Towards Data Science

Podcast autorstwa The TDS team

Kategorie:

131 Odcinki

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

    Opublikowany: 7.07.2021
  2. 90. Jeffrey Ding - China’s AI ambitions and why they matter

    Opublikowany: 30.06.2021
  3. 89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!

    Opublikowany: 23.06.2021
  4. 88. Oren Etzioni - The case against (worrying about) existential risk from AI

    Opublikowany: 16.06.2021
  5. 87. Evan Hubinger - The Inner Alignment Problem

    Opublikowany: 9.06.2021
  6. 86. Andy Jones - AI Safety and the Scaling Hypothesis

    Opublikowany: 2.06.2021
  7. 85. Brian Christian - The Alignment Problem

    Opublikowany: 26.05.2021
  8. 84. Eliano Marques - The (evolving) world of AI privacy and data security

    Opublikowany: 19.05.2021
  9. 83. Rosie Campbell - Should all AI research be published?

    Opublikowany: 12.05.2021
  10. 82. Jakob Foerster - The high cost of automated weapons

    Opublikowany: 5.05.2021
  11. 81. Nicolas Miailhe - AI risk is a global problem

    Opublikowany: 28.04.2021
  12. 80. Yan Li - The Surprising Challenges of Global AI Philanthropy

    Opublikowany: 21.04.2021
  13. 79. Ryan Carey - What does your AI want?

    Opublikowany: 14.04.2021
  14. 78. Melanie Mitchell - Existential risk from AI: A skeptical perspective

    Opublikowany: 7.04.2021
  15. 77. Josh Fairfield - AI advances, but can the law keep up?

    Opublikowany: 31.03.2021
  16. 76. Stuart Armstrong - AI: Humanity's Endgame?

    Opublikowany: 24.03.2021
  17. 75. Georg Northoff - Consciousness and AI

    Opublikowany: 17.03.2021
  18. 74. Ethan Perez - Making AI safe through debate

    Opublikowany: 10.03.2021
  19. 73. David Roodman - Economic history and the road to the singularity

    Opublikowany: 3.03.2021
  20. 72. Margot Gerritsen - Does AI have to be understandable to be ethical?

    Opublikowany: 24.02.2021

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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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