干细胞生物工程杂志

Aims and Scope 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. The journal emphasizes robust, scalable, and ethical AI solutions that address real-world challenges across diverse domains, including healthcare, manufacturing, finance, transportation, and environmental sustainability. By fostering interdisciplinary collaboration, Real-World AI Systems aims to accelerate the transition of AI innovations from labs to real-world deployment while ensuring fairness, transparency, and accountability.