CISER-Research-Thesis-AI Applications for Solving Combat ID Problems Concerning Unknown Unknowns - CISER Consortium for Intelligent Systems Education and Research
CISER's Role in Research
Develop and apply intelligent systems to a range of Navy mission areas, including intelligence, logistics, cyber, test and evaluation, force health and personnel data, and operational decision making.
Offer a core research program to engage faculty and students in investigating questions of high interest to the group’s sponsors.
AI Applications for Solving Combat ID Problems Concerning Unknown Unknowns
The Navy has identified a need to exploit the benefits of artificial intelligence, particularly in the realm of common tactical picture (CTP), combat identification (CID), and battle management aids. Of grave concern to the Navy is the CID of unknown unknowns or things that are not known to exist or can be easily tracked. Artificial Intelligence, and related machine learning, deep learning, and deep analytics tools, provides a technology that can be used to assist commanders in processing information to help determine these unknown unknowns. The limitations of current CID systems, coupled with the increased amount of the sensor data overloading current watch-stander's abilities to determine regularized patterns and anomalies, offers a technological opportunity to exploit and ease a human’s workload. Machine learning and other AI systems may be able to fill this gap, assisting in the determination of unknown-unknowns. Research conducted on machine learning and deep learning techniques determined possible applications for CID use in the surface Navy, with technology acquisition and integration as the limiting factors. Continued research concerning the integration of legacy systems and new technologies is necessary to realize the true potential of AI in CID unknown-unknown applications. Read more...