Machine Learning Street Talk (MLST)
Un pódcast de Machine Learning Street Talk (MLST)
Categorías:
174 Episodo
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#033 Prof. Karl Friston - The Free Energy Principle
Publicado: 13/12/2020 -
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
Publicado: 6/12/2020 -
#031 WE GOT ACCESS TO GPT-3! (With Gary Marcus, Walid Saba and Connor Leahy)
Publicado: 28/11/2020 -
#030 Multi-Armed Bandits and Pure-Exploration (Wouter M. Koolen)
Publicado: 20/11/2020 -
#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
Publicado: 8/11/2020 -
NLP is not NLU and GPT-3 - Walid Saba
Publicado: 4/11/2020 -
AI Alignment & AGI Fire Alarm - Connor Leahy
Publicado: 1/11/2020 -
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Publicado: 28/10/2020 -
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Publicado: 20/10/2020 -
The Social Dilemma Part 3 - Dr. Rebecca Roache
Publicado: 11/10/2020 -
The Social Dilemma - Part 2
Publicado: 6/10/2020 -
The Social Dilemma - Part 1
Publicado: 3/10/2020 -
Capsule Networks and Education Targets
Publicado: 29/9/2020 -
Programming Languages, Software Engineering and Machine Learning
Publicado: 25/9/2020 -
Computation, Bayesian Model Selection, Interactive Articles
Publicado: 22/9/2020 -
Kernels!
Publicado: 18/9/2020 -
Explainability, Reasoning, Priors and GPT-3
Publicado: 16/9/2020 -
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Publicado: 14/9/2020 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Publicado: 7/9/2020 -
Sayak Paul
Publicado: 17/7/2020
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/).