Atomic Norm is a patented, breakthrough algorithm developed by Neural Propulsion Systems (NPS) that significantly enhances radar performance by achieving over 10 times the resolution of conventional systems. This innovative mathematical framework processes sensor data with unprecedented clarity and precision, enabling real-time sub-beamwidth detection and reducing false positives. By shattering computational limits, Atomic Norm operates efficiently on readily available AI compute resources, overcoming traditional processing bottlenecks. Its self-regulating nature eliminates the need for extensive training data, offering unmatched reliability and practicality in various applications.