For the last year, analysts have warned that the data centers needed for AI would drive up power demand and, by extension, emissions as utilities build out natural gas infrastructure to help meet demand.

Did DeepSeek just deep-six estimates about AI's energy needs? The Chinese upstart claims a far more efficient AI model, raising questions about power demand.

President Donald Trump’s pick for director of the Office of Science and Technology Policy, Michael Kratsios, holds just a bachelor’s degree in political science, but his extensive background in Artificial Intelligence makes him an attractive appointment amid the United States’ struggle with China over gaining AI supremacy.

It's true that training and using AI models like ChatGPT consume large amounts of electricity, resulting in the release of greenhouse gas emissions.

Energy demands are rising due to AI and consumer demand, but we don’t need to fill the gap with more natural gas.

The startups and power producers that are betting big on new nuclear are vulnerable to an energy efficient AI model.

The data hasn’t improved since then, although, fortunately, AI tools have vastly improved and offer new possibilities.

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.

The Chinese company is rapidly changing assumptions about individual models’ power needs, but the AI sector’s emissions are still a concern.

The World Economic Forum (WEF) has served as a platform to address global challenges, yet 83% of its original delegates were men.

On Tuesday night, President Donald Trump issued a pardon to Ross Ulbricht, who ran the dark web marketplace Silk Road under the pseudonym “Dread Pirate Roberts.” Ulbricht has been serving a life sentence without parole since 2015, when he was convicted of multiple charges, including the distribution of narcotics.