DOMINATE Prototype Project
Coming Soon Announcement
APEX OTA CONSORTIUM COMING SOON ANNOUNCEMENT
ANNOUNCEMENT: APEX-CSA-003
DATE: 6 February 2025
PROJECT NAME: Distributed Operational Machine-learning for Intelligence, Networking, AI, Targeting, and Execution (DOMINATE) Prototype Project
AUTHORITY: 10 U.S.C. §4022 (Prototype Projects)
CUSTOMER: Naval Surface Warfare Center (NSWC) – Panama City Division (PCD)
KEY TECHNICAL AREA(S): Microelectronics, Unmanned Systems (UxS), Emerging Technologies, Multi-Domain Operations
DESCRIPTION
The Department of Defense (DoD) faces a growing challenge in integrating and processing vast amounts of data across multiple domains, including air, land, sea, cyber, and space, to support real-time decision-making and operational effectiveness Current data analysis and artificial intelligence (AI)/machine learning (ML) capabilities are fragmented, centralized, and lack interoperability, limiting the ability to synthesize information from diverse sources such as intelligence, surveillance, and reconnaissance (ISR) sensors, unmanned systems (UxS), and maritime surveillance platforms. This gap is particularly critical for Maritime Domain Awareness (MDA), where detecting, tracking, and identifying threats across vast and contested environments requires faster and more adaptive data-driven insights.
The Distributed Operational Machine-learning for Intelligence, Networking, AI, Targeting, and Execution (DOMINATE) prototype project seeks to leverage PEC’s Decentralized Machine Learning (DML) framework to assess AI/ML integration for real-time, cross-domain data fusion. The DOMINATE prototype project aims to explore AI-driven ISR and MDA solutions, evaluate decentralized AI processing for edge analytics, enhance interoperability for joint and coalition forces, and improve predictive analytics for faster decision-making. A key focus is the role of UxS (air, surface, subsurface, and cyber) COCO platforms as dynamic data generators, operating both individually and across domains to enhance AI model training, situational awareness, and mission adaptability. These insights will inform strategies for deploying scalable, government-owned AI solutions that optimize operational effectiveness while ensuring full control over critical capabilities.