Shares of Caterpillar, the maker of mining and construction machinery, are up more than 30% since year-end, making it the biggest contributor to the Dow Jones Industrial Average. WSJ’s Jonathan Weil ...

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 ...

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 ...

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 ...

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 ...

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.

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, ...

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 ...

One of the side effects of the energy-intensive process of bitcoin mining is the excess heat that is created by the involved hardware devices. Miners have to prove that they’ve expended energy on ...

WEKA, the data platform for AI, today announced that Hitachi Ventures led its recent round raising $73 million in funding, which brings the total amount raised to $140 million. Other investors ...

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 ...