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Catalyzing Aerospace Progress Machine Learning Strategies for Emerging Economics
Abstract
The advancement in machine learning technology is impacting the aircraft industry globally as it develops at a very high rate. That is why more and more emerging states come to realize that aerospace innovation is the key to economic diversification and technical self-sufficiency and the path to national development. Machine learning has played an important role in enhancing design, safety, and operation efficiency; classified learning, learning from experience learning, neural networks, and local learning are quite suitable here. Some of the methods of avoiding such negative impacts include localization of data generating projects as well as cloud computing options that have been developed to suit the socio-economic conditions of emerging countries and; ethical AI governance frameworks.
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