Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

by 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/).
271 episodes Updated 9d ago Website ↗

Episodes 271 total

S1 E51

#51 Francois Chollet - Intelligence and Generalisation

Apr 16, 2021 · 2h 1m

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 K…

S1 E50

#50 Christian Szegedy - Formal Reasoning, Program Synthesis

Apr 4, 2021 · 1h 33m

Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first object detection algorithms, the i…

S1 E49

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

Mar 23, 2021 · 1h 25m

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…

S1 E48

#48 Machine Learning Security - Andy Smith

Mar 16, 2021 · 37m

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 securit…

S1 E47

047 Interpretable Machine Learning - Christoph Molnar

Mar 14, 2021 · 1h 40m

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, interp…

S1 E46

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

Mar 6, 2021 · 1h 39m

Academics think of themselves as trailblazers, explorers — seekers of the truth. Any fundamental discovery involves a significant degree of risk. If an idea is…

S1 E45

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

Feb 28, 2021 · 2h 30m

Microsoft has an interesting strategy with their new “autonomous systems” technology also known as Project Bonsai. They want to create an interface to abstract…

S1 E44

#044 - Data-efficient Image Transformers (Hugo Touvron)

Feb 25, 2021 · 52m

Today we are going to talk about the *Data-efficient image Transformers paper or (DeiT) which Hugo is the primary author of. One of the recipes of success for v…

S1 E43

#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.

Feb 19, 2021 · 1h 35m

Professor Mark Bishop does not think that computers can be conscious or have phenomenological states of consciousness unless we are willing to accept panpsychis…

S1 E42

#042 - Pedro Domingos - Ethics and Cancel Culture

Feb 11, 2021 · 1h 33m

Today we have professor Pedro Domingos and we are going to talk about activism in machine learning, cancel culture, AI ethics and kernels. In Pedro's book the m…

S1 E41

#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer

Feb 3, 2021 · 1h 26m

Dr. Simon Stringer. Obtained his Ph.D in mathematical state space control theory and has been a Senior Research Fellow at Oxford University for over 27 years. S…

S1 E40

#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)

Jan 31, 2021 · 1h 36m

Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. there's goo…

S1 E39

#039 - Lena Voita - NLP

Jan 23, 2021 · 1h 58m

ena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously, She was a research scientist at Yandex Research and worked…

S1 E38

#038 - Professor Kenneth Stanley - Why Greatness Cannot Be Planned

Jan 20, 2021 · 2h 46m

Professor Kenneth Stanley is currently a research science manager at OpenAI in San Fransisco. We've Been dreaming about getting Kenneth on the show since the ve…

S1 E37

#037 - Tour De Bayesian with Connor Tann

Jan 11, 2021 · 1h 35m

Connor Tan is a physicist and senior data scientist working for a multinational energy company where he co-founded and leads a data science team. He holds a fir…

S1 E36

#036 - Max Welling: Quantum, Manifolds & Symmetries in ML

Jan 3, 2021 · 1h 42m

Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technologies Netherlands B.V.  Max is a strong believer in the…

S1 E35

#035 Christmas Community Edition!

Dec 27, 2020 · 2h 56m

Welcome to the Christmas special community edition of MLST! We discuss some recent and interesting papers from Pedro Domingos (are NNs kernel machines?), Deepmi…

S1 E34

#034 Eray Özkural- AGI, Simulations & Safety

Dec 20, 2020 · 2h 39m

Dr. Eray Ozkural is an AGI researcher from Turkey, he is the founder of Celestial Intellect Cybernetics. Eray is extremely critical of Max Tegmark, Nick Bostrom…

S1 E32

#033 Prof. Karl Friston - The Free Energy Principle

Dec 13, 2020 · 1h 51m

This week Dr. Tim Scarfe, Dr. Keith Duggar and Connor Leahy chat with Prof. Karl Friston. Professor Friston is a British neuroscientist at University College Lo…

S1 E32

#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!

Dec 6, 2020 · 1h 30m

This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to understand how neur…