Pangenomics studies generate huge amounts of data. A new data compression method could make pangenomic analysis accessible to ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Several of the researchers I spoke with while reporting this article told me about memorization research that has been ...

Rocha-Maguey, J. and Güemez-Torres, A. (2026) Brown-Sequard Syndrome due to an Acute Cervical Spinal Cord Compression ...

TinyCompress is a lightweight Python library that provides efficient data compression algorithms with a focus on simplicity and ease of use. The library implements multiple compression methods: LZSSW ...

Authorities demand access to X’s recommendation algorithm and real-time user data. X rejects the request, citing legal rights and alleged researcher bias. Two experts named in the investigation have ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...

In today’s fast-paced digital world, effective memory management is crucial, particularly for users operating on low-memory Linux systems. One powerful tool that can significantly enhance system ...

Abstract: In recent years, with the development of brain science, the value of electroencephalography (EEG) data has become prominent. However, due to the characteristics of real-time transmission and ...

Abstract: Advanced sequencing technologies have profoundly revolutionized biology and produced vast amounts of raw sequencing data during the past decades. The enormous amount of sequencing data ...