AI Development Environment Applied Research
Abstract
The Army lacks a common platform to develop AI/ML. This results in siloed and duplicative work that is inefficient. Many current solutions have narrow application and are proprietary, requiring additional funding, time, and labor for even minor modifications. The AI-enabled Army of the future will require low cost, rapid AI/ML solutions at the edge. This project will design and develop a set of platform(s), and infrastructure optimized for Army use and ready for rapid employment in enterprise, multi, and hybrid cloud environments to support?modular software (cloud native) intended to continuously develop and integrate AI/ML models. It will design and develop hardware and software technologies, including cloud native applications and infrastructure for globally dispersed AI/ML development collaboration, artifact sharing, automated resource provisioning, and continuous ML Operations. The AI Development Environment will provide the AI-enabled Army of the future with low cost, rapid AI/ML solutions at the edge and accelerated algorithm development for faster delivery to the field.as well as less expensive AI/ML development by leveraging shared resources.? The cited research is consistent with Under Secretary of Defense for Research and Engineering priority focus areas and the Army Modernization Strategy. Research in this Project supports the Army Science and Technology Network Portfolio and the Chief Digital and Artificial Intelligence Office (CDAO). Work in this Project is performed by the US Army Futures Command.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2024
- Source ID
- DE8_0602180A_2_2040_PB_2024
Related Documents
- Root: Artificial Intelligence and Machine Learning Technologies
- Child Accomplishment: Artificial Intelligence Environment Applied Research