EuroQCI, Europe's quantum key distribution backbone, now has named architects: the European Commission awarded coordination ...

Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

A new Andreessen Horowitz profile reveals the five-step process behind SpaceX’s Raptor 3 engine. The sequence exposes a fatal ...

Long context AI no longer means using data centres thanks to Tether acting swiftly on groundbreaking research from Google.

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Compression is the concentration of audience attention into a window short enough that enough people experience something at ...

File compression is the process of reducing the size of a file while preserving its content. This is typically used to save storage space, reduce transfer time over the internet, and enhance system ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

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.” ...

Add Decrypt as your preferred source to see more of our stories on Google. Google said its TurboQuant algorithm can cut a major AI memory bottleneck by at least sixfold with no accuracy loss during ...