Machine Learning Street Talk (MLST)

Een podcast door Machine Learning Street Talk (MLST)

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216 Afleveringen

  1. Taming Silicon Valley - Prof. Gary Marcus

    Gepubliceerd: 24-9-2024
  2. Prof. Mark Solms - The Hidden Spring

    Gepubliceerd: 18-9-2024
  3. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Gepubliceerd: 16-9-2024
  4. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Gepubliceerd: 13-9-2024
  5. Cohere's SVP Technology - Saurabh Baji

    Gepubliceerd: 12-9-2024
  6. David Hanson's Vision for Sentient Robots

    Gepubliceerd: 10-9-2024
  7. The Fabric of Knowledge - David Spivak

    Gepubliceerd: 5-9-2024
  8. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Gepubliceerd: 28-8-2024
  9. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Gepubliceerd: 25-8-2024
  10. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Gepubliceerd: 22-8-2024
  11. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Gepubliceerd: 21-8-2024
  12. Gary Marcus' keynote at AGI-24

    Gepubliceerd: 17-8-2024
  13. Is ChatGPT an N-gram model on steroids?

    Gepubliceerd: 15-8-2024
  14. Jay Alammar on LLMs, RAG, and AI Engineering

    Gepubliceerd: 11-8-2024
  15. Can AI therapy be more effective than drugs?

    Gepubliceerd: 8-8-2024
  16. Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

    Gepubliceerd: 29-7-2024
  17. Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

    Gepubliceerd: 28-7-2024
  18. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Gepubliceerd: 18-7-2024
  19. Prof. Murray Shanahan - Machines Don't Think Like Us

    Gepubliceerd: 14-7-2024
  20. David Chalmers - Reality+

    Gepubliceerd: 8-7-2024

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

Visit the podcast's native language site