Artificial Intelligence and Machine Learning Technologies

Artificial Intelligence and Machine Learning Technologies under the Army's Research, Development, Test & Evaluation (RDT&E) budget activity 2040, aims to investigate artificial intelligence (AI) and machine learning (ML) to support an AI-enabled Multi-Domain Operations (MDO) Force. The specific objectives include maturing target recognition/detection using multiple cooperative autonomous sensors (MCAS), replicating tactical behaviors to enable autonomous capabilities for maneuver, predictive maintenance, and intelligence support for operations in support of long-range precision fires. The program is coordinated with the Army Modernization enterprise and contributes to the Army Science and Technology (S&T) portfolio. It is performed by the United States Army Futures Command (AFC).

Project CL2 within PE 0602180A focuses on AI Enhanced Intel Operations Technologies. The project aims to design and develop various technologies to augment human intelligence analysts with AI and ML-enabled decision support, workflow automation, and recommendation tools. This is intended to modernize how the Intelligence Warfighting Function supports Multi-Domain Operations and Joint All Domain Command and Control (JADC2). The project also seeks to mature technologies that will enable interoperable intelligence organizations capable of conducting synchronized, proactive intelligence operations to optimize individual efficiencies and team performance. The work in this project supports the Army Science and Technology Ground Portfolio and is performed by the US Army Futures Command.

Project CL7 within PE 0602180A focuses on ATR Using Multiple Cooperative Sensors App Tech. This project aims to design and develop AI and ML algorithms that leverage a team of air and ground sensors to autonomously navigate and collaborate through shared perception of the optical, thermal, and electromagnetic spectrums to find, identify, geo-locate, and track targets during reconnaissance missions. The research in this project supports the Army Science and Technology Lethality Portfolio and is performed by the United States Army Futures Command.

These programs are aligned with the Under Secretary of Defense for Research and Engineering S&T focus areas, the Army Modernization Strategy, and the Chief Digital and Artificial Intelligence Office (CDAO). They aim to advance AI capabilities in support of military operations while contributing to broader S&T objectives within the Army's modernization efforts.