Machine Learning Street Talk (MLST)
En podcast av Machine Learning Street Talk (MLST)
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Kategorier:
205 Avsnitt
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The Social Dilemma Part 3 - Dr. Rebecca Roache
Publicerades: 2020-10-11 -
The Social Dilemma - Part 2
Publicerades: 2020-10-06 -
The Social Dilemma - Part 1
Publicerades: 2020-10-03 -
Capsule Networks and Education Targets
Publicerades: 2020-09-29 -
Programming Languages, Software Engineering and Machine Learning
Publicerades: 2020-09-25 -
Computation, Bayesian Model Selection, Interactive Articles
Publicerades: 2020-09-22 -
Kernels!
Publicerades: 2020-09-18 -
Explainability, Reasoning, Priors and GPT-3
Publicerades: 2020-09-16 -
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Publicerades: 2020-09-14 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Publicerades: 2020-09-07 -
Sayak Paul
Publicerades: 2020-07-17 -
Robert Lange on NN Pruning and Collective Intelligence
Publicerades: 2020-07-08 -
WelcomeAIOverlords (Zak Jost)
Publicerades: 2020-06-30 -
Facebook Research - Unsupervised Translation of Programming Languages
Publicerades: 2020-06-24 -
Francois Chollet - On the Measure of Intelligence
Publicerades: 2020-06-19 -
OpenAI GPT-3: Language Models are Few-Shot Learners
Publicerades: 2020-06-06 -
Jordan Edwards: ML Engineering and DevOps on AzureML
Publicerades: 2020-06-03 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Publicerades: 2020-06-02 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Publicerades: 2020-05-25 -
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Publicerades: 2020-05-22
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/).