One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National ...

ORNL developed a machine learning model for grid technology with under 5% error, ensuring accurate power management.

Traditional rack power distribution was historically treated as a commodity — a passive conduit delivering electrons from ...

And implementing machine-learning technology within real-world production systems can be a major hurdle. Here’s a look at a dozen startup companies, some that have been around for a few years ...

Artificial Intelligence and machine learning have been hot topics in 2020 as AI and ML technologies increasingly find their way into everything from advanced quantum computing systems and leading ...

In the rapidly evolving fields of computer vision (CV) and machine learning (ML), both software frameworks and hardware ...

Eaton, the U.S. Army Corps of Engineers and the National Renewable Energy Laboratory (NREL) teamed up to develop a data-driven HiZ fault detection technology that uses ...

Additionally, the company has applied its expertise on the software front to the global power grid ... information technology (IT) teams solve problems. CrowdStrike's machine learning technology ...