2015 Neuro-Inspired Computational Elements Workshop:

Information Processing and Computation Systems beyond von Neumann/Turing Architecture and Moore’s Law Limits

February 23 - 25, 2015

Workshop focus

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.

Workshop goal

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.

NEW Student Thesis Competition

Go to Student Thesis Competition to submit a student thesis abstract and advisor recommendation on a Neuro-inspired Computation related topic. Submissions must be in by January 16th, winners will be announced by January 30th. Three selected students will receive travel support to attend the workshop and have the opportunity to present a 10 minute 'snap overview'. Runner-up notable submissions will be considered for poster presentations during the workshop.