Memoria 2022

Princess of Asturias Foundation ANNUAL REPORT 2022 PRINCESS OF ASTURIAS AWARDS. LAUREATES 28 Trayectoria Background Geoffrey Hinton (Londres, Reino Unido, 1947) se graduó en Psicología Experimental en la Universidad de Cambridge y se doctoró en Inteligencia Artificial por la Universidad de Edimburgo (1975). Trabajó, entre otras, en las universidades de Sussex, California, San Diego, Carnegie-Mellon y Toronto. En 1998 puso en marcha la Unidad Gatsby de Neurociencia Computacional de la Universidad de Londres. Posteriormente, regresó a Toronto, donde es catedrático emérito en el Departamento de Ciencias de la Computación. Desde 2013, colabora con Google en el desarrollo de aplicaciones de deep learning y es asesor científico principal en el Vector Institute de Canadá. Es autor o coautor de más de trescientas publicaciones. Es miembro de la Royal Society y de la Asociación para el Avance de la Inteligencia Artificial, miembro honorario de la Academia de las Artes y las Ciencias y de la Academia Nacional de Ingeniería de Estados Unidos, companion de la Orden de Canadá y doctor honoris causa por las universidades de Edimburgo, Sussex y Sherbrooke. Ha recibido, entre otros, el Premio David E. Rumelhart, la Medalla de Oro Gerhard Herzberg, el Premio NEC C&C, la Medalla James Clerk Maxwell, el Premio BBVA Fronteras del Conocimiento y el Premio Turing. Geoffrey Hinton (London, United Kingdom, 1947) graduated in Experimental Psychology from the University of Cambridge and received his PhD in Artificial Intelligence from the University of Edinburgh. He has worked at the Universities of Sussex, California, San Diego, Carnegie-Mellon and Toronto, among others. In 1998, he set up the Gatsby Computational Neuroscience Unit at University College London. He subsequently returned to the University of Toronto, where he is Professor Emeritus in the Department of Computer Science. Since 2013, he has worked with Google as vice president for the development of deep learning applications and is currently Chief Scientific Advisor at the Vector Institute of Canada. He is the author or co-author of more than three hundred publications. Hinton is a Fellow of the Royal Society and the Association for the Advancement of Artificial Intelligence, honorary member of the American Academy of Arts and Sciences and the US National Academy of Engineering, companion of the Order of Canada and holder of honorary degrees from the Universities of Edinburgh, Sussex and Sherbrooke. He has received, among other distinctions, the David E. Rumelhart Award, the Gerhard Herzberg Canada Gold Medal, the NEC C&C Prize, the James Clerk Maxwell Medal, the BBVA Frontiers of Knowledge Award and the Turing Award. «Este reconocimiento del éxito de las redes neuronales artificiales es especialmente satisfactorio debido a la larga historia de rechazo de este enfoque por parte de la corriente mayoritaria de la inteligencia artificial». “This recognition of the success of artificial neural networks is especially pleasing because of the long history of this approach being dismissed by the mainstream Artificial Intelligence community.” Geoffrey Hinton