Beyond von-Neumann Computing: Computing meets Nanophysics

Topic

Today's data processing is realized almost exclusively by computers, which are designed following the von-Neumann principle. Data and instructions for the processing unit pass the same data bus, leading to the so-called von Neumann bottleneck, which innately limits the performance of these computers. Radically new approaches are essential for creating next generation information processing technology. The symposium "Beyond von Neumann Computing" addresses key challenges and aims at identifying novel concepts towards the realization of neuromorphic computing. Thus, limitations due to inherent computer design issues may be overcome, and also a drastically improved energy efficiency may result. World leading experts from complementary disciplines ranging from materials science, physics, engineering, computation, neuroscience to biology will present and discuss their visions in the symposium.

Invited speakers

Rodney Douglas | University Zurich

von Neumann's other architecture

Julie Grollier | CNRS, Palaiseau

Learning pattern classification with coupled spintronic nano-oscillators

Moritz Helmstaedter | MPI Frankfurt

Karten des Denkens: Die Vermessung neuronaler Netzwerke

Herbert Jäger | Jacobs University, Bremen

What is "computing"?

Bert Kappen | Raboud University Nijmegen

Neurocomputing principles

Thomas Lengauer | MPI Saarbrücken

Computing for biology – biology for computing

Klaus-Robert Müller | TU Berlin

Machine learning and AI for the sciences – towards understanding

Joyce Poon | University Toronto

Integrated photonics for neuromorphic computing

David van Essen | Washington University, St. Louis

Parcellation of human cerebral cortex

Theo Rasing | Radboud University Nijmegen

Bits and brains

Michael Roukes | Caltech, Passadena

Can we reverse-engineer the brain?

Stanley Williams | HP, Palo Alto

Removing the golden handcuffs

Fred Wolf |  MPI Göttingen

Building better brains – key innovations in the evolution of a fluid computing machine