Yuma Proving Ground looks to artificial intelligence for data efficiency gains

From the article

>From vision-based AI learning to automating Kineto Tracking Mount-calibration processes, the proving ground is already reaping dividends from the most recent technology and more benefits are expected as the impact of the efficiency gains continues.

>“Now we have a little more time on our hands to think about how we could advance another part of some other process we use,” said Gwynn. “We’re starting to think in a more valuable manner and applying ourselves to finding ways to advance capabilities as opposed to just utilizing the current capability to keep the wheels moving around here. We’re doing things better, smarter, and faster by applying recent technology to the right spaces.”

>One benefit that YPG has over other organizations is troves of historical data from decades of test events. This data is extremely valuable for training AI models to automate or expedite data reduction and analysis. A recent successful example involved developing a workable algorithm to help facilitate the acoustic trilateration of air to surface missiles and other helicopter rounds collected from arrays of microphones and hydrophones on the post’s highly instrumented ranges. Additionally, the post’s Air Delivery Branch is building a new test data structure with the collaborative efforts of longtime YPG analysts and a developer.