The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.