Real-World AI Systems is an international, peer-reviewed journal dedicated to advancing research on the practical implementation, deployment, and impact of artificial intelligence (AI) technologies in real-world applications. The journal serves as a platform for researchers, engineers, policymakers, and industry practitioners to share cutting-edge findings, methodologies, and case studies that bridge the gap between theoretical AI advancements and their tangible societal, economic, and industrial benefits.

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