Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply. Google Research has published new technical details about its compression ...

Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a measurable impact on the semiconductor market. The technology is designed to reduce ...

A new quantum sensing approach could dramatically improve how scientists measure low-frequency electric fields, a task that ...

Google Research published TurboQuant on Tuesday, a training-free compression algorithm that quantizes LLM KV caches down to 3 bits without any loss in model accuracy. In benchmarks on Nvidia H100 GPUs ...

Investors in fast-rising memory storage stocks may be seeking to lock in profits after news from Google’s parent company appeared to have rattled the industry. Thanks for the memory?

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

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 ...

Abstract: Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding and image coding. Traditional vector quantization methods can be divided into mainly seven ...

Abstract: Recent advances in cooperative perception have demonstrated significant performance improvements over single-agent perception. In practice, cooperative perception methods often exchange ...

CISOs Say a Cyberattack Is Inevitable. 75% Admit They're Missing Key Evidence When It Happens. What If the AI Agent Destroyed ...