AI-Driven Aerospace and Scalable Cloud Systems is a forward-looking guide for engineers, researchers, and technology leaders. It reveals how drones, autonomous systems, and cloud-native architectures are converging to define the future of intelligent flight. With practical case studies, recruiter-focused summaries, and deep dives into algorithms, protocols, and architectures, the book equips readers to navigate both academic and industry challenges. Whether you’re fascin...

“Artificial Intelligence in aerospace does not replace control theory; it augments it. The transition involves moving from hard-coded rules to learned representations, specifically in areas where environmental variables are too chaotic for static modeling—such as gust mitigation in urban canyons or multi-object detection in diverse weather conditions.”