The U.S. Army Yuma Proving Ground, or YPG, is advancing practical artificial intelligence use through its data architecture to support the post’s testing missions. The unit is continuing to develop its AI and enterprise data processes in tandem with the Army Test and Evaluation Command, the Army said Wednesday.
According to the service, YPG has an edge in tapping AI with the vast historical data it has stored from decades of testing and potentially useful for training AI models in automated analysis. The Army cited as an example YPG’s data use in the development of an algorithm to help facilitate air-to-surface-missile operations.
Potential Use in Maintenance, Sensor Development
Progress on AI deployment on data can also benefit most YPG’s non-destructive testing facility, the service noted. The technology can be used in the facility to assess potential problems with artillery tube depreciation through data compiled from laser-bore measurements. With AI, YPG can also explore the development of sensors that would enable faster firepower in near-peer combat situations, the Army said.
Ross Gwynn, YPG technical director, described AI application on the post’s database, as a “huge advantage” for the unit’s managers, especially if combined with business information.
“If we can automate that stream of business data in a similar manner as test data, it would have a lot of upside in efficiency gains,” he said.
AI is also the focus of the Army’s Network Enterprise Technology Command Data Science Directorate, which is launching NETCOM Edge, an advanced data analytics environment powered by the technology and machine learning capabilities.
