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SYSD: Symposium SKM Dissertation-Prize 2015

SYSD 1: Symposium SKM Dissertation-Prize 2015

SYSD 1.3: Hauptvortrag

Montag, 16. März 2015, 11:50–12:15, HE 101

Dynamics of Complex Autonomous Boolean Networks — •David P. Rosin — Technische Universität Berlin, Germany — Duke University, NC, USA

Network science provides a powerful framework for analyzing coupled systems occurring in physics, biology, engineering, and society, such as for example the internet, food webs, and socio-economic networks, and are recently also used to develop novel computing approaches. One way of studying and harvesting network dynamics is to engineer networks in the laboratory, which is particularly difficult with established approaches. Here, I develop a new approach using microelectronic networks of connected Boolean logic elements (field-programmable gate arrays) with time-delay allowing for realization of large complex networks with arbitrary topology. I exploit the resulting chaotic and neural-like excitable dynamics to develop a hardware random number generation and a neuromorphic computer. The resulting network-based random number generator operates at an ultra-high bit rate of 12.8 Gbit/s of fundamentally unpredictable random numbers and is now tested in conjunction with a private company and the International Monetary Fund. The neuromorphic computer is based on the reservoir computing paradigm.