We simulate neuronal components closely modeled after neurons in the brain, and synthesize arrays which wire themselves by simulating neural circuit growth in 3-dimensions. We are the first company to harness the power of programmable GPUs to the simulation of neural computation, now achieving 100-fold acceleration of the computing power of conventional cores. We are also designing the first generation of devices truly based on brain circuitry, pioneering the fusion of neuroscience and engineering to develop new categories of machines which embed some of the capacities of biological neural systems. Bios: Paul A. Rhodes, Ph.D., Dr. Rhodes has been a Visiting Scholar at Stanford University and is the head of Evolved Machines, Inc. Brian Taba, Ph.D., As a Research Scientist at Evolved Machines, Inc., Dr. Taba’s work focuses on developing design tools that attack the hard engineering problem of wiring the immensely complex neural circuit connectivity of massively parallel neural computers by applying the same principles of neurophysiological self-organization that the brain itself employs to automatically wire its own trillions of connections. W. David Taylor, P.E., Mr. Taylor is a computing technology professional responsible for the design and implementation of parallel computing systems for the simulation of artificial neural circuits. Anand Chandrasekaran, PhD., Dr. Chandrasekaran has joined Evolved Machines as a Research Scientist and will focus his efforts on developing neural algorithms capable of solving real world classification and navigation problems.