Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Opublikowany: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Opublikowany: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Opublikowany: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Opublikowany: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Opublikowany: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Opublikowany: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Opublikowany: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Opublikowany: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Opublikowany: 4.10.2024 -
Ben Goertzel on "Superintelligence"
Opublikowany: 1.10.2024 -
Taming Silicon Valley - Prof. Gary Marcus
Opublikowany: 24.09.2024 -
Prof. Mark Solms - The Hidden Spring
Opublikowany: 18.09.2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Opublikowany: 16.09.2024 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Opublikowany: 13.09.2024 -
Cohere's SVP Technology - Saurabh Baji
Opublikowany: 12.09.2024 -
David Hanson's Vision for Sentient Robots
Opublikowany: 10.09.2024 -
The Fabric of Knowledge - David Spivak
Opublikowany: 5.09.2024 -
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Opublikowany: 28.08.2024 -
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Opublikowany: 25.08.2024 -
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Opublikowany: 22.08.2024
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/).
