People who use AI agents are also at risk. They may rely too much on the AI, offloading important cognitive tasks. And ...

In April, the DoE had identified 16 federally owned sites that could potentially host data centers and AI infrastructure.

The US Department of Energy (DoE) has identified four sites where private sector firms will be invited to colocate ...

Nuclear deterrence is no longer a two-player game, and emerging technologies further threaten the status quo. The result is a ...

Innovation in IT got us to this point. Graphics processing units (GPUs) that power the computing behind AI have fallen in cost by 99% since 2006. There was similar concern about the energy use of ...

Last week, Sam Altman laid out his vision for how AI can transform humanity by the 2030s, and he reiterated the possibilities that lie ahead: “ [Intelligence and energy] have been the ...

An unprecedented look at the state of AI’s energy and resource usage, where it is now, where it is headed in the years to come, and why we have to get it right.

AI’s appetite for energy is enormous. But its potential to transform how we generate, distribute and use that energy is even greater. We just have to be smart enough to let it.

AI is guzzling energy. Scientists estimate North American data centers' power requirements increased nearly 100% from 2022 to 2023, largely driven by generative AI (GenAI).

As AI models become “smarter,” the environmental cost of using them may be rising. Your carbon footprint may come down to what questions you ask it.

The Artificial Intelligence Environmental Impacts Act of 2024, out of Massachusetts, is one of the first bills that sets out to align our AI ambitions with our energy realities, calling for the ...