Artificial Intelligence and Machine Learning Advanced Technologies

The Artificial Intelligence and Machine Learning Advanced Technologies program is a key Army research, development, test, and evaluation (RDT&E) effort aimed at maturing and demonstrating advanced artificial intelligence (AI) and machine learning (ML) technologies. The overarching goal is to enhance Army capabilities across intelligence, command and control, logistics, maintenance, and operational domains. The program is coordinated by the Army Artificial Intelligence Integration Center (AI2C) and aligns with the Army Modernization Strategy, the Under Secretary of Defense for Research and Engineering's science and technology priorities, and the Chief Digital and Artificial Intelligence Office (CDAO).

CL1: AI Enhanced Intel Operations Advanced Technologies focuses on developing AI-enabled intelligence fusion for targeting. The objective is to mature algorithms that can fuse data from multiple military intelligence sources to support sensor-to-shooter automation at strategic, operational, and tactical levels. This includes optimizing algorithms to recognize novel object classes with minimal data, reducing manual input, and improving the speed and accuracy of target identification. The project also aims to create robust data frameworks and pipelines to support enterprise and edge AI applications for Army intelligence and operations.

CL6: ATR Using Multiple Cooperative Sensors Advanced Technology is dedicated to maturing AI algorithms and systems that enable autonomous teams of air and ground sensors to collaborate in reconnaissance missions. The goal is to integrate and optimize perception, navigation, and target recognition capabilities using a mix of drones and ground vehicles, leveraging shared sensor data across optical, thermal, and electromagnetic spectrums. This project supports the development of modular, scalable autonomy stacks and integration with Army command and control systems such as the Android Tactical Assault Kit (ATAK) and Nett Warrior.

CN6: Predictive Maintenance Advanced Technology aims to develop and demonstrate AI/ML tools for predictive maintenance of Army aviation and ground platforms, including helicopters and armored vehicles. The project seeks to extract and analyze maintenance data, infer missing information, and provide AI-enabled decision support for maintainers and commanders. The ultimate objective is to increase fleet readiness and reduce downtime by predicting and preventing critical failures. Applications are intended for deployment both at the enterprise level and at the tactical edge, even in denied or degraded communications environments.

CT8: Army AI Integration Center Advanced Research (CA) includes Congressional Interest Items such as the development of cognitive computing architectures for military systems and edge-based predictive maintenance tools. These efforts are intended to accelerate the transition of advanced AI/ML technologies into operational use, supporting both enterprise and edge computing environments for the Army.

DA7: AI-Enabled Command and Coordination Advanced Technology is focused on maturing AI solutions for command and control (C2), enabling timely understanding and application of commanders' intent. This includes developing AI-enabled tools for common operating pictures, battle tracking, and decision support, as well as foundational models in computer vision and natural language processing. The project also explores the application of game theory and reinforcement learning for operational planning and the integration of advanced language technologies to enhance soldier situational awareness and reduce personnel requirements.

DE9: AI Development Environment Advanced Technology addresses the need for a common, scalable AI/ML development platform within the Army. The objective is to mature cloud-native architectures, data integration techniques, and machine learning operations (MLOps) pipelines that support rapid, collaborative development and deployment of AI/ML models at the enterprise and tactical levels. This environment is intended to reduce duplication, lower costs, and accelerate the delivery of AI capabilities to the field.

DN3: AI Enabled Contested Logistics Support Tools Advanced Technology is a new start in FY 2026, aiming to provide AI-enabled logistics tools for contested environments. The project will develop predictive analytics and decision support applications to improve asset visibility, maintenance operations, and personnel capacity assessments. These efforts are intended to enhance unit readiness and reduce decision timelines in complex operational settings. The tools will be designed for use in both connected and disconnected environments, leveraging machine learning to support logistics and sustainment operations across the force.