MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

Dianne de Guzman is the regional editor for Eater’s Northern California/Pacific Northwest sites, writing about restaurant and bar trends, upcoming openings, and pop-ups for the San Francisco Bay Area, ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...

The ocean has always looked like a blank blue expanse on most maps, yet beneath that surface lies a layered, living architecture that scientists are only now beginning to chart in detail. From the ...

We're passionate about giving school-aged children opportunities to create, explore and learn about the latest ideas in science, engineering, computing and mathematics. Personal insights from our ...

Mar. 25, 2026 Nearly half of Americans don’t know that processed meat increases colorectal cancer risk, according to a new poll. But once they learn the connection, most support warning ...