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The Shape of Things To Come

机译:到来的形状

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Artificial intelligence in aerospace has so far been Earthbound, using machine learning to see trends and spot anomalies in vast amounts of data downlinked from aircraft and engines. But the technology is beginning to take flight, from machine vision for autonomous detect-and-avoid systems and reading airport signs during automated taxiing to speech recognition for digital air traffic control and even algorithms for automating dogfight maneuvers. Then there is Skyborg, a U.S. Air Force research program to field an unmanned "loyal wingman" in 2023 to begin gaining experience with combat AI.Sustainability versus speed is an emerging debate as aviation looks to the next generation of aircraft. From business aviation to rotorcraft, higher speed appeals as a way to increase customer productivity-if the impact on cost can be constrained. But a divide is emerging between the U.S. and Europe over whether there should be a renaissance in supersonic air travel. U.S. startups are developing high-speed business jets and commercial airliners, but there are no European equivalents, and opposition from environmental groups is growing.
机译:航空航天中的人工智能迄今为止,使用机器学习,在飞机和发动机下方的大量数据中看到趋势和点异常。但该技术开始飞行,从机器愿景免于自动检测和避免系统和阅读机场标志,在自动租车期间对数字空中交通管制甚至是自动化防斗操纵的算法算法。然后有天空堡,美国空军的研究计划将在2023年将一个无人“忠诚的僚机”领域,开始与战斗AI的经验开始。普通的争论是一个新兴的辩论,因为航空展望下一代飞机。从商业航空到旋翼飞行,更高的速度吸引力是提高客户生产力的一种方式 - 如果可能会受到限制的影响。但除去了美国和欧洲之间的鸿沟是否应该在超音速航空旅行中应该有一个文艺复兴。美国初创公司正在开发高速业务喷气机和商业客机,但没有欧洲等同物,环境团体的反对增长。

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