Machine Learning Street Talk (MLST)
En podcast af Machine Learning Street Talk (MLST)
Kategorier:
186 Episoder
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#64 Prof. Gary Marcus 3.0
Udgivet: 24.2.2022 -
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
Udgivet: 22.2.2022 -
#062 - Dr. Guy Emerson - Linguistics, Distributional Semantics
Udgivet: 3.2.2022 -
061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)
Udgivet: 4.1.2022 -
Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)
Udgivet: 31.10.2021 -
#60 Geometric Deep Learning Blueprint (Special Edition)
Udgivet: 19.9.2021 -
#59 - Jeff Hawkins (Thousand Brains Theory)
Udgivet: 3.9.2021 -
#58 Dr. Ben Goertzel - Artificial General Intelligence
Udgivet: 11.8.2021 -
#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Udgivet: 25.7.2021 -
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
Udgivet: 8.7.2021 -
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
Udgivet: 21.6.2021 -
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
Udgivet: 4.6.2021 -
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
Udgivet: 19.5.2021 -
#52 - Unadversarial Examples (Hadi Salman, MIT)
Udgivet: 1.5.2021 -
#51 Francois Chollet - Intelligence and Generalisation
Udgivet: 16.4.2021 -
#50 Christian Szegedy - Formal Reasoning, Program Synthesis
Udgivet: 4.4.2021 -
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
Udgivet: 23.3.2021 -
#48 Machine Learning Security - Andy Smith
Udgivet: 16.3.2021 -
047 Interpretable Machine Learning - Christoph Molnar
Udgivet: 14.3.2021 -
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
Udgivet: 6.3.2021
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/).
