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I believe Geoff is the single most important figure in the field of Artificial Intelligence today. His contributions to academia and industry are equally outstanding. He is not only a brilliant and inspirational scholar, but also an inquisitive, generous, persistent, decent, and principled gentleman, who is a role model for any aspiring young computer scientist. His work went well beyond neural networks and machine learning, and has greatly impacted computer vision, speech and signal processing, statistics, cognitive science, and neural science. I cannot think of anyone else more deserving of the Turing Award, and urge the committee to select Geoff as the recipient this year.

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Beyond the role of an innovator, Geoff was also a true thought leader. While he is soft-spoken, he is a spiritual leader who really shapes and reshapes the overall research community. He was a tireless in teaching not only his students but the world. For example, he started the Connectionist School in 1986. He personally connected to and persuaded people in computer vision and speech processing to understand and embrace deep learning. Yet, after all that work succeeded, and the world was won over by deep learning in 2018, he set a new direction. Because industry has rallied around deep learning, and large companies were gathering more data and leading the “industrialization” of deep learning, he made an exhortation to move on and focus on inventing “the next deep learning”, or fundamentally new approach to AI problems that could move closer to true human intelligence.

纪冰:这个环节我们就到这里了,今天在深圳,所以还是引用小平同志的一句话:不管黑猫白猫,抓到老鼠就是好猫。我们为人民创造财富的时候不分外资中资,可以为老百姓创造财富就是好公司,感谢我们嘉宾的精彩演讲,谢谢。(注:上述内容未经嘉宾审核)编辑:吴羽

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