Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
246 Episoade
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Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Publicat: 20.10.2020 -
The Social Dilemma Part 3 - Dr. Rebecca Roache
Publicat: 11.10.2020 -
The Social Dilemma - Part 2
Publicat: 06.10.2020 -
The Social Dilemma - Part 1
Publicat: 03.10.2020 -
Capsule Networks and Education Targets
Publicat: 29.09.2020 -
Programming Languages, Software Engineering and Machine Learning
Publicat: 25.09.2020 -
Computation, Bayesian Model Selection, Interactive Articles
Publicat: 22.09.2020 -
Kernels!
Publicat: 18.09.2020 -
Explainability, Reasoning, Priors and GPT-3
Publicat: 16.09.2020 -
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Publicat: 14.09.2020 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Publicat: 07.09.2020 -
Sayak Paul
Publicat: 17.07.2020 -
Robert Lange on NN Pruning and Collective Intelligence
Publicat: 08.07.2020 -
WelcomeAIOverlords (Zak Jost)
Publicat: 30.06.2020 -
Facebook Research - Unsupervised Translation of Programming Languages
Publicat: 24.06.2020 -
Francois Chollet - On the Measure of Intelligence
Publicat: 19.06.2020 -
OpenAI GPT-3: Language Models are Few-Shot Learners
Publicat: 06.06.2020 -
Jordan Edwards: ML Engineering and DevOps on AzureML
Publicat: 03.06.2020 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Publicat: 02.06.2020 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Publicat: 25.05.2020
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/).
