A Mixed Mode Self-Programming Neural System-on-Chip for Real-Time Applications
نویسندگان
چکیده
The paper provides an overview of the development of a self-learning computing chip in the new 0.18 micron copper technology. The chip realizes an architecture that achieves the task of self-learning execution times in the micro to milli seconds. The core consists of basic building blocks of 4quadrant multipliers, trans-conductance amplifiers, and active load resistances, for analog (forward-) network processing and learning modules. Super-imposed on the processing network are digital memory and control modules composed of D-Flip-flops, ADC, Multiplying D/A Converter (MDAC), and comparators for parameter (weight) storage, logical control and analog/digital conversions. The single System-on-Chip design impacts several domains of critical applications that include nano-scale biotechnology, automotive sensing, control and actuation, wireless communications, image feature extraction and pattern matching etc
منابع مشابه
A Mixed-Mode Design for a Self-programming Chip For real-time estimation, prediction, and control
The paper overviews the development of a selflearning 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 inc...
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