Military exercise tests machine learning technology

Combined Resolve, a U.S. Army Europe-Africa exercise designed to prepare a multinational brigade combat team in support of NATO deterrence operations, was held in February at the Joint Multinational Readiness Center in Hohenfels, Germany.

The National Geospatial-Intelligence Agency (NGA) worked with the U.S. Army 10th Mountain Division’s 3rd Brigade to showcase the GEOINT Artificial Intelligence and Machine Learning Light-Edge Resilient System (GAMBLER) technology. The technology has integrated artificial intelligence capability and is designed to agnostically operate on small unmanned aerial systems.

“The Army is pivoting to encrypted unclassified systems for future warfare, and part of NGA’s mission is to provide access to GEOINT in the austere environments that the Army operates in,” Col. Shannon Helberg, NGA Army Support Team chief, said. “This was a perfect match of requirement and capability. The team was able to plan and execute this mission under an exceptionally short timeline with only two weeks’ notice with outstanding results.”

The Army chief of staff requested new GEOINT technologies during Combined Resolve. NGA’s Army Support Team focuses on defining the warfighter’s operating environment, identifying any capability gaps, and conducting rapid prototyping and fielding of tools and tradecraft to mitigate those gaps.