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

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

Researchers at Argonne National Laboratory and SLAC have designed a detector chip that compresses X-ray data by factors of ...

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

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 ...

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 ...

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 ...

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 ...

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 ...