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.
By means of three research talks we will explore several facets of information theory in the era of Big Data.
Internet traffic is growing by about 60% every year. Most of this traffic passes through fiber-optic links and the growth rate shows no sign of slowing down. But none of us wants to see their communication bill go up. How do we square this circle? Frank Kschischang will explain that non-linear processing should be used, if we wish to squeeze even more bits through fibers efficiently.
Estimating the probability of unlikely events is a fundamental task of information processing. Alon Orlitsky will start with events taking place 70 years ago, when this very question decided on life and death, and then ask – what is the best we can do?
And how do we store all this information cheaply and reliably for long periods of time? Nick Goldman will argue that nature solved this problem for us a long time ago – just use DNA!
Please join us also for a lunch and a stroll through the Poster Exhibition where our PhD students and faculty members will be happy to discuss their latest and greatest ideas with you.
Chairmen – Michael Gastpar and Rüdiger Urbanke
Nick Goldman, European Bioinformatics Institute
Frank Kschischang, University of Toronto
Alon Orlitsky, University of California, San Diego