Lex Fridman Podcast

En podcast af Lex Fridman

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456 Episoder

  1. #76 – John Hopfield: Physics View of the Mind and Neurobiology

    Udgivet: 29.2.2020
  2. #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI

    Udgivet: 26.2.2020
  3. #74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI

    Udgivet: 24.2.2020
  4. #73 – Andrew Ng: Deep Learning, Education, and Real-World AI

    Udgivet: 20.2.2020
  5. #72 – Scott Aaronson: Quantum Computing

    Udgivet: 17.2.2020
  6. Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

    Udgivet: 14.2.2020
  7. Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles

    Udgivet: 5.2.2020
  8. David Chalmers: The Hard Problem of Consciousness

    Udgivet: 29.1.2020
  9. Cristos Goodrow: YouTube Algorithm

    Udgivet: 25.1.2020
  10. Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

    Udgivet: 21.1.2020
  11. Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

    Udgivet: 17.1.2020
  12. Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI

    Udgivet: 14.1.2020
  13. Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics

    Udgivet: 7.1.2020
  14. Stephen Kotkin: Stalin, Putin, and the Nature of Power

    Udgivet: 3.1.2020
  15. Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming

    Udgivet: 30.12.2019
  16. Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI

    Udgivet: 28.12.2019
  17. Jim Gates: Supersymmetry, String Theory and Proving Einstein Right

    Udgivet: 25.12.2019
  18. Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education

    Udgivet: 21.12.2019
  19. Michael Stevens: Vsauce

    Udgivet: 17.12.2019
  20. Rohit Prasad: Amazon Alexa and Conversational AI

    Udgivet: 14.12.2019

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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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