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A mixed-mode design for a self-programming chip for real-time estimation, prediction, and control

The paper overviews the development of a self-learning computing chip in 0.18 micron copper technology. This chip supercedes, in its capabilities, present micro-computing paradigms (micro-processors, micro-controllers, and DSPs) in the application domains of process identification, modeling, prediction, and real-time control. In particular, specific domains of targeted potential applications include: (i) Nano-level on-line bio-probing and actuation, (ii) image analysis and feature extraction, (iii) channel equalization for high speed mobile communications, (iv) inertial navigation sensor fusion, and network management for routers.