Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

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 ...

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

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

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Google’s TurboQuant could cut LLM memory use sixfold, signaling a shift from brute-force scaling to efficiency and broader AI ...

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

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

Google LLC and Cohere Inc. today released new artificial intelligence models optimized for audio processing tasks.  The ...