Cognitively adaptable front-end with fpna enabled integrated network executive

Abstract

A system-in-package or multi-chip module architecture that includes a field programmable neural array, that instantiates an instance of a neural network model trained to receive internal observation signals from a digitally controlled integrated circuit, and rapidly generate corresponding system settings to optimize desired characteristics. The system continuously adapts system settings to environmental conditions via a feedback loop of observation signals. The field programmable neural array may also receive observation signals external to the module to generate system settings based on factors not otherwise definable by internal signal characteristics.