A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...
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Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even ...
That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...
Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
Data compression has emerged as a vital tool for managing the ever‐increasing volumes of data produced by contemporary scientific research. Techniques in this field aim to reduce storage requirements ...
Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...
Trajectory data compression and simplification techniques have emerged as essential tools for managing the ever‐increasing volumes of spatio‐temporal data generated by GPS devices and other ...
A US start-up company has attracted widespread attention by claiming to have developed a revolutionary new method for compressing data, but experts are sceptical. ZeoSync says its compression ...