Closed-Loop Cooling Explained: The Plumbing Behind Meta’s AI
Tom Shaw explains how Meta is using closed-loop liquid cooling to power AI more efficiently.
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Tom Shaw explains how Meta is using closed-loop liquid cooling to power AI more efficiently.
“What I really like about the glasses is the speed at which I get the information I need – instead of waiting for someone to read a letter or waiting for someone to tell...
A letter from Mark Zuckerberg on the path to a positive AI future.
Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousa...
We've awarded AI Glasses Impact Grants to 30 organizations across the US using Meta AI glasses to help people work safer, learn faster, and live more independently.
Powered by Muse Spark 1.1, Meta AI can now build, plan, and follow through from start to finish.
Hierarchical Interest Representation is a research area for Meta Ads.
We’re breaking ground on a new 1GW, AI-optimized data center in Sturgeon County, Alberta — our first data center in Canada and 33rd in our global fleet.
Muse Image is the first image generation model from Meta Superintelligence Labs, now available in Meta AI.
This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF), the charitable organization dedicated to advancing, supporting, and pro...
Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to fu...