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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Jaksot(252)

#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 Touko 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 Huhti 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 Huhti 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 Maalis 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 Maalis 202137min

047 Interpretable Machine Learning - Christoph Molnar

047 Interpretable Machine Learning - Christoph Molnar

Christoph Molnar is one of the main people to know in the space of interpretable ML. In 2018 he released the first version of his incredible online book, interpretable machine learning. Interpretabili...

14 Maalis 20211h 40min

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

Academics think of themselves as trailblazers, explorers — seekers of the truth. Any fundamental discovery involves a significant degree of risk. If an idea is guaranteed to work then it moves from th...

6 Maalis 20211h 39min

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)

#045 Microsoft's Platform for Reinforcement Learning (Bonsai)

Microsoft has an interesting strategy with their new “autonomous systems” technology also known as Project Bonsai. They want to create an interface to abstract away the complexity and esoterica of dee...

28 Helmi 20212h 30min