Lex Fridman - Season 3 / Year 2019
Season 3 / Year 2019
Episodes
Tomaso Poggio: Brains, Minds, and Machines
Kyle Vogt: Cruise Automation
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
Eric Weinstein: Revolutionary Ideas in Science, Math, and Society
Greg Brockman: OpenAI and AGI
Elon Musk: Tesla Autopilot
Ian Goodfellow: Generative Adversarial Networks (GANs)
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
Siraj Raval: School of AI and Online Education
Rajat Monga: TensorFlow
Gavin Miller: Adobe Research
Rosalind Picard: Affective Computing, Emotion, Privacy, and Health
Jeff Hawkins: Thousand Brains Theory of Intelligence
Sean Carroll: The Nature of the Universe, Life, and Intelligence
Kai-Fu Lee: AI Superpowers – China and Silicon Valley
Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPA
Gustav Soderstrom: Spotify
Kevin Scott: Microsoft CTO
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles
Paola Arlotta: Brain Development from Stem Cell to Organoid
Keoki Jackson: Lockheed Martin
Pamela McCorduck: Machines Who Think and the Early Days of AI
Jeremy Howard: fast.ai Deep Learning Courses and Research
Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
Vijay Kumar: Flying Robots
François Chollet: Keras, Deep Learning, and the Progress of AI
Colin Angle: iRobot
Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes
Peter Norvig: Artificial Intelligence: A Modern Approach
Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
Michio Kaku: Future of Humans, Aliens, Space Travel & Physics
Garry Kasparov: Chess, Deep Blue, AI, and Putin
Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation
Bjarne Stroustrup: C++
Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot
Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
Dava Newman: Space Exploration, Space Suits, and Life on Mars
Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare
Noam Chomsky: Language, Cognition, and Deep Learning
Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life
Whitney Cummings: Comedy, Robotics, Neurology, and Love
Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
Rohit Prasad: Amazon Alexa and Conversational AI
Michael Stevens: Vsauce
Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education
Jim Gates: Supersymmetry, String Theory and Proving Einstein Right
Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming
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