Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
Kategorier:
205 Avsnitt
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Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Publicerades: 2024-03-20 -
Prof. Nick Chater - The Language Game (Part 1)
Publicerades: 2024-03-01 -
Kenneth Stanley created a new social network based on serendipity and divergence
Publicerades: 2024-02-28 -
Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Publicerades: 2024-02-13 -
Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos
Publicerades: 2024-02-03 -
Mahault Albarracin - Cognitive Science
Publicerades: 2024-01-14 -
$450M AI Startup In 3 Years | Chai AI
Publicerades: 2024-01-09 -
DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya
Publicerades: 2024-01-07 -
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Publicerades: 2023-12-26 -
Prof. BERT DE VRIES - ON ACTIVE INFERENCE
Publicerades: 2023-11-20 -
MULTI AGENT LEARNING - LANCELOT DA COSTA
Publicerades: 2023-11-05 -
THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
Publicerades: 2023-10-29 -
DR. JEFF BECK - THE BAYESIAN BRAIN
Publicerades: 2023-10-16 -
Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!
Publicerades: 2023-09-10 -
Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead
Publicerades: 2023-09-05 -
STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics
Publicerades: 2023-08-15 -
Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS
Publicerades: 2023-08-14 -
Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy
Publicerades: 2023-08-04 -
Dr. MAXWELL RAMSTEAD - The Physics of Survival
Publicerades: 2023-07-16 -
MUNK DEBATE ON AI (COMMENTARY) [DAVID FOSTER]
Publicerades: 2023-07-02
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/).
