A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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.” [ ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...

We constructed a super pangenome for the tomato, incorporating 20 newly assembled telomere-to-telomere (T2T) genomes and 27 previously published genomes. This comprehensive, genus-wide resource ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Spread the loveIn a groundbreaking development that has sent shockwaves through the tech industry, Google announced the launch of its new AI compression algorithm, TurboQuant. This innovative ...