Lex Fridman Podcast

Un pódcast de Lex Fridman

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460 Episodo

  1. Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life

    Publicado: 2/12/2019
  2. Noam Chomsky: Language, Cognition, and Deep Learning

    Publicado: 29/11/2019
  3. Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

    Publicado: 25/11/2019
  4. Dava Newman: Space Exploration, Space Suits, and Life on Mars

    Publicado: 22/11/2019
  5. Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

    Publicado: 19/11/2019
  6. Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot

    Publicado: 12/11/2019
  7. Bjarne Stroustrup: C++

    Publicado: 7/11/2019
  8. Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation

    Publicado: 1/11/2019
  9. Garry Kasparov: Chess, Deep Blue, AI, and Putin

    Publicado: 27/10/2019
  10. Michio Kaku: Future of Humans, Aliens, Space Travel & Physics

    Publicado: 22/10/2019
  11. David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI

    Publicado: 11/10/2019
  12. Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI

    Publicado: 3/10/2019
  13. Peter Norvig: Artificial Intelligence: A Modern Approach

    Publicado: 30/9/2019
  14. Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes

    Publicado: 26/9/2019
  15. Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

    Publicado: 23/9/2019
  16. Colin Angle: iRobot

    Publicado: 19/9/2019
  17. François Chollet: Keras, Deep Learning, and the Progress of AI

    Publicado: 14/9/2019
  18. Vijay Kumar: Flying Robots

    Publicado: 8/9/2019
  19. Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning

    Publicado: 31/8/2019
  20. Jeremy Howard: fast.ai Deep Learning Courses and Research

    Publicado: 27/8/2019

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Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.

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