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

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing.

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

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.

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As Smart Manufacturing becomes the core driver of industrial transformation, the electronic assembly industry—led by PCB (Printed Circuit Boards)—is undergoing a profound digital revolution. In ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

The internet is saying Google Research developed Pied Piper. Anyone familiar with the popular HBO series, Silicon Valley, will know the fictional company in the show develops an industry-leading ...

Alphabet is leading the way in driving down AI costs.

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...

Failure to secure influence over AI ecosystems risks forfeiting control over not just technology, but also economic ...