Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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Dr. Paul Lessard - Categorical/Structured Deep Learning
Opublikowany: 1.04.2024 -
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Opublikowany: 20.03.2024 -
Prof. Nick Chater - The Language Game (Part 1)
Opublikowany: 1.03.2024 -
Kenneth Stanley created a new social network based on serendipity and divergence
Opublikowany: 28.02.2024 -
Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Opublikowany: 13.02.2024 -
Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos
Opublikowany: 3.02.2024 -
Mahault Albarracin - Cognitive Science
Opublikowany: 14.01.2024 -
$450M AI Startup In 3 Years | Chai AI
Opublikowany: 9.01.2024 -
DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya
Opublikowany: 7.01.2024 -
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Opublikowany: 26.12.2023 -
Prof. BERT DE VRIES - ON ACTIVE INFERENCE
Opublikowany: 20.11.2023 -
MULTI AGENT LEARNING - LANCELOT DA COSTA
Opublikowany: 5.11.2023 -
THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
Opublikowany: 29.10.2023 -
DR. JEFF BECK - THE BAYESIAN BRAIN
Opublikowany: 16.10.2023 -
Prof. Melanie Mitchell 2.0 - AI Benchmarks are Broken!
Opublikowany: 10.09.2023 -
Autopoitic Enactivism and the Free Energy Principle - Prof. Friston, Prof Buckley, Dr. Ramstead
Opublikowany: 5.09.2023 -
STEPHEN WOLFRAM 2.0 - Resolving the Mystery of the Second Law of Thermodynamics
Opublikowany: 15.08.2023 -
Prof. Jürgen Schmidhuber - FATHER OF AI ON ITS DANGERS
Opublikowany: 14.08.2023 -
Can We Develop Truly Beneficial AI? George Hotz and Connor Leahy
Opublikowany: 4.08.2023 -
Dr. MAXWELL RAMSTEAD - The Physics of Survival
Opublikowany: 16.07.2023
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/).
