Machine Learning Street Talk (MLST)

217 Avsnitt

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicerades: 2023-06-29
14. Joscha Bach and Connor Leahy on AI risk

    Publicerades: 2023-06-20
15. Neel Nanda - Mechanistic Interpretability

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

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

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

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

    Publicerades: 2023-05-16
20. Future of Generative AI [David Foster]

    Publicerades: 2023-05-11