From information theory to learning via Statistical Physics: Introduction: by Florent Krzakala

26 December 2016 to 07 January 2017 VENUE: Madhava Lecture Hall, ICTS Bangalore Information theory and computational complexity have emerged as central concepts in the study of biological and physical systems, in both the classical and quantum realm. The low-energy landscape of classical and quantum systems can be characterized in terms of constraint satisfaction problems, with the physical behavior of these theories – for example, glassy behavior – governed by the computational complexity of such problem

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