A person testing the GAMBLER AI system near Fort Bragg. Photo: National Geospatial-Intelligence Agency

In a recent field demonstration blending cutting-edge AI with boots-on-the-ground operations, US defense and intelligence teams put the GAMBLER prototype to the test, aiming to streamline real-time decision-making in complex combat environments.

Conducted near Fort Bragg, North Carolina, the initiative involved personnel from the National Geospatial-Intelligence Agency, the US Army’s XVIII Airborne Corps, a national laboratory, and a technology company.

During the test, the system used AI technology and machine learning to help troops process data and identify targets on the spot.

The team ran multiple scenarios, building models on the field and pushing detection results across connected systems.

One test tracked individuals moving through a mock village and tunnel network while carrying bags and weapons, simulating potential security threats.

GAMBLER AI uses a drone to scan for threats. Photo: National Geospatial-Intelligence Agency

“One of those problems we are working on is moving the ability to make AI models in the field that are integrated into the warfighters collection, processing and dissemination paths. Especially in communication challenged environments,” the NGA’s Warfighter Support Office director said.

Real-Time Situational Awareness

GAMBLER uses unclassified video and still imagery from tactical sources to detect, geolocate, and catalog objects of interest.

Results are sent to handheld devices and higher-level networks, offering real-time situational awareness.

The system merges AI, machine learning, and mesh networking to shorten the gap between object detection and operational response on the ground.

Designed for use in denied, degraded, intermittent, and latent environments, GAMBLER supports multiple communication paths to maintain connectivity under adverse conditions.

Recent field exercises tested the software on low-cost, small-form-factor hardware without any changes to the models or architecture.

The team also evaluated new capabilities for transmitting detections and image tiles across multiple frequencies over extended distances, with support from service members at Fort Bragg and Fort Huachuca.

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