Revolution of AI and ML Methods in Aerospace Engineering and Systems

Artificial intelligence (AI) is increasingly being used in aerospace engineering and Systems (AE&S) operations as a result of advancements in high-performing aerospace technology and chip technology. In this field, machine learning (ML) and AI are currently cutting-edge innovations that tackle challenging issues that conventional science-based approaches find difficult to resolve effectively. This study presents a comprehensive review of the models used in aerospace engineering by implementing AI and ML approaches. This paper explores the possible advantages related to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$A I$</tex> and underlines the shortcomings of traditional methodologies. Moreover, the requirement for the adoption of AI in this domain and the limitations associated with integrating AI into these systems are also examined. The findings highlight that deployment of AI and ML is seen as both promising and risky. Hence, it is anticipated to significantly advance the use and advancement of AI and ML in aerospace technology and research.