Artificial Intelligence and Machine Learning Technologies

The Artificial Intelligence and Machine Learning Technologies (PE 0602180A) program is a key Army applied research initiative focused on developing and maturing artificial intelligence (AI) and machine learning (ML) capabilities to support an AI-enabled Multi-Domain Operations (MDO) Force. Managed by the Army's Artificial Intelligence Integration Center (AI2C), this program aims to advance target recognition, decision-making, autonomous maneuver, predictive maintenance, and intelligence support for operations. There is a strong emphasis on integration across Army modernization priorities and alignment with the Under Secretary of Defense for Research and Engineering's science and technology focus areas.

CL2: AI Enhanced Intel Operations Technologies seeks to augment human intelligence analysts with AI/ML-enabled decision support, workflow automation, and recommendation tools. The goal is to modernize intelligence support for Multi-Domain Operations and Joint All Domain Command and Control (JADC2). Specific objectives include developing AI agents for real-time strategy war gaming, maturing data frameworks for intelligence fusion, advancing rare object detection, and enhancing social media exploitation for battlefield awareness. These efforts are designed to optimize team performance and enable synchronized, proactive intelligence operations.

CL7: ATR Using Multiple Cooperative Sensors App Tech focuses on designing AI/ML algorithms that enable teams of air and ground sensors to autonomously collaborate for target detection, identification, and tracking during reconnaissance missions. The project aims to improve multi-scale detection, cross-platform data fusion, and collaborative mobility between unmanned systems. It is also developing intuitive mission command interfaces to allow warfighters to efficiently task and receive feedback from autonomous sensors, enhancing the effectiveness of reconnaissance and targeting operations.

CN7: Predictive Maintenance Applied Research is dedicated to developing AI/ML tools that predict and analyze maintenance needs for both legacy and emerging Army aviation and ground platforms. The objective is to extract and analyze data from maintenance databases and platform sensors, infer missing data, and integrate these insights into enterprise resource planning systems. The project aims to enable real-time decision support for maintainers and commanders, improve maintenance management, and inform modernization requirements for next-generation systems.

DA5: AI Enabled Talent Management Applied Research is focused on applying behavioral and social science research, enhanced by AI, to optimize the Soldier Lifecycle, including selection, assignment, training, and leader development. The project is developing AI-driven tools for skill identification, job matching, and team building, with the goal of improving individual and unit performance, resilience, and mission readiness. It also explores non-materiel solutions to adapt to changing force structures and mission demands.

DA6: AI-Enabled Command and Coordination Applied Research aims to mature technologies that support AI-enabled command and control, synchronization of combat power, and execution of Army operations. Key objectives include developing AI-enhanced planning tools, distributed AI architectures, common operating picture and battle tracking systems, and language technologies for improved situational awareness and workflow efficiency. These efforts are intended to enable commanders and staffs to achieve decision dominance and operational convergence across echelons.

Other notable line items include DB9: Army AI Integration Center Applied Research (CA), which received congressional funding for Automated Battle Damage Assessment and Adjust Fire. DE8: AI Development Environment Applied Research investigated cloud-native architectures and orchestration technologies to accelerate AI model development. DM7: Counter AI App Research is a new start in FY 2026 to develop mechanisms for trusted AI/ML and countering adversarial threats. DM8: AI Enabled Contested Logistics Support Tools App Tech is developing predictive logistics analytics to enhance decision-making and resource allocation in contested environments. Collectively, these projects are designed to ensure the Army's AI/ML capabilities are robust, secure, and rapidly deployable to meet evolving operational requirements.