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AI/ML Applications for Aerospace and Defense

机译:AI / ML航空航天和防御的应用

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摘要

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.
机译:具有航空航天和国防行业的绝大多数领先高管期望在未来十年内影响其运营的各部分的人工智能(AI)技术。安全领导人已经认识到人类认知带宽被涌现为数据利用率最严重的约束。因此,政府需要大数据,AI和机器学习(ML),以在实时响应中为其分析师提供边缘。同样,商业航空航天正在积极寻求AI“杀手应用程序”,通过减少燃料消耗,加速试点训练,创新产品设计和更好的客户服务来彻底改变运营。对于EX-ABLEP,作为领先的航空航天和国防公司,RAYTHEON Technologies(RTX)正在积极探索AI和ML的转型性能力。本小组讨论将介绍所有RTX业务单位的示例和经验。

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