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 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 ...
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 ...
1 School of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, China. 2 Faculty of Telecommunication, Engineering and Space Technology, Future University, Khartoum, ...
Abstract: To address the inconsistency issue in large-scale series-connected lithium battery packs, this paper proposes an active equalization topology along with a novel equalization control strategy ...
This project investigates automatic Part-of-Speech tagging using Hidden Markov Models (HMMs) with maximum likelihood estimation (MLE) as part of a supervised learning approach. Three different ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Abstract: In the past few years, path planning and scheduling became a high-impact research topic due to their real-world applications such as transportation, manufacturing and robotics. This paper ...
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