SBIR/STTR Award attributes
The US Navy has invested in technology to advance the AN/SQQ-89 system, including updates to sensors, machinery, Tech Insertion (TI) computer hardware and Advanced Capability Build (ACB) software. This has greatly increased the ILS demands to maintain these systems and has diversified the baseline configurations that must be supported. While these upgrades are supported by IETMs and other ILS resources, the RMC support community lacks a cohesive architecture, to make the best use of IETMs, historical CASREPs and other relevant data. Our proposed Navy Artificial Intelligence Logistics Support (NAILS) data miner leverages innovative Natural Language Processing algorithms and cutting-edge Information Fusion technology, to mine, index and search IETMs, historical CASREPs and other sources, to provide the support community with a unified system to provide direct access to relevant material.
