Navy Brings AI to Maritime Air-Surface Targeting

Video Above: How the US Navy Can Fast-Track Building 500 Warships

By Kris Osborn – Warrior Maven

The Navy is progressively phasing AI into its ship systems, weapons, networks and command and control infrastructure as computer automation becomes more reliable and advanced algorithms can increasingly make previously impossible discernments and analyses.

Previously segmented data streams on ships, drones, aircraft and even submarines are now increasingly able to share organized data in real time, in large measure to ongoing breakthrough advances in AI and Machine Learning. 

Breakthrough Advances in AI and Machine Learning

AI can, for instance, enable command and control systems to identify moments of relevance from among hours or days or surveillance data in milliseconds, something which saves time, maximizes efficiency and performs time-consuming procedural tasks autonomously at exponentially faster speed.

“Multiple data bytes of information will be passed around on the networks here in the near future. So as we think about big data, and how do we handle all that data and turn it into information without getting overloaded, this will be a key part of AI, then we’re talking about handling decentralized systems,”Dr. Nathan Husted, Naval Surface Warfare Center, Carderock, told an audience at the 2022 Sea Air Space Symposium…”and of course, AI plays a big part in the management in between the messaging and operation and organization of these decentralized systems.”

The success of AI could be described or thought of in almost a paradoxical way, in one sense its utility or value is only as effective as the size and quality of its ever-expanding database, yet its conclusions, findings or “answers” are by contrast very small and precise.