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

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

Shares of memory specialist Sandisk have tumbled since Google revealed its new storage algorithm, but investors may be ...

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

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

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

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

Google’s TurboQuant cracks the memory-chip cartel — and the hardware-heavy AI thesis now looks like yesterday’s news.

Google scientists have created a new algorithm that can solve problems on a quantum processor 13,000 times faster than the world's fastest supercomputers. They say it brings us one step closer to ...