Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
IEEE

Multispectral and Hyperspectral Compressor (MHyC) 2.0: An Integrated Architecture of a Simple Lossless Algorithm

Abstract: The increasing requirement for higher resolution imagery and the data acquisition rates challenge the data processing capabilities of satellites, requiring on-board compression before ...
IEEE

Smart Meter Energy Data Compression by a Low-computational Differential Coding based Lossless Compression Algorithm

Abstract: Smart meter is responsible for producing a large volume of energy consumption data and therefore data compression can be an useful tool for compressing such data sets. As smart meter is ...
GitHub

Spatio-Temporal-Lab/Falcon

Falcon is a high-performance GPU-accelerated lossless compression framework specifically designed for floating-point time series data. It achieves unprecedented compression ratios and throughput by ...