Machine Learning Street Talk (MLST)

217 Épisodes

1. Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]

   Publié: 26/12/2023
2. Prof. BERT DE VRIES - ON ACTIVE INFERENCE

   Publié: 20/11/2023
3. MULTI AGENT LEARNING - LANCELOT DA COSTA

   Publié: 05/11/2023
4. THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]

   Publié: 29/10/2023
5. DR. JEFF BECK - THE BAYESIAN BRAIN

   Publié: 16/10/2023
6. Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!

   Publié: 10/09/2023
7. Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead

   Publié: 05/09/2023
8. STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics

   Publié: 15/08/2023
9. Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS

   Publié: 14/08/2023
10. Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy

    Publié: 04/08/2023
11. Dr. MAXWELL RAMSTEAD - The Physics of Survival

    Publié: 16/07/2023
12. MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]

    Publié: 02/07/2023
13. [SPONSORED] The Digitized Self: AI, Identity and the Human Psyche (YouAi)

    Publié: 29/06/2023
14. Joscha Bach and Connor Leahy on AI risk

    Publié: 20/06/2023
15. Neel Nanda - Mechanistic Interpretability

    Publié: 18/06/2023
16. Prof. Daniel Dennett - Could AI Counterfeit People Destroy Civilization? (SPECIAL EDITION)

    Publié: 04/06/2023
17. Decoding the Genome: Unraveling the Complexities with AI and Creativity [Prof. Jim Hughes, Oxford]

    Publié: 31/05/2023
18. ROBERT MILES - "There is a good chance this kills everyone"

    Publié: 21/05/2023
19. AI Senate Hearing - Executive Summary (Sam Altman, Gary Marcus)

    Publié: 16/05/2023
20. Future of Generative AI [David Foster]

    Publié: 11/05/2023