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

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

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 ...

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

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

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 ...