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About

Miguel A. Molina‐Cabello is a leading researcher at the intersection of artificial intelligence, data science, and computational intelligence. His work explores how machine and deep learning systems are reshaping society, with a particular focus on the interplay between natural and artificial computation. His most cited work, "Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications" (2020), has garnered over 312 citations, establishing him as a key voice in understanding AI's transformative impact on the economy, education, and social welfare. Molina‐Cabello's contributions extend beyond theoretical advances; he actively develops practical AI frameworks that bridge the gap between human cognition and machine learning. His research is widely recognized for its interdisciplinary approach, influencing both academic discourse and real-world applications. By synthesizing trends in data science with computational intelligence, Molina‐Cabello continues to shape the future of AI-driven innovation, making his work essential reading for students and researchers seeking to understand the societal implications of artificial intelligence.