The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. I have written in March about Google’s TurboQuant for compressing data in memory for AI ...

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 ...

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, ...

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.

Google Research's TurboQuant memory-compression algorithm has raised concerns that demand for AI-related memory could weaken, but South Korean experts and analysts say the market reaction may be ...