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Yann LeCun is a pioneer in the field of artificial intelligence, machine learning, and computer vision. He is currently the Executive Chairman at Advanced Machine Intelligence Labs and the Jacob T. Schwartz Professor at NYU. LeCun is renowned for his significant contributions to the development of convolutional neural networks and deep learning architectures. He has received numerous accolades for his work, including the ACM Turing Award, the Queen Elizabeth Prize for Engineering, and the IEEE Neural Network Pioneer Award. As a member of the National Academy of Sciences and the National Academy of Engineering, he is recognized as a leader in AI research. LeCun's research interests include machine learning, computer vision, robotics, and computational neuroscience. He actively engages in educating the next generation of researchers and regularly contributes to the discourse on AI's societal implications through public lectures and media appearances. His work emphasizes the importance of autonomous intelligent systems and explores various applications of AI in understanding and mimicking human cognitive functions.
Advanced Machine Intelligence Labs • New York, NY, USA
Leading innovative projects in artificial intelligence and machine learning.
New York University • New York, NY, USA
Teaching and conducting research in computer science and machine learning.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.