AI/ML Applications for Aerospace and Defense

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Abstract

The vast majority of leading executives with aerospace and defense industries expect artificial intelligence (AI) technologies to influence every part of their operations over the next decade. Security leaders have recognized that the human cognitive band-width is emerging as the most severe constraint for data utilization. For this reason, governments need big data, AI and machine learning (ML) to give its analysts the edge in real-time response. Similarly, commercial aerospace is actively seeking AI “killer apps” to revolutionize operations through reducing fuel consumption, accelerating pilot training, innovative product designs and better customer service. For ex-ample, as a leading aerospace and defense corporation, Raytheon Technologies (RTX) is actively exploring the transformative capabilities of AI and ML. This panel discussion will present examples and experiences across all RTX business units.

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APA

Reddy, K. K., Surana, A., Kodzwa, P., Zable, S., LaRowe, R., Brewer, E., & Burd, S. (2020). AI/ML Applications for Aerospace and Defense. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12312 LNCS, p. 356). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61725-7_42

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