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 ...

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even ...

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 ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

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 ...

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 ...

Row level compression looks at each column in a row and attempts to compress based on the data not filling the space provided for the column. Page level compression includes the features of row level ...

Data compression is one the most reliable and cost effective ways to squeeze more bandwidth out of your WANs. According to our Special Focus author Tim Greene (tgreene@nww.com) makers of specialty ...