The deal for Intersect, a data center and energy developer, is set to help Google build out its infrastructure for artificial intelligence. By Eli Tan Reporting from Seattle Google has agreed to buy ...

As the AI surge progresses, the most significant hurdle is unlikely to be the availability of chips or components. Instead, it will be electricity, cooling, and physical space. On our planet, data ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Google recently unveiled Project Suncatcher, a ...

Adopt a unified approach with integrated data security solutions that help you discover and protect data across your organization. Dynamically secure data across platforms, devices, generative AI ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. A few days ago, on November 26th, right before Thanksgiving, OpenAI, the maker of ChatGPT, ...

Amazon could be accelerating the dangerous levels of nitrates in Morrow County’s drinking water. Amazon could be accelerating the dangerous levels of nitrates in Morrow County’s drinking water. is the ...

DEKALB COUNTY, Ga. — Residents opposed to a plan to build a massive data center in Ellenwood said DeKalb officials have not detailed adequate protections for the surrounding community. The opponents ...

SAN ANTONIO – District 6 council member Ric Galvan filed the city’s first policy proposal request to examine the exponential growth of data centers in San Antonio. Data centers, which house the ...

Data centers completed in Silicon Valley sit empty for years — unable to power up because the local utility lacks capacity to supply them with electricity. AI computing will more than double ...

Global data center power demand is averaging a 17% annual growth rate, a new McKinsey study found. In the US, data centers could account for 14% of total power demand by 2050. Fossil fuels are likely ...

Abstract: Researchers confront significant challenges when classifying and modeling data due to the growing system complexity, data volume, and requirement for accurate and reliable models.