Machine Learning Street Talk (MLST)
Podcast autorstwa Machine Learning Street Talk (MLST)
Kategorie:
186 Odcinki
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Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Opublikowany: 20.10.2020 -
The Social Dilemma Part 3 - Dr. Rebecca Roache
Opublikowany: 11.10.2020 -
The Social Dilemma - Part 2
Opublikowany: 6.10.2020 -
The Social Dilemma - Part 1
Opublikowany: 3.10.2020 -
Capsule Networks and Education Targets
Opublikowany: 29.09.2020 -
Programming Languages, Software Engineering and Machine Learning
Opublikowany: 25.09.2020 -
Computation, Bayesian Model Selection, Interactive Articles
Opublikowany: 22.09.2020 -
Kernels!
Opublikowany: 18.09.2020 -
Explainability, Reasoning, Priors and GPT-3
Opublikowany: 16.09.2020 -
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Opublikowany: 14.09.2020 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Opublikowany: 7.09.2020 -
Sayak Paul
Opublikowany: 17.07.2020 -
Robert Lange on NN Pruning and Collective Intelligence
Opublikowany: 8.07.2020 -
WelcomeAIOverlords (Zak Jost)
Opublikowany: 30.06.2020 -
Facebook Research - Unsupervised Translation of Programming Languages
Opublikowany: 24.06.2020 -
Francois Chollet - On the Measure of Intelligence
Opublikowany: 19.06.2020 -
OpenAI GPT-3: Language Models are Few-Shot Learners
Opublikowany: 6.06.2020 -
Jordan Edwards: ML Engineering and DevOps on AzureML
Opublikowany: 3.06.2020 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Opublikowany: 2.06.2020 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Opublikowany: 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/).