We propose to apply AURAnetâ¢, a ruggedized, highly-modular, reconfigurable-architecture input/output (I/O) and computing platform already under development that leverages modern, Field-Programmable Gate Arrays (FPGAs) and other hardware, software and algorithmic approaches (including Artificial Intelligence / Machine Learning (AI/ML)) while running on a standard, ruggedized Intel/PCIe server platform. AURAnetâ¢âs development includes metrics for assessing obsolescence risk and for characterizing the effort and cost of transitioning legacy hardware products to reconfigurable computing platf
