Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)

Categories:
217 Episodes
-
#036 - Max Welling: Quantum, Manifolds & Symmetries in ML
Published: 3/01/2021 -
#035 Christmas Community Edition!
Published: 27/12/2020 -
#034 Eray Özkural- AGI, Simulations & Safety
Published: 20/12/2020 -
#033 Prof. Karl Friston - The Free Energy Principle
Published: 13/12/2020 -
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
Published: 6/12/2020 -
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
Published: 28/11/2020 -
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
Published: 20/11/2020 -
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
Published: 8/11/2020 -
NLP is not NLU and GPT-3 - Walid Saba
Published: 4/11/2020 -
AI Alignment & AGI Fire Alarm - Connor Leahy
Published: 1/11/2020 -
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Published: 28/10/2020 -
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Published: 20/10/2020 -
The Social Dilemma Part 3 - Dr. Rebecca Roache
Published: 11/10/2020 -
The Social Dilemma - Part 2
Published: 6/10/2020 -
The Social Dilemma - Part 1
Published: 3/10/2020 -
Capsule Networks and Education Targets
Published: 29/09/2020 -
Programming Languages, Software Engineering and Machine Learning
Published: 25/09/2020 -
Computation, Bayesian Model Selection, Interactive Articles
Published: 22/09/2020 -
Kernels!
Published: 18/09/2020 -
Explainability, Reasoning, Priors and GPT-3
Published: 16/09/2020
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/).