Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
Opublikowany: 28.02.2021 -
#044 - Data-efficient Image Transformers (Hugo Touvron)
Opublikowany: 25.02.2021 -
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
Opublikowany: 19.02.2021 -
#042 - Pedro Domingos - Ethics and Cancel Culture
Opublikowany: 11.02.2021 -
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer
Opublikowany: 3.02.2021 -
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
Opublikowany: 31.01.2021 -
#039 - Lena Voita - NLP
Opublikowany: 23.01.2021 -
#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned
Opublikowany: 20.01.2021 -
#037 - Tour De Bayesian with Connor Tann
Opublikowany: 11.01.2021 -
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
Opublikowany: 3.01.2021 -
#035 Christmas Community Edition!
Opublikowany: 27.12.2020 -
#034 Eray Özkural- AGI, Simulations & Safety
Opublikowany: 20.12.2020 -
#033 Prof. Karl Friston - The Free Energy Principle
Opublikowany: 13.12.2020 -
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
Opublikowany: 6.12.2020 -
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
Opublikowany: 28.11.2020 -
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
Opublikowany: 20.11.2020 -
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
Opublikowany: 8.11.2020 -
NLP is not NLU and GPT-3 - Walid Saba
Opublikowany: 4.11.2020 -
AI Alignment & AGI Fire Alarm - Connor Leahy
Opublikowany: 1.11.2020 -
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Opublikowany: 28.10.2020
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/).