Machine Learning Street Talk (MLST)
Un pódcast de Machine Learning Street Talk (MLST)
243 Episodo
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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 -
Robert Lange on NN Pruning and Collective Intelligence
Publicado: 8/7/2020 -
WelcomeAIOverlords (Zak Jost)
Publicado: 30/6/2020 -
Facebook Research - Unsupervised Translation of Programming Languages
Publicado: 24/6/2020 -
Francois Chollet - On the Measure of Intelligence
Publicado: 19/6/2020 -
OpenAI GPT-3: Language Models are Few-Shot Learners
Publicado: 6/6/2020 -
Jordan Edwards: ML Engineering and DevOps on AzureML
Publicado: 3/6/2020 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Publicado: 2/6/2020 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Publicado: 25/5/2020 -
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Publicado: 22/5/2020 -
ICLR 2020: Yann LeCun and Energy-Based Models
Publicado: 19/5/2020 -
The Lottery Ticket Hypothesis with Jonathan Frankle
Publicado: 19/5/2020
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/).
