In early January 2025, amid the wildfires in Los Angeles, multiple posts about the impact of artificial intelligence (AI) on climate change circulated widely.  Since LA is on fire and part of the south is frozen,

Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence systems that run on them,

Sarah Kaizar’s AT Feed is an automated aggregate of current climate news and a critique of the future of information.

The ABCD of AI-issues — agency decay, bond erosion, climate change, divided society — threatens our future. We can turn them into opportunities.

Kate Dargan Marquis of the Moore Foundation discusses spurring research and development to keep up with the growing impact of wildfires.

AI’s strength lies in processing vast data, identifying patterns and making predictions with speed and accuracy. This makes AI a tool for solving complex global problems. It’s more than automation or convenience—it’s about amplifying human capabilities.

President Biden issued an executive order Tuesday to "accelerate the speed at which we build the next generation of AI infrastructure here in America."

The release of the National Adaptation and Resilience Planning Strategy comes as a series of wildfires continue to burn across the Los Angeles area.

“AI, or artificial intelligence ... we will not be able to build and address the climate and nature emergency,” warned Gim Huay Neo, managing director of the WEF. “The climate and nature ...

Energy startups have overtaken the makers of electric cars and batteries as the top global climate tech investment for the first time since 2020. They’ve done so as the growing demand for artificial intelligence has driven interest in technologies that can power data centers with less emissions.

President Joe Biden has signed an ambitious executive order on artificial intelligence that seeks to ensure the infrastructure needed for advanced AI operations like data centers can be built quickly and at scale in the United States.

Microsoft recently said it plans to spend $80 billion on AI data centers this year with more than half of that in the U.S. OpenAI says new data centers could need 10 times more power than New York ...