If you’ve got a modern car, truck, or tractor, it’s probably got a CAN bus or three that is bouncing data all around the ...

CINCINNATI—Late at night, or when her 18-month-old daughter is napping, Jessica Sharp logs onto Chat GPT and asks it to help her in her fight to stop a data center from being built just steps away ...

Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...

India is drafting a new round of smartphone manufacturing incentives that would link government subsidies to exports and deeper use of locally made components, in a move that will benefit Apple Inc., ...

Data centres use huge amounts of energy and chips are in high demand – could brain cells be the answer? Australia-based start-up Cortical Labs has announced it is building two “biological” data ...

OpenAI's Sam Altman says AI's water concerns are "totally fake." The truth about AI's impact on natural resources is more complicated. Macy is a writer on the AI Team. She covers how AI is changing ...

If there’s one universal experience with AI-powered code development tools, it’s how they feel like magic until they don’t. One moment, you’re watching an AI agent slurp up your codebase and deliver a ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Millions of people have pledged to turn their back on ChatGPT following its deal with the ...

Automatic backups are essential for safeguarding your data from hardware failures, ransomware attacks, and accidental deletions. By setting up scheduled backups, you ensure files, applications, and ...

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 ...

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 ...