Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist who is the founder and CEO of Wolfram Research, a company behind Mathematica, Wolfram Alpha, Wolfram Language, and the new Wolfram Physics project. He is the author of several books including A New Kind of Science, which on a personal note was one of the most influential books in my journey in computer science and artificial intelligence.

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Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics

Search the Record

Manolis Kellis Episodes Around April 18, 2020

#73 – Andrew Ng: Deep Learning, Education, and Real-World AI

#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI

#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI

#76 – John Hopfield: Physics View of the Mind and Neurobiology

#77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

#78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science

#79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution

#80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of Money

#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

#82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game

#83 – Nick Bostrom: Simulation and Superintelligence

#85 – Roger Penrose: Physics of Consciousness and the Infinite Universe

#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

#87 – Richard Dawkins: Evolution, Intelligence, Simulation, and Memes

#88 – Eric Weinstein: Geometric Unity and the Call for New Ideas, Leaders & Institutions

#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics

#90 – Dmitry Korkin: Computational Biology of Coronavirus

#91 – Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence

#92 – Harry Cliff: Particle Physics and the Large Hadron Collider

#93 – Daphne Koller: Biomedicine and Machine Learning

#94 – Ilya Sutskever: Deep Learning

#95 – Dawn Song: Adversarial Machine Learning and Computer Security

#96 – Stephen Schwarzman: Going Big in Business, Investing, and AI

#97 – Sertac Karaman: Robots That Fly and Robots That Drive

#99 – Karl Friston: Neuroscience and the Free Energy Principle

#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality

#102 – Steven Pressfield: The War of Art

#103 – Ben Goertzel: Artificial General Intelligence

#104 – David Patterson: Computer Architecture and Data Storage

#105 – Robert Langer: Edison of Medicine

#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind

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