Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...

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

Suffix arrays serve as a fundamental tool in string processing by indexing all suffixes of a text in lexicographical order, thereby facilitating fast pattern searches, text retrieval, and genome ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

The amount of data that the big cloud computing providers now store is staggering, so it’s no surprise that most store all of this information as compressed data in some form or another — just like ...

With TurboQuant, Google promises 'massive compression for large language models.' ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

The goal of digital compression algorithms is to produce a digital representation of an audio signal which, when decoded and reproduced, sounds the same as the original signal, while using a minimum ...