Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

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 ...

Suffix arrays serve as a fundamental tool in string processing by indexing all suffixes of a text in lexicographical order, thereby facilitating fast pattern searches, text retrieval, and genome ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

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 ...

Microsoft is open-sourcing and releasing to the Open Compute Project its 'Project Zipline' data-compression algorithm, plus related hardware specs and source code.

Google is no Silicon Valley startup, but it's just as intent on creating compression algorithms as the fictional "Pied Piper." The search giant is about to unleash its latest algorithm, called ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Some time ago we wrote here about Samplify Systems, a company producing an unusual and quite efficient suite of data compression algorithms. Today, Samplify will announce a switch in business plans, ...