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About

Gary Marcus is a prominent cognitive scientist and artificial intelligence researcher whose work bridges the gap between human cognition and machine learning. His key research areas include cognitive development, language acquisition, and the limitations of deep learning. Marcus is best known for his critical perspective on AI, arguing that current neural networks lack the robust, compositional understanding inherent in human intelligence. His influential book, *The New York Times* bestseller *Rebooting AI: Building Artificial Intelligence We Can Trust*, co-authored with Ernest Davis, challenges the hype around deep learning and advocates for hybrid AI systems that combine neural networks with symbolic reasoning. While his most-cited papers—such as those on language acquisition and cognitive architecture—have garnered thousands of citations, his 2015 AAAI workshop report (2 citations) reflects his ongoing engagement with the AI community. Marcus has also founded and served as CEO of Geometric Intelligence, a machine learning company acquired by Uber, and continues to shape public discourse through essays in *The New Yorker* and *Wired*. His work has profoundly influenced debates on the future of AI, making him a must-read for students and researchers exploring the intersection of psychology and artificial intelligence.