Machine Learning Street Talk
Author: Machine Learning Street TalkSubscribed: 253Played: 2,978
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We think that scientists and engineers are the heroes of our generation. Each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporate- and MBA-speak is banned on street talk, "data product", "digital transformation" are banned, we promise :)
Dr. Tim Scarfe, Dr. Yannic Kilcher and Dr. Keith Duggar.
#60 Geometric Deep Learning Blueprint (Special Edition)
#59 - Jeff Hawkins (Thousand Brains Theory)
#58 Dr. Ben Goertzel - Artificial General Intelligence
#57 - Prof. Melanie Mitchell - Why AI is harder than we think
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
#52 - Unadversarial Examples (Hadi Salman, MIT)
#51 Francois Chollet - Intelligence and Generalisation
#50 Christian Szegedy - Formal Reasoning, Program Synthesis
#49 - Meta-Gradients in RL - Dr. Tomas Zahavy (DeepMind)
#48 Machine Learning Security - Andy Smith
047 Interpretable Machine Learning - Christoph Molnar
#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)
#045 Microsoft's Platform for Reinforcement Learning (Bonsai)
#044 - Data-efficient Image Transformers (Hugo Touvron)
#043 Prof J. Mark Bishop - Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
#042 - Pedro Domingos - Ethics and Cancel Culture
#041 - Biologically Plausible Neural Networks - Dr. Simon Stringer