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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

AI has taken off, the problem is that is requires a large amount of electricity to stay powered. Nuclear energy can solve ...

In these far from bipartisan times, it was heartening to see during the recent “State of the State” address that the call by ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

JINAN CITY, SHANDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The global market for three-in-one busbar ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

If continuous M2M payments are the new electricity, then blockchains must be seen as the new power grid, Huang contends.

Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.

1 Department of Electrical Engineering, Black and Veatch, Overland Park, KS, United States 2 Department of Enterprise Solutions, Black and Veatch, Overland Park, KS, United States High-voltage ...