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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