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:
Murat Okandan, Ph.D.