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

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

Google's new algorithm could eliminate the biggest bottleneck in AI right now.

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

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically that it could weaken demand for NAND flash storage, one of Micron ...

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

Memory chip stocks extended their losses on Thursday after Alphabet Inc.’s Google publicized research on a new algorithm that ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...