Core Viewpoint - Yoshua Bengio is recognized as the most cited living scientist across all disciplines, not just in computer science, highlighting his significant impact on deep learning and artificial intelligence [4][19]. Group 1: Background and Contributions - Yoshua Bengio, born in 1964 in Paris, is a prominent figure in deep learning, having co-founded the field alongside Geoffrey Hinton and Yann LeCun [8][11]. - His early academic journey included a PhD under Hinton at McGill University, where he shifted focus from classical statistical models to neural networks [10][12]. - Bengio's major contributions include the development of probabilistic modeling, high-dimensional word embeddings, attention mechanisms, and generative adversarial networks (GANs) [13][16]. Group 2: Key Publications - Bengio's influential papers include "A Neural Probabilistic Language Model" (2000), which addressed the "curse of dimensionality" in language modeling, laying the groundwork for modern language models [14]. - The paper "Generative Adversarial Nets" (2014), co-authored with Ian Goodfellow, is his most cited work, with over 100,904 citations [17]. - The 2015 paper "Deep Learning," co-authored with Hinton and LeCun, is considered a foundational text in the field, summarizing deep learning's evolution and theoretical underpinnings [16][17]. Group 3: Recent Developments - In June 2023, Bengio announced the establishment of a non-profit organization, LawZero, aimed at developing the next generation of AI systems, with an initial funding of $30 million [19][20]. - LawZero focuses on understanding the learning world rather than action-oriented AI, aiming to provide verifiable answers to enhance scientific discovery and address AI risks [20]. Group 4: Citation Rankings - Bengio currently leads in citation counts among living scientists, with his closest competitor being Geoffrey Hinton, who has nearly 940,000 citations [21]. - The AD Scientific Index ranks researchers based on various metrics, including total citations, reflecting the prominence of AI and medical research in current academic discourse [23][26].