Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

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/).

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Episoder(271)

#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

Dr. Ishan Misra is a Research Scientist at Facebook AI Research where he works on Computer Vision and Machine Learning. His main research interest is reducing the need for human supervision, and indee...

21 Jun 20211h 36min

#54 Gary Marcus and Luis Lamb - Neurosymbolic models

#54 Gary Marcus and Luis Lamb - Neurosymbolic models

Professor Gary Marcus is a scientist, best-selling author, and entrepreneur. He is Founder and CEO of Robust.AI, and was Founder and CEO of Geometric Intelligence, a machine learning company acquired ...

4 Jun 20212h 24min

#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)

Bob Coercke is a celebrated physicist, he's been a Physics and Quantum professor at Oxford University for the last 20 years. He is particularly interested in Structure which is to say, Logic, Order, a...

19 Mai 20212h 17min

#52 - Unadversarial Examples (Hadi Salman, MIT)

#52 - Unadversarial Examples (Hadi Salman, MIT)

Performing reliably on unseen or shifting data distributions is a difficult challenge for modern vision systems, even slight corruptions or transformations of images are enough to slash the accuracy o...

1 Mai 20211h 48min

#51 Francois Chollet - Intelligence and Generalisation

#51 Francois Chollet - Intelligence and Generalisation

In today's show we are joined by Francois Chollet, I have been inspired by Francois ever since I read his Deep Learning with Python book and started using the Keras library which he invented many, man...

16 Apr 20212h 1min

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first object detection algorithms, the inceptionnet architecture, and co-invente...

4 Apr 20211h 33min

#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)

The race is on, we are on a collective mission to understand and create artificial general intelligence. Dr. Tom Zahavy, a Research Scientist at DeepMind thinks that reinforcement learning is the most...

23 Mar 20211h 25min

#48 Machine Learning Security - Andy Smith

#48 Machine Learning Security - Andy Smith

First episode in a series we are doing on ML DevOps. Starting with the thing which nobody seems to be talking about enough, security! We chat with cyber security expert Andy Smith about threat modelli...

16 Mar 202137min

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