For many businesses, the need for adaptable, event-ready space is constant. Finding a solution that is cost-effective, structurally sound, and aesthetically pleasing can feel like a significant ...

The US federal government’s central energy information agency is planning to implement a mandatory nationwide survey of data centers focused on their energy use, according to a letter seen by WIRED.

CINCINNATI—Late at night, or when her 18-month-old daughter is napping, Jessica Sharp logs onto Chat GPT and asks it to help her in her fight to stop a data center from being built just steps away ...

Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...

NEW YORK, March 19 (Reuters) - Google (GOOGL.O), opens new tab has signed agreements with five U.S. electric utilities in states from Arkansas to Minnesota to curtail its electricity use during ...

OpenAI's Sam Altman says AI's water concerns are "totally fake." The truth about AI's impact on natural resources is more complicated. Macy is a writer on the AI Team. She covers how AI is changing ...

The Electric Power Research Institute’s electricity-demand estimates are about 60 percent higher than the group anticipated two years ago. Data centers could double their current share of U.S. power ...

BOTETOURT COUNTY, Va. (WDBJ) - The Western Virginia Water Authority this week released records detailing Google’s projected water use at a planned data center in Botetourt County, following a ...

Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...

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Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...