As the world is gradually turning into an electric vehicle market, individuals tend to believe that the internal combustion ...

Net sales increased 15.2% to $192.6 million for FY26, compared to $167.2 million for FY25, driven by a $30.6 million, or 48.6%, increase in Fire Services revenue, supported by the full-year ...

Abstract: This paper presents a novel gradient compression method for federated learning (FL) in wireless systems. The proposed method centers on a low-rank matrix factorization strategy for local ...

Defibtech, in partnership with Master Medical Equipment, introduces flexible leasing options for the ARM XR Automated Chest ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically that it could weaken demand for NAND flash storage, one of Micron ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

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 ...

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 ...