Abstract: Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific discovery ...

In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, ...

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 ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...

Dr. Ziya Arnavut of the State University of New York at Fredonia has received a patent for a software invention that provides a cost-effective method of encrypting data during transmission. The ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Abstract: The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, as well as the capability to meet different accuracy demands.

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 ...

In this paper a streaming weak-SINDy algorithm is developed specifically for compressing streaming scientific data. The production of scientific data, either via simulation or experiments, is ...