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 ...

ROCK ISLAND ARSENAL, Illinois - First Army’s Operational Data Team has developed a groundbreaking simulation capability that will transform how the U.S. Army plans and executes Large Scale ...

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 ...

National Grid has introduced Triton, a new digital twin and data visualization tool designed to support electricity network planning. The tool was developed in collaboration with Atos and is intended ...

Data centers have caused the demand for gas-fired power in the US to explode over the past two years, according to new research released Wednesday. More than a third of this new demand, the research ...

A Plymouth company that makes iris-scanning software has joined the ranks of technology firms helping federal immigration authorities assemble a vast surveillance apparatus to identify targets for ...

SoftBank has launched Infrinia AI Cloud OS, a software stack for operating AI data centers that automates infrastructure management and provides inference services for large language models. The ...

Bitcoin’s most recent halving took place in 2024, cutting the reward miners receive for each new block (David Pereiras/The Noun Project) While today’s data center conversation revolves around AI, ...

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 ...

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 ...