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  1. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and co-director of Stanford HAI. She served as the director of Stanford’s AI Lab from 2013 to 2018. During her sabbatical from Stanford from 2017 to 2018, she was vice president at Google and served as chief scientist of AI/ML at Google Cloud.

  2. Para recibir primero historias como esta en su bandeja de entrada, regístrese aquí . "Este momento en la IA es un momento de inflexión", me dijo recientemente Fei-Fei Li. Li es codirector del Instituto de IA centrado en el ser humano de Stanford y uno de los investigadores en informática más destacados de nuestro tiempo.

  3. Fei-Fei Li is a computer science professor at Stanford University and founding director of the Stanford Institute for Human-Centered AI, an organization that aims to advance AI research, education, policy and practice to improve the human condition.

  4. Fei-Fei Li auf dem Gipfeltreffen AI for Good 2017. Fei-Fei Li (chinesisch 李飛飛; * 1976 in Peking, China) ist eine US-amerikanische Informatikerin und Hochschullehrerin.Sie ist die erste Sequoia-Professorin am Institut für Informatik der Stanford University und Co-Direktorin des Human-Centered AI Institute in Stanford.

  5. 1 de nov. de 2023 · The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI by Fei-Fei Li Flatiron Books $29.99 336 pages (publishing in the UK in December £25.99)

  6. Fei-Fei Li (förenklad kinesiska: 李飞飞; traditionell kinesiska: 李飛飛), född 1976, är en amerikansk dataforskare känd för att ha etablerat ImageNet, databasen som möjliggjorde snabba framsteg inom datorseende på 2010-talet. [5] [6] [7] Hon är professor i datavetenskap vid Stanford University, meddirektör för Stanford's Human-Centered AI Institute och har varit chef för ...

  7. In the beginning of the universe, all was darkness — until the first organisms developed sight, which ushered in an explosion of life, learning and progress. AI pioneer Fei-Fei Li says a similar moment is about to happen for computers and robots. She shows how machines are gaining "spatial intelligence" — the ability to process visual data, make predictions and act upon those predictions ...

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