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

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

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 ...

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 ...

Genomic data compression techniques have emerged as indispensable tools in addressing the exponential growth of sequencing data, which poses significant challenges in storage, processing, and ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

There are two categories of data compression. The first reduces the size of a single file to save storage space and transmit faster. The second is for storage and transmission convenience. The JPEG ...

Facebook is open sourcing a new compression algorithm called Zstandard that aims to replace the common technology behind the Zip file format. The most common algorithm behind the Zip file format is ...

A novel technique rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. A novel technique ...