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

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 published a paper on March 31 that states that Bitcoin's cryptography could be impacted by quantum computing sooner ...

Micron Technology (NASDAQ:MU | MU Price Prediction) stock is falling 5% in early trading on Monday, trading around $339 after opening at $357.22. That move extends a rough stretch: MU stock has fallen ...

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 ...

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

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

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

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...