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Max Tegmark: Life 3.0
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Christof Koch: Consciousness
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Steven Pinker: AI in the Age of Reason
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Yoshua Bengio: Deep Learning
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Vladimir Vapnik: Statistical Learning
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Guido van Rossum: Python
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Jeff Atwood: Stack Overflow and Coding Horror
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Eric Schmidt: Google
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Stuart Russell: Long-Term Future of AI
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Pieter Abbeel: Deep Reinforcement Learning
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Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs
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Tuomas Sandholm: Poker and Game Theory
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Tomaso Poggio: Brains, Minds, and Machines
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Kyle Vogt: Cruise Automation
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Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
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Eric Weinstein: Revolutionary Ideas in Science, Math, and Society
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Greg Brockman: OpenAI and AGI
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Elon Musk: Tesla Autopilot
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Ian Goodfellow: Generative Adversarial Networks (GANs)
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Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
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Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
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Rajat Monga: TensorFlow
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Gavin Miller: Adobe Research
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Rosalind Picard: Affective Computing, Emotion, Privacy, and Health
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Jeff Hawkins: Thousand Brains Theory of Intelligence
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Sean Carroll: The Nature of the Universe, Life, and Intelligence
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Kai-Fu Lee: AI Superpowers – China and Silicon Valley
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Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPA
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Gustav Soderstrom: Spotify
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Kevin Scott: Microsoft CTO
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George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles
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Paola Arlotta: Brain Development from Stem Cell to Organoid
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Keoki Jackson: Lockheed Martin
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Pamela McCorduck: Machines Who Think and the Early Days of AI
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Jeremy Howard: fast.ai Deep Learning Courses and Research
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Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
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Vijay Kumar: Flying Robots
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François Chollet: Keras, Deep Learning, and the Progress of AI
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Colin Angle: iRobot
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Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
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Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes
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Peter Norvig: Artificial Intelligence: A Modern Approach
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Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI
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David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
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Michio Kaku: Future of Humans, Aliens, Space Travel & Physics
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Garry Kasparov: Chess, Deep Blue, AI, and Putin
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Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation
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Bjarne Stroustrup: C++
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Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot
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Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
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Dava Newman: Space Exploration, Space Suits, and Life on Mars
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Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare
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Noam Chomsky: Language, Cognition, and Deep Learning
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Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life
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Whitney Cummings: Comedy, Robotics, Neurology, and Love
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Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
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Rohit Prasad: Amazon Alexa and Conversational AI
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Michael Stevens: Vsauce
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Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education
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Jim Gates: Supersymmetry, String Theory and Proving Einstein Right
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Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
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Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming
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Stephen Kotkin: Stalin, Putin, and the Nature of Power
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Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics
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Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
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Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems
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Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income
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Cristos Goodrow: YouTube Algorithm
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David Chalmers: The Hard Problem of Consciousness
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Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
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Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
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#72 – Scott Aaronson: Quantum Computing
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#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
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#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
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#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
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#76 – John Hopfield: Physics View of the Mind and Neurobiology
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#77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science
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#78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science
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#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering
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#82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game
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#83 – Nick Bostrom: Simulation and Superintelligence
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#85 – Roger Penrose: Physics of Consciousness and the Infinite Universe
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#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning
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#87 – Richard Dawkins: Evolution, Intelligence, Simulation, and Memes
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#88 – Eric Weinstein: Geometric Unity and the Call for New Ideas, Leaders & Institutions
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#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics
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#90 – Dmitry Korkin: Computational Biology of Coronavirus
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#91 – Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence
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#92 – Harry Cliff: Particle Physics and the Large Hadron Collider
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#93 – Daphne Koller: Biomedicine and Machine Learning
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#94 – Ilya Sutskever: Deep Learning
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#95 – Dawn Song: Adversarial Machine Learning and Computer Security
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#102 – Steven Pressfield: The War of Art
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#103 – Ben Goertzel: Artificial General Intelligence
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