利用高性能嵌入式计算,敏捷秃鹰,用于智能处理:远程驾驶飞机的人工智能平台

Darrek Isereau, C. Capraro, Éric Côté, Mark D. Barnell, Courtney Raymond
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引用次数: 7

摘要

一种新发明的、高性能的、基于pod的计算机体系结构,被称为敏捷秃鹰(正在申请专利),已经被设计和开发出来。Agile Condor通过为人工智能、机器学习和决策制定算法的创新使用提供平台来支持自主操作,这些算法靠近信息源(收集数据的地方)。2016年9月,实验测试成功证明了在Agile Condor上实现先进神经网络和深度学习技术的能力。我们将继续使用这种新的处理架构、算法和生物启发的计算方法来展示现有的、改进新兴的和发明新的人工智能技术,这些技术高度适用于传感器平台。该系统首次通过使用深度卷积神经网络实时演示了图像处理、视频处理和模式识别。由于Agile Condor的模块化架构和性能特点,该系统提供了灵活的计算资源,将继续为传感器平台带来新的人工智能(AI)功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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