The San Francisco start-up claimed that DeepSeek, Moonshot and MiniMax used approximately 24,000 fraudulent accounts to train their own chatbots. By Cade Metz Reporting from San Francisco The San ...
With so much data stored on ephemeral mediums like hard drives and magnetic tape, what will remain of our civilization in the millennia to come? Thanks to an innovation from Microsoft researchers, the ...
We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...
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 ...
Federal immigration agents detain a man during an operation by Immigration and Customs Enforcement (ICE) and Border Patrol in St. Paul, Minnesota, on Jan. 27, 2026. (Photo by Octavio JONES / AFP via ...
Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...
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 ...
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 ...
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 ...