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 ...

TL;DR: Google developed three AI compression algorithms-TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss-that reduce large language models' KV cache memory by at least six times without ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Compression algorithms are not really new, so I've looked cautiously at the work of U.S. computer scientists claiming that 'they have developed technology that doubles the usable memory on cell phones ...

Few online phenomena have divided online opinion more than 100 men versus a gorilla or that darned dress (it was white and gold). But in late March, it was the turn of a Google-authored paper on an ...

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of "working memory" an AI model requires by at least 6x. As TechCrunch reports ...

Lossless compression is used for applications where the original data must be fully restored following decompression. Examples of applications requiring lossless compression include network data, ...

Windows 11 has a habit of doing things quietly in the background and then getting blamed for them later. Memory compression is one of those features. It sounds like a gimmick and immediately gets ...

With people on the internet insisting that M1 Macs run well with minimal RAM (and the standard configs being minimal), I was wondering if anyone has a detailed explanation on how memory compression on ...