand their data infrastructure, and while many of those data centers are located in and around Reno, tech companies ...

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

Meta’s $10 billion Indiana campus and Nebius’ 240 MW expansion in northern France — show that AI infrastructure has entered a ...

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues before they occur ...