A new speaker array, an immersive surround system and machine-learning vocal isolation technology are transforming the ...
Tech - Portrait photography carried the reputation of medium-format cameras for a specific reason: the combination of large ...
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
Huawei's HZU Algorithm Aims for 90:1 Compression in New OceanProtect Backup Systems ...
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has completed systematic benchmark testing on fully ...
Compression is the concentration of audience attention into a window short enough that enough people experience something at ...
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 ...
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 ...