Militaries around the globe are beginning to increase investments in AI and ML capabilities. The top military defense contractors in the US, Europe, and Israel are all working on AI software and algorithms to sell into the defense sector. So, the adoption of AI in the Navy is still in the nascent stages in contrast to the defense contractors.
This article will cover the AI applications that military defense characters intend to sell for use in the US Navy. A significant number of the applications canvassed in this report appear to currently be in the exploratory or testing stages.
The defense contractors mentioned in this article offer software for the following use cases for AI in the Navy, starting with Alion Science & Technology and Hydroid, who offers software specializing in entity detection and classification.
Findr, with Machine Vision
Alion Science and Technology offers Findr, which it cases can enable the Navy to identify and characterize entities using machine vision.
Alion claims the Navy can integrate the software into the navigation system of an autonomous vehicle to detect and track targets through obstruction sin the working environment.
The organization states the ML model behind the software was trained on customary Doppler radar data demonstrating the nature and activity of the entity during observation from different points and in different lighting conditions. These images would have been marked as targets or non-targets. These labeled images would then be run through the software’s ML algorithm.
This would have trained the algorithm to discern the sequences and patterns of 1’s and 0’s that, to the human eye, form the image of a target and non-target as shown on the radar.
The user could then upload radar pictures that are not labeled into Findr. The algorithm would then be able to differentiate images as targets and non-targets. The system then alerts a human employee of potential targets in the zone in real-time.
GSA Federal Systems Integration and Management Center and the Naval Undersea Warfare Center are some of Alion’s major clients.
Chris Milroy is Director of AI at Alion. He holds a BA in Economics, Philosophy from the University of Chicago. Already, Milroy served as the Chief Scientist of the Nascent Technology Center at Engility Corporation.
Hydroid’s REMUS AUVs Help Navy Detect Threats
Hydroid offers the Remote Environmental Monitoring Unit System, or REMUS, series of autonomous underwater vehicles (AUVs), which it claims can assist the Navy in detecting threats using machine vision.
Hydroid claims the Navy can integrate the REMUS software into existing intelligence and surveillance and reconnaissance systems above water.
The company states that the REMUS AUV would be able to distinguish and identify threats to depths of as much as 6,000 meters underwater.
Hydroid claims to have helped the U.S. Naval force find and annihilate submerged mines. The Navy used REMUS AUVs together with land-based systems to launch mine countermeasure (MCM) exercises. As per the contextual analysis, Hydroid increased the Navy’s warfare capabilities by keeping adversaries “guessing.”
Hydroid likewise lists Microsoft co-founder Paul Allen and the Woods Hole Oceanographic Institution as some of their past clients.
Andrew Keefer is a Software Engineer at Hydroid. He holds a BS in Physics and Physical Oceanography from the University of Rhode Island. Beforehand, Keefer filled in as Software Engineer at Teledyne Benthos.