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

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

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 ...

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 ...

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 ...

Tech giant Google is working on a new compression technology designed to make AI more efficient, which could help lower RAM prices, at least theoretically.

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...