The ability to acquire, store, process and communicate large amounts of data forms the foundation of our information age and continues to transform virtually every aspect of our life. Information Theory is at the center of this development, providing concepts and measures of information — such as the ”bit” — as well as algorithms to process information in an ever changing technological landscape.
In data transmission, the transition from wired to wireless communication continues to have a tremendous impact. But it is also becoming increasingly clear that a key enabling factor for these systems is a high-capacity high-speed optical backbone. In the realm of data processing, Information Theory is expanding its reach beyond communications and is playing an increasingly important role in Statistics, Machine Learning, and Data Science.
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Nick Goldman, European Bioinformatics Institute
Frank Kschischang, University of Toronto
Alon Orlitsky, University of California, San Diego