artificial intelligence (AI) machine learning sensor performance prediction

ARLINGTON, Va. – U.S. Navy wanted probabilistic modeling and machine learning software program for quite a lot of U.S. army tasks. They discovered their answer from Daniel H. Wagner Associates Inc. in Exton, Pa.
Officials of the Office of Naval Research in Arlington, Va., introduced an $8.9 million order on Tuesday for the Probabilistic Sensor Performance Prediction undertaking and different artificial intelligence (AI) and machine learning companies to optimize naval mission effectiveness.
Wagner Associates develops, implements, markets, and gives coaching for customized scientific software program, and options to advanced and technically difficult operational issues, corresponding to artificial intelligence (AI).
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The firm has expertise at implementing subtle mathematical algorithms in software program modules that army personnel can use in anti-submarine warfare, floor warfare, air warfare, mine countermeasures, search and rescue, and different real-world operations.
Wagner Associates was the originator of the IOU Kalman Filter, also called the Maneuvering Target Statistical Tracker (MTST) for the Global Command and Control System and the Tomahawk Weapon Control System.
On this order Wagner Associates will do the work in Exton, Pa., and ought to be completed in September 2026. For extra data contact Daniel H. Wagner Associates on-line at www.wagner.com, or the Office of Naval Research at www.wagner.com.

https://www.militaryaerospace.com/computers/article/14310563/artificial-intelligence-ai-machine-learning-sensor-performance-prediction

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