Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

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 ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

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.

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

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 ...

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 ...

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 ...

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

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