Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
217 Avsnitt
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PERPLEXITY AI - The future of search.
Publicerades: 2023-05-08 -
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)
Publicerades: 2023-04-16 -
Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction
Publicerades: 2023-04-10 -
#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY
Publicerades: 2023-04-02 -
#111 - AI moratorium, Eliezer Yudkowsky, AGI risk etc
Publicerades: 2023-04-01 -
#110 Dr. STEPHEN WOLFRAM - HUGE ChatGPT+Wolfram announcement!
Publicerades: 2023-03-23 -
#109 - Dr. DAN MCQUILLAN - Resisting AI
Publicerades: 2023-03-20 -
#108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
Publicerades: 2023-03-16 -
#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding
Publicerades: 2023-03-13 -
#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
Publicerades: 2023-03-11 -
#105 - Dr. MICHAEL OLIVER [CSO - Numerai]
Publicerades: 2023-03-04 -
#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Publicerades: 2023-02-22 -
#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy
Publicerades: 2023-02-11 -
#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism
Publicerades: 2023-02-11 -
#101 DR. WALID SABA - Extrapolation, Compositionality and Learnability
Publicerades: 2023-02-10 -
#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation
Publicerades: 2023-02-10 -
#99 - CARLA CREMER & IGOR KRAWCZUK - X-Risk, Governance, Effective Altruism
Publicerades: 2023-02-05 -
[NO MUSIC] #98 - Prof. LUCIANO FLORIDI - ChatGPT, Singularitarians, Ethics, Philosophy of Information
Publicerades: 2023-02-03 -
#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information
Publicerades: 2023-02-03 -
#97 SREEJAN KUMAR - Human Inductive Biases in Machines from Language
Publicerades: 2023-01-28
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/).