Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
Categorie:
190 Episodio
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Nora Belrose - AI Development, Safety, and Meaning
Pubblicato: 17/11/2024 -
Why Your GPUs are underutilised for AI - CentML CEO Explains
Pubblicato: 13/11/2024 -
Eliezer Yudkowsky and Stephen Wolfram on AI X-risk
Pubblicato: 11/11/2024 -
Pattern Recognition vs True Intelligence - Francois Chollet
Pubblicato: 06/11/2024 -
The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Pubblicato: 04/11/2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Pubblicato: 24/10/2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Pubblicato: 23/10/2024 -
Dr. Sanjeev Namjoshi - Active Inference
Pubblicato: 22/10/2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Pubblicato: 20/10/2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Pubblicato: 19/10/2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Pubblicato: 12/10/2024 -
Bold AI Predictions From Cohere Co-founder
Pubblicato: 10/10/2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Pubblicato: 04/10/2024 -
Ben Goertzel on "Superintelligence"
Pubblicato: 01/10/2024 -
Taming Silicon Valley - Prof. Gary Marcus
Pubblicato: 24/09/2024 -
Prof. Mark Solms - The Hidden Spring
Pubblicato: 18/09/2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Pubblicato: 16/09/2024 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Pubblicato: 13/09/2024 -
Cohere's SVP Technology - Saurabh Baji
Pubblicato: 12/09/2024 -
David Hanson's Vision for Sentient Robots
Pubblicato: 10/09/2024
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/).
