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 ...

AUSTIN (KXAN) — Utility regulators in Texas will start asking data centers and crypto-mining operations statewide within a narrow timeframe to share information about how much water they’re using and ...

Feb 10 (Reuters) - Microsoft (MSFT.O), opens new tab is exploring using superconducting power lines in its data centers, which could potentially accelerate its massive U.S. build-out of the server ...

File - In this Tuesday, Oct. 5, 2021, photo, a woman stands at her well at her property on the outskirts of The Dalles, Oregon. She said the water table that her well draws from dropped 15 feet in the ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

US Immigration and Customs Enforcement is asking companies to provide information about “commercial Big Data and Ad Tech” products that would “directly support investigations activities,” according to ...

A Florida Senate committee unanimously advanced a bill that would regulate large data centers. Supporters say the measure protects power grids, water supplies, and everyday utility customers. Critics ...

SALT LAKE CITY (ABC4) — A new bill would keep AI data centers’ water use information from the public record. Now, conservationists are pushing back as over 2 million Utahns remain in a drought. 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 ...