AOI V: Information Dominance & Battlespace Awareness

SOF RACER: The primary goal is to achieve persistent, automated, and near-real-time collection, processing, and dissemination of data to enable predictive analysis and superior situational awareness.
Collaborative Autonomy & Uncrewed Systems: Developing and integrating autonomous air, ground, and maritime systems that can work together with minimal human intervention. These systems will share data in real-time to inform their own tasking and positioning, reducing operator burden and decision time. This includes support for autonomous systems with onboard detectors/effectors (which may or may not be autonomous) and the data exchanges between all related systems.
Advanced Sensor Systems: Fielding a wide range of advanced, multi-domain sensors (e.g., EO/IR, LIDAR, RF, Quantum) that are smaller, lighter, open-source, modular, and more power-efficient. The focus is on improving detection, tracking, and identification of targets and threats, including those with low signatures, in any environment, while also integrating legacy sensors into sensor data fusion systems and fielding MOSA-compliant sensors to enable rapid data fusion.
Data Analytics & Machine Learning: Harnessing AI/ML algorithms to rapidly process vast amounts of data from diverse sources at the tactical edge. This enables predictive maintenance, automated target recognition, anomaly detection, and turns raw data into mission-relevant intelligence to accelerate decision-making.