Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image processing algorithm to streamline radar signal processing time and costs by two or three orders of magnitude. The advance could ultimately benefit real-time analysis of radar imaging data from potential enemy targets and autonomous vehicles and drones and might also be used for quantum sensing.