Abstract
Artificial Intelligence (AI) has significantly impacted advanced manufacturing systems (AMS) by enhancing predictive analytics and enabling autonomous decision-making. This paper explores the integration of AI techniques for real-time process optimization in AMS, addressing current methodologies and evaluating their efficacy in achieving operational efficiency. The study is structured to review the latest developments, present relevant data, and provide a roadmap for future integration.
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