Budget Account
2040A - Research, Development, Test and Evaluation, Army
Budget Activity
03 - Advanced technology development
Description
The Artificial Intelligence and Machine Learning Advanced Technologies program is designed to enhance the Army's capabilities in AI and machine learning through various projects. One of the key initiatives, AI Enhanced Intel Operations Advanced Technologies, focuses on developing AI algorithms to integrate data from multiple intelligence systems. This effort supports automation across strategic, operational, and tactical levels, enhancing Long Range Precision Fires and Mission Command. It leverages investments in sensing and data transport to improve target recognition and decision-making processes.
Another significant project is ATR Using Multiple Cooperative Sensors Advanced Technology. This initiative aims to develop a team of autonomous air and ground sensors that utilize AI and ML for reconnaissance missions. By integrating optical, thermal, and electromagnetic spectrum data, these sensors work to identify, geo-locate, and track targets effectively. The project enhances threat detection capabilities through collaborative sensor networks.
The Predictive Maintenance Advanced Technology project focuses on using AI and ML tools to predict maintenance needs for aviation and ground platforms. By analyzing maintenance data from various sources, this initiative seeks to reduce downtime and prevent critical failures during missions. It prioritizes platforms like the UH60, AH64, CH47, Stryker, and Abrams based on their importance to Army missions. This effort contributes to increased fleet operational readiness by optimizing maintenance resource planning.
Lastly, the AI Development Environment Advanced Technology project addresses the need for a common platform for AI/ML development within the Army. It aims to create an infrastructure optimized for rapid deployment in cloud environments, supporting modular software development. By providing shared resources for AI/ML model development, this initiative seeks to reduce costs and accelerate algorithm delivery to the field. The project aligns with the Army Modernization Strategy by ensuring efficient collaboration in AI/ML development across globally dispersed teams.