Raging Parakeet (RP)
Abstract
Combatant Commands (CCMD) lack the ability to rapidly analyze vast amounts of Intelligence, Surveillance, and Reconnaissance (ISR) data to quickly locate hard-to-find targets with a high degree of accuracy. RP utilizes advanced artificial intelligence, machine learning algorithms, and sensor fusion to decrease manpower requirements and simultaneously increase the accuracy of high-priority target identification. In FY 2023 (last year of funding), the U.S. Air Force handed over technical lead to the Naval Research Laboratory (NRL). In FY 2024, Raging Parakeet will gather needed data sets, develop an initial set of algorithms, establish open architecture standards, complete standards development, develop a prototype processor based on the project’s standards, create fusion and cross-cueing algorithms, perform integration of the payload into the host aircraft, and perform a technical demonstration, an operational demonstration, and a military utility assessment. Raging Parakeet's algorithms will transition to an existing Naval Air Systems Command (NAVAIR) program of record, National Geospatial Intelligence Agency (NGA), and the Chief Digital and Artificial Intelligence Office (CDAO).
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2025
- Source ID
- a7fb94fd8e6d3c156868b0992fe32aa7