Yahoo Suche Web Suche

Suchergebnisse

  1. Suchergebnisse:
  1. Yann LeCun's research on neural networks and computer vision laid the groundwork for much of the technology that's becoming integral to our lives, from self-driving cars to facial recognition. He is VP and chief AI scientist at Facebook and was the founding director of Facebook AI Research and the NYU Center for Data Science. His research interests include machine learning and artificial ...

  2. Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department.

  3. Yann LeCun Courant Institute of Mathematical Sciences, New York University yann@cs.nyu.edu Meta - Fundamental AI Research yann@fb.com June 27, 2022 Abstract How could machines learn as e ciently as humans and animals? How could ma-chines learn to reason and plan? How could machines learn representations of percepts

  4. 18. Juni 2020 · Yann LeCun gilt als einer der "Godfathers of AI". Jetzt entwickelt er für Facebook als Chef künstliche Intelligenz, die Falschinformationen erkennen und die Corona-Folgen eindämmen soll. Hier ...

  5. 22. Dez. 2023 · Do not preach doom to Yann LeCun. A pioneer of modern AI and Meta’s chief AI scientist, LeCun is one of the technology’s most vocal defenders. He scoffs at his peers’ dystopian scenarios of ...

  6. Yann LeCun's Home Page. Such Neural net architectures with local connections and shared weights are called Convolutional Networks.After joining AT&T Bell Labs in 1988, I applied convolutional networks to the task of recognizing handwritten characters (the initial goal was to build automatic mail-sorting machines).

  7. Yann LeCun's Home Page. Such Neural net architectures with local connections and shared weights are called Convolutional Networks.After joining AT&T Bell Labs in 1988, I applied convolutional networks to the task of recognizing handwritten characters (the initial goal was to build automatic mail-sorting machines).