Army seeks to use artificial intelligence (AI), computing at the...

Army seeks to use artificial intelligence (AI), computing at the edge, to improve targeting, ease networking
Commanders and operators won’t get the full picture from more raw data; they will need to trust the AI systems to send the accurate data they need.


Nov 4th, 2020


WASHINGTON – U.S. Army leaders are working to improve their networking at a rapid pace, increasing bandwidth, lowering latency, and making it more robust for the future fight. So why does it want to send less data over that network? C4ISRnet reports. Continue reading original article

The Military & Aerospace Electronics take:

4 Nov. 2020 -- Officials have emphasized that to get sensor data to weapons systems even faster, they need to push computing to the edge. To hit deep-lying, protected targets, meanwhile, soldiers need to see farther to sense potential threats, create targeting data, and send a solution to the most effective weapons.

The concept is more frequently referred to as the sensor-to-shooter timeline, and the Army is trying to shorten that timeline to respond to threats effectively. Part of that effort will involve shifting the processing step from the command post to the sensor, Army officials say.

This is known as edge processing, which involves processing at the sensor two provide two major benefits. First, artificial intelligence (AI) will process data faster than a human could. Second, if data is processed at the edge, the sensor doesn’t have to take up massive bandwidth to send all this data back through the network; it just needs to send its final product.