Due to the need for faster processing, a growing number of newer computing models are increasing speed with intriguing physical designs. Massive parallelism, for example, exploits unique physical arrangements in order to increase computer performance. Seemingly, the signal itself is becoming less important. One can extrapolate further and envision a computer concept, where the only role of the signals is to establish a stable structure, which in turn would imply solution. The objective of the research is to examine a working hypothesis that certain high performance computing can be done by negotiating equilibria of appropriate anti-symmetric digital circuits through random noise. The experimental circuits are embodiments of particular algorithms. If the partial Inputs and outputs keep well-defined values, researchers believe that it is possible to superimpose chaotic perturbations in such a way that the processor will settle to its stable state if, and- only if, it attains a solution of the algorithm. Such an asynchronous resonance processor can be a high performance platform for a variety of applications primarily in the area of machine intelligence.The potential commercial application as described by the awardee: The research will lead to asynchronous resonance chips, PC expansion asynchronous boards for Al applications, dedicated expert systems engines, pattern recognition, and robotics.
