Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

Lossy compression techniques reduce the size of large scientific datasets by selectively discarding or coarsening data elements that contribute least to the overall information content. Unlike ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

Information retrieval systems rely on specialised data structures and algorithms to index, query and retrieve relevant information from large collections of text or other data types. Traditional ...

image: Farzad Farnoud, an assistant professor of electrical and computer engineering and computer science at the University of Virginia School of Engineering and Applied Science, has earned a ...

Facebook is open sourcing a new compression algorithm called Zstandard that aims to replace the common technology behind the Zip file format. The most common algorithm behind the Zip file format is ...

Compression is performed by a program that uses a formula or algorithm to determine how to shrink the size of the data. For instance, an algorithm may represent a string of bits-- or 0s and 1s -- with ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

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 ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Google is looking to help application and Website ...