Abstract: Science Set Journal of Physics

Abstract:
This article examines the integration of advanced Artificial Intelligence (AI) and Machine Learning (ML) technologies in nuclear reactor control systems to enhance safety, efficiency, and reliability. It helps to identify and detect equipment degradation at the early stage. It explores key applications, including self-learning algorithms, predictive control, intelligent image processing, model-based signal processing, adaptive control systems, and fuzzy logic. It highlights their roles in improving operational decision-making and reducing risks in reactor environments. The synergy between these technologies provides a comprehensive, intelligent control strategy that addresses the complexities of modern reactor operations. Additionally, the article discusses economic strategies for designing next-generation fissionable nuclear reactors, emphasizing modular designs, optimized fuel management, and innovative financing models. By leveraging AI/ML advancements, the nuclear industry can achieve more autonomous, resilient, and cost-effective reactor solutions, supporting sustainable energy goals and advancing the future of nuclear power