Machine Learning Street Talk (MLST)
En podcast af Machine Learning Street Talk (MLST)
Kategorier:
186 Episoder
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The Elegant Math Behind Machine Learning - Anil Ananthaswamy
Udgivet: 4.11.2024 -
Michael Levin - Why Intelligence Isn't Limited To Brains.
Udgivet: 24.10.2024 -
Speechmatics CTO - Next-Generation Speech Recognition
Udgivet: 23.10.2024 -
Dr. Sanjeev Namjoshi - Active Inference
Udgivet: 22.10.2024 -
Joscha Bach - Why Your Thoughts Aren't Yours.
Udgivet: 20.10.2024 -
Decompiling Dreams: A New Approach to ARC? - Alessandro Palmarini
Udgivet: 19.10.2024 -
It's Not About Scale, It's About Abstraction - Francois Chollet
Udgivet: 12.10.2024 -
Bold AI Predictions From Cohere Co-founder
Udgivet: 10.10.2024 -
Open-Ended AI: The Key to Superhuman Intelligence? - Prof. Tim Rocktäschel
Udgivet: 4.10.2024 -
Ben Goertzel on "Superintelligence"
Udgivet: 1.10.2024 -
Taming Silicon Valley - Prof. Gary Marcus
Udgivet: 24.9.2024 -
Prof. Mark Solms - The Hidden Spring
Udgivet: 18.9.2024 -
Patrick Lewis (Cohere) - Retrieval Augmented Generation
Udgivet: 16.9.2024 -
Ashley Edwards - Genie Paper (DeepMind/Runway)
Udgivet: 13.9.2024 -
Cohere's SVP Technology - Saurabh Baji
Udgivet: 12.9.2024 -
David Hanson's Vision for Sentient Robots
Udgivet: 10.9.2024 -
The Fabric of Knowledge - David Spivak
Udgivet: 5.9.2024 -
Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs
Udgivet: 28.8.2024 -
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Udgivet: 25.8.2024 -
Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)
Udgivet: 22.8.2024
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/).
