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