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

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

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 ...

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 ...

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 ...

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 ...

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 ...