AI-Driven Optimization in Aerospace Engineering

Abstract

The integration of artificial intelligence (AI) in aerospace engineering has opened new avenues for optimizing design and performance. This study examines AI-driven algorithms that enhance the efficiency of aircraft design processes, reducing time and resource consumption. By employing machine learning techniques, engineers can predict performance outcomes and identify optimal design parameters, streamlining the development cycle of aerospace technologies.
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