Nww Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor ...

More importantly, this remarkable reduction in energy consumption is accompanied by a 30 times increase in performance. So, AI models can not only be trained and deployed at a much faster pace now ...

Tech giant Google (Nasdaq: GOOG) has inked a groundbreaking deal to purchase power from small modular nuclear reactors (SMRs) ...

For context, consider that each typical AI data center will consume annually the equivalent electricity of 750,000 electric vehicles — about six months of Tesla sales. The requested 90 data ...

Major technology companies are increasingly turning to nuclear energy as they attempt to keep up with the vast energy demands ...

OpenAI says the approach could be crucial for building more capable AI systems in the future. In the meantime, perhaps a more modest version of this technology could help make AI girlfriends and ...

Other insiders, such as Anthropic AI’s Dario Amodei, believe that the technology necessary to make this possible — called “mind uploading” — will eventually be created, but not within ...

MANILA, Philippines — Artificial intelligence has the potential to enhance disaster risk reduction ... Energy Policy Director Lindy Fursman of the Tony Blair Institute for Global Change said ...

A fledgling startup is setting out to become one of Europe’s first “AI compute” hyperscalers, with renewable energy playing a pivotal part in its pitch to prospective customers. The AI gold ...

Closer inspection showed they were too cute to be true. Many of the images that popped up were AI-generated. It turned an assignment about our family’s heritage into a lesson about what’s real ...

The proliferation of artificial intelligence (AI) has increased the demand for more powerful chips that are being deployed in data centers to train complex large language models (LLMs), and also ...