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Lex Fridman Podcast
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Trailer
#
:
: 486
: 0
Podcast (All Platforms)
0
Podcast
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2024
2023
2022
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2020
2019
2018
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2019
2019x1
Tomaso Poggio: Brains, Minds, and Machines
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2019x2
Kyle Vogt: Cruise Automation
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2019x3
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
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2019x4
Eric Weinstein: Revolutionary Ideas in Science, Math, and Society
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2019x5
Greg Brockman: OpenAI and AGI
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2019x6
Elon Musk: Tesla Autopilot
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2019x7
Ian Goodfellow: Generative Adversarial Networks (GANs)
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2019x8
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
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2019x9
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
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2019x10
Siraj Raval: School of AI and Online Education
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2019x11
Rajat Monga: TensorFlow
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2019x12
Gavin Miller: Adobe Research
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2019x13
Rosalind Picard: Affective Computing, Emotion, Privacy, and Health
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2019x14
Jeff Hawkins: Thousand Brains Theory of Intelligence
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2019x15
Sean Carroll: The Nature of the Universe, Life, and Intelligence
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2019x16
Kai-Fu Lee: AI Superpowers – China and Silicon Valley
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2019x17
Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPA
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2019x18
Gustav Soderstrom: Spotify
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2019x19
Kevin Scott: Microsoft CTO
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2019x20
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles
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2019x21
Paola Arlotta: Brain Development from Stem Cell to Organoid
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2019x22
Keoki Jackson: Lockheed Martin
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2019x23
Pamela McCorduck: Machines Who Think and the Early Days of AI
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2019x24
Jeremy Howard: fast.ai Deep Learning Courses and Research
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2019x25
Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
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2019x26
Vijay Kumar: Flying Robots
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2019x27
François Chollet: Keras, Deep Learning, and the Progress of AI
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2019x28
Colin Angle: iRobot
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2019x29
Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
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2019x30
Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes
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2019x31
Peter Norvig: Artificial Intelligence: A Modern Approach
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2019x32
Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
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2019x33
David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
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2019x34
Michio Kaku: Future of Humans, Aliens, Space Travel & Physics
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2019x35
Garry Kasparov: Chess, Deep Blue, AI, and Putin
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2019x36
Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation
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2019x37
Bjarne Stroustrup: C++
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2019x38
Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot
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2019x39
Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
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2019x40
Dava Newman: Space Exploration, Space Suits, and Life on Mars
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2019x41
Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare
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2019x42
Noam Chomsky: Language, Cognition, and Deep Learning
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2019x43
Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life
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2019x44
Whitney Cummings: Comedy, Robotics, Neurology, and Love
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2019x45
Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
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2019x46
Rohit Prasad: Amazon Alexa and Conversational AI
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2019x47
Michael Stevens: Vsauce
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2019x48
Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education
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2019x49
Jim Gates: Supersymmetry, String Theory and Proving Einstein Right
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2019x50
Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
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2019x51
Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming
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