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 ...
Examples of AI-detected infrastructure and housing changes from Vantor’s change detection pilot in Reynosa, Mexico, conducted prior to the Luno B award. Credit: Vantor WASHINGTON — Vantor, a ...
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 ...
Americans’ personal data — including names, Social Security numbers and addresses — are in the middle of a national-security disaster and should be investigated by Congress, says one Social Security ...
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 ...
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 ...
This is read by an automated voice. Please report any issues or inconsistencies here. As the artificial intelligence industry heats up, Karman Industries is trying to cool it down. The Signal Hill ...
Jan 13 (Reuters) - Microsoft (MSFT.O), opens new tab on Tuesday unveiled an initiative to curb water usage at its U.S. data centers and limit the impact on the general population from any potential ...
Bureau of Labor Statistics data released Tuesday showed that overall inflation cooled in December ... but streaming video prices soared by nearly 20 percent. By Alex Weprin Senior Editor Inflation ...
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 ...
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