2013 Neuro-Inspired Computational Elements Workshop:
Information Processing and Computation Systems beyond von Neumann/Turing Architecture and Moore’s Law Limits
February 25, 26, and 27, 2013
Conventional, stored program architecture systems are designed for algorithmic and exact calculations. However, the problems with highest impact involve large, noisy, incomplete, “natural” data sets that do not lend themselves to convenient solutions by current systems. Our task is to build upon the convergence – cresting waves among neuroscience, microelectronics and computational systems to develop a new architecture designed to handle these natural data sets.
By bringing together researchers from different scientific disciplines and applications areas, we seek to provide a nucleation point for the development of next generation of information processing/computation architectures that go beyond stored program architectures and Moore’s Law limits.
With this workshop, we will:
- Present applications that are looking for solutions that are beyond the capabilities of current computational systems,
- Highlight technical approaches that are at the early to middle stages of development for new computational systems,
- Identify pathways and resources to accelerate the development of these new systems.
Attendance: 80-100 from neuroscience, systems, microelectronics, applications, potential funding agencies.
Workshop Advisory Committee
Workshop Organizing Committee
- Bruce McCormick, CEO, Cognimem Technologies
- Christof Koch, CSO, Allen Institute for Brain Science
- Karlheinz Meier, Kirchoff Institute, Heidelberg University
- James L. Olds, Director, Krasnow Institute for Advanced Study
- Jennifer Hasler, Professor, Georgia Institute of Technology
- John George, Deputy Group Leader, LANL
- Matthew Pickett, HP Labs
- Mikko Lipasti, Professor, University of Wisconsin
- Narayan Srinivasa, HRL
- Paul Rhodes, Founder, Evolved Machines
- R. Jacob Vogelstein, Program Manager - Applied Neuroscience, JHU APL
- Rod Rinkus, President, Neurithmic Systems
- Sergio Davies, APT Group, University of Manchester
- Tarek Taha, Professor, University of Dayton