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 ...

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, ...

The Trump administration's move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...

The Centers for Medicare & Medicaid Services agreed last spring to give ICE officials direct access to a Medicaid database that includes enrollees’ addresses and citizenship status. - Scott ...

ROANOKE, Va. (WDBJ) - Virginia lawmakers are considering legislation to limit water consumption by data centers. It comes as Google plans to draw an estimated 8 million gallons per day from Carvins ...

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 ...

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 ...