Machine Learning Street Talk (MLST)
Un pódcast de Machine Learning Street Talk (MLST)
Categorías:
208 Episodo
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Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Publicado: 11/11/2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Publicado: 6/11/2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Publicado: 4/11/2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Publicado: 24/10/2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Publicado: 23/10/2024 -
Dr. Sanjeev Namjoshi - Active Inference
Publicado: 22/10/2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Publicado: 20/10/2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Publicado: 19/10/2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Publicado: 12/10/2024 -
Bold AI Predictions From Cohere Co-founder
Publicado: 10/10/2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Publicado: 4/10/2024 -
Ben Goertzel on "Superintelligence"
Publicado: 1/10/2024 -
Taming Silicon Valley - Prof. Gary Marcus
Publicado: 24/9/2024 -
Prof. Mark Solms - The Hidden Spring
Publicado: 18/9/2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Publicado: 16/9/2024 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Publicado: 13/9/2024 -
Cohere's SVP Technology - Saurabh Baji
Publicado: 12/9/2024 -
David Hanson's Vision for Sentient Robots
Publicado: 10/9/2024 -
The Fabric of Knowledge - David Spivak
Publicado: 5/9/2024 -
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Publicado: 28/8/2024
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/).
