Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. It lays the groundwork for a new approach to information processing that is based on brain-inspired spatial-temporal behavior in large-scale, cellular arrays of nanoeletronic processing elements. Prof. and Dr. Klaus Mainzer will explore CNN philosophy’s links with deep problems of epistemology and broach the ways that bio-inspired computing leads to questions of societal acceptance and ethical benchmarks. Prof. Dr. Klaus Mainzer is a philosopher of science and director of the Center for Technology and Society at the University of Technology, Munich. He studies the foundations and future perspectives of science and technology focusing on mathematical treatment and computer modeling as well as complex systems in the natural world, science, business, and society. His research areas include self-organization, chaos theory, artificial intelligence, and artificial life. Mainzer is a participant in NDnano’s NSF-EAGER grant, “Computer Architectures for 2020 and Beyond.”

1. 453 Geddes Hall
University of Notre Dame
Notre Dame, IN 46556
Phone: 574-631-5015
Email: reilly@nd.edu
2014 Reilly Center Forum
CNN Philosophy
From Cellular Nonlinear Networks to
Biologically Inspired Computing
Tuesday, February 18, 2014
4:15 pm — 5:15 pm
129 DeBartolo
Klaus Mainzer
University of Technology, Munich
Cellular Nonlinear/Neural Network (CNN) technology is both a revolutionary
concept and an experimentally proven new computing paradigm. It lays the
groundwork for a new approach to information processing that is based on braininspired spatial-temporal behavior in large-scale, cellular arrays of nanoeletronic
processing elements. Prof. and Dr. Klaus Mainzer will explore CNN philosophy’s
links with deep problems of epistemology and broach the ways that bio-inspired
computing leads to questions of societal acceptance and ethical benchmarks.
Prof. Dr. Klaus Mainzer is a philosopher of science and director of the Center for Technology and Society at the University
of Technology, Munich. He studies the foundations and future perspectives of science and technology focusing on
mathematical treatment and computer modeling as well as complex systems in the natural world, science, business, and
society. His research areas include self-organization, chaos theory, artificial intelligence, and artificial life.
Mainzer is a participant in NDnano’s NSF-EAGER grant, “Computer Architectures for 2020 and Beyond.”