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 ...

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 ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

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 ...

Argonne’s chip compresses and processes detector data instantly, letting scientists analyze results and steer experiments as ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

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 ...

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 ...