Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

A team of researchers spent years watching their quantum circuits fail before one finally worked. In early 2025, scientists ...

Can brain cells run computers? This startup powers data centre using human neurons What previously required months or years of specialised lab work can now be done in hours or days thanks to its ...

Kevin Schug explores how molecular encoding bridges chemistry and data science to enhance precision and intelligence in analytical measurements. Molecular descriptors allow molecules to be encoded as ...

AI is sending memory prices surging, and Micron is struggling to keep up with demand. Micron's earnings have soared over the past year, and analysts expect more growth through next year. Investors are ...

Abstract: The truncated singular value decomposition and its various tensor generalizations have long offered a simple and practical mechanism for compressing data stored in 2D or higherorder tensors.

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 ...

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by combining three properties of light—amplitude, phase and polarization. By ...

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 ...