Towards Data Science

En podcast av The TDS team

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131 Avsnitt

  1. 91. Peter Gao - Self-driving cars: Past, present and future

    Publicerades: 2021-07-07
  2. 90. Jeffrey Ding - China’s AI ambitions and why they matter

    Publicerades: 2021-06-30
  3. 89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!

    Publicerades: 2021-06-23
  4. 88. Oren Etzioni - The case against (worrying about) existential risk from AI

    Publicerades: 2021-06-16
  5. 87. Evan Hubinger - The Inner Alignment Problem

    Publicerades: 2021-06-09
  6. 86. Andy Jones - AI Safety and the Scaling Hypothesis

    Publicerades: 2021-06-02
  7. 85. Brian Christian - The Alignment Problem

    Publicerades: 2021-05-26
  8. 84. Eliano Marques - The (evolving) world of AI privacy and data security

    Publicerades: 2021-05-19
  9. 83. Rosie Campbell - Should all AI research be published?

    Publicerades: 2021-05-12
  10. 82. Jakob Foerster - The high cost of automated weapons

    Publicerades: 2021-05-05
  11. 81. Nicolas Miailhe - AI risk is a global problem

    Publicerades: 2021-04-28
  12. 80. Yan Li - The Surprising Challenges of Global AI Philanthropy

    Publicerades: 2021-04-21
  13. 79. Ryan Carey - What does your AI want?

    Publicerades: 2021-04-14
  14. 78. Melanie Mitchell - Existential risk from AI: A skeptical perspective

    Publicerades: 2021-04-07
  15. 77. Josh Fairfield - AI advances, but can the law keep up?

    Publicerades: 2021-03-31
  16. 76. Stuart Armstrong - AI: Humanity's Endgame?

    Publicerades: 2021-03-24
  17. 75. Georg Northoff - Consciousness and AI

    Publicerades: 2021-03-17
  18. 74. Ethan Perez - Making AI safe through debate

    Publicerades: 2021-03-10
  19. 73. David Roodman - Economic history and the road to the singularity

    Publicerades: 2021-03-03
  20. 72. Margot Gerritsen - Does AI have to be understandable to be ethical?

    Publicerades: 2021-02-24

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Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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