Darrek Isereau, C. Capraro, Éric Côté, Mark D. Barnell, Courtney Raymond
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Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft
A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent pending), has been designed and developed. Agile Condor is supporting autonomous operations by providing a platform for the innovative use of artificial intelligence, machine learning, and decision making algorithms upstream, near the information source, where the data is collected. In September 2016, experimental tests successfully demonstrated the ability to implement advanced neural networks and deep learning techniques on Agile Condor. We continue to use this new processing architecture, algorithms and bio-inspired computing methods to demonstrate existing, refine emerging and invent new artificial intelligence techniques that are highly applicable and needed for sensor platforms. For the first time ever, and in real-time, the system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. Because of Agile Condor's modular architecture and performance characteristics, the system is providing flexible computational resources that will continue to bring new artificial intelligence (AI) capabilities closer to sensor platforms.