Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...
Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...
When Google unveiled TurboQuant on March 24, headlines declared the algorithm could slash AI memory use sixfold with zero ...
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 ...
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models like DeepSeek and GLM. The training-free technique cuts 75% of indexer ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
AI has a growing memory problem. Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression ...
President Trump this week complained that America’s allies hadn’t stepped up to help break the Iranian blockade of the Strait of Hormuz. “Some are very enthusiastic about it, and some aren’t,” he said ...
The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results