Machine Learning: How Did We Get Here?
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Latest episodes
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From Philosophy to Machine Learning with Bruce Buchanan
May 18, 2026 · 38 minTom sits down with Bruce Buchanan, a PhD Philosopher turned machine learning researcher. Bruce produced a key milestone for machine learning in the 1970s by creating the first program that discovered new symbolic knowledge publishable in…
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AI Agents to Model Human Cognition with John Laird
May 11, 2026 · 33 minTom chats with John Laird, who has spent the past 40 years trying to build an AI agent that accomplishes the full range of human cognitive abilities, beginning with his 1980s PhD research on the SOAR model of human cognition with Allen…
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Machine Learning and Speech Recognition with Kai-Fu Lee
May 4, 2026 · 39 minTom meets with Kai-Fu Lee, a pioneer in using machine learning to significantly advance speech recognition. Kai-Fu, former president of Google China and now Chairman of Sinovation Ventures and CEO of 01.AI, has led speech, machine learning…
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Machine Learning meets Cognitive Neuroscience with Jay McClelland
April 27, 2026 · 1 hr 3 minWhat is the relationship between neural network approaches in machine learning, and real neural networks in the brain? Today's guest Jay McClelland is a cognitive scientist who has spent decades studying this question. Jay is Lucie Stern…
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Learning Probabilistic Models with Daphne Koller
April 20, 2026 · 40 minTom interviews Daphne Koller, a Stanford professor turned serial entrepreneur. Daphne is widely known for her research at the intersection of machine learning and probabilistic reasoning. Daphne is a member of the U.S. National Academy of…
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Self-Driving Cars in the 1980s (!) with Dean Pomerleau
April 13, 2026 · 33 minTom meets with Dr. Dean Pomerleau, who as a CMU PhD student in the 1980s was the first person to demonstrate that a neural network could be trained to automatically steer a self-driving vehicle. Dean's results shocked the research…
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Machine Learning Meets Statistics with Michael I. Jordan
April 6, 2026 · 1 hr 1 minTom sits down with Michael I. Jordan, Director of Rearch at Inria and Professor Emeritus of the Departments of EECS and Statistics, University of California, Berkeley. Michael has been a major contributor to machine learning, especially at…
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Machine Learning Theory with Leslie Valiant
March 30, 2026 · 21 minWhat would a "theory" of machine learning tell us? In this episode Tom meets with the person who invented what is now the widely accepted definition of supervised machine learning: Turing Award recipient and Harvard Professor Leslie…
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Decision Tree Learning with Ross Quinlan
March 23, 2026 · 24 minTom speaks with Ross Quinlan, whose algorithms C4.5 and ID3 helped establish decision trees as one of the most popular approaches in machine learning, and who founded RuleQuest Research, which accelerated the commercial adoption of machine…
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Reinforcement Learning with Rich Sutton
March 16, 2026 · 34 minTom interviews Rich Sutton, Research Scientist at Keen Technologies, Professor of Computing Science at the University of Alberta and co-winner of the 2024 ACM Turing Award for his foundational research on reinforcement learning. Rich…
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The Chaotic Evolution of the Field with Tom Dietterich
March 9, 2026 · 1 hr 5 minTom discusses the chaotic evolution of the field of machine learning with Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. Tom has made numerous research contributions to the field, and has served in…
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A University and Corporate Perspective with Yann LeCun
March 2, 2026 · 1 hr 21 minTom sits down with Yann LeCun, the Jacob T. Schwartz Professor of Computer Science at NYU, and Executive Chairman of Advanced Machine Intelligence Labs. Yann is co-winner of the 2018 ACM Turing Award for his research in neural network…

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