Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...
A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...
Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...
Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...
Will AI save us from the memory crunch it helped create?