The rapid development and widespread use of artificial intelligence (AI) systems is posing new challenges for electricity ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

The sprint to build AI is no longer just about chips and algorithms. It’s about infrastructure, and North Texas power players ...

In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

The shortage is a lucrative opportunity - but the window is brief AI computing workloads could consume around 500 terawatt-hours annually by 2027 - about twice the U.K.'s total electricity consumption ...

AI businesses need enormous computing power and efficient data centers to operate. So do Bitcoin miners. Miners are happy to resell their data center and electric power capacity to AI customers when ...

Elon Musk says China's electricity advantage gives it the edge to "far exceed the rest of the world in AI compute." ...

Texas Instruments Inc. (TI) announced several power management devices and a reference design to help companies meet AI computing demands and scale power management architectures from 12 V to 48 V to ...

Semiconductors and data centers are emerging as the critical leverage points of the physical backbone of the AI economy.

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...