All lexrecap
2020
Cristos Goodrow: YouTube Algorithm #68
01-25Paul Krugman: Economics of Innovation, Automation, Safety Nets & UBI #67
01-21Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems #66
01-17Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI #65
01-14Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics #64
01-07Stephen Kotkin: Stalin, Putin, and the Nature of Power #63
01-032019
Donald Knuth: Algorithms, Complexity, and The Art of Computer Programming #62
12-30Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI #61
12-28Jim Gates: Supersymmetry, String Theory and Proving Einstein Right #60
12-25Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education #59
12-21Michael Stevens: Vsauce #58
12-17Rohit Prasad: Amazon Alexa and Conversational AI #57
12-14Judea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI #56
12-11Whitney Cummings: Comedy, Robotics, Neurology, and Love #55
12-05Ray Dalio: Principles, the Economic Machine, AI & the Arc of Life #54
12-02Noam Chomsky: Language, Cognition, and Deep Learning #53
11-29Gilbert Strang: Linear Algebra, Teaching, and MIT OpenCourseWare #52
11-25Dava Newman: Space Exploration, Space Suits, and Life on Mars #51
11-22Michael Kearns: Algorithmic Fairness, Privacy & Ethics #50
11-19Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot #49
11-12Bjarne Stroustrup: C++ #48
11-07Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation #47
11-01Garry Kasparov: Chess, Deep Blue, AI, and Putin #46
10-27Michio Kaku: Future of Humans, Aliens, Space Travel & Physics #45
10-22David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI #44
10-11Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI #43
10-03Peter Norvig: Artificial Intelligence: A Modern Approach #42
09-30Leonard Susskind: Quantum Mechanics, String Theory and Black Holes #41
09-26Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment #40
09-23Colin Angle: iRobot CEO #39
09-19François Chollet: Keras, Deep Learning, and the Progress of AI #38
09-14Vijay Kumar: Flying Robots #37
09-08Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning #36
08-31Jeremy Howard: fast.ai Deep Learning Courses and Research #35
08-27Pamela McCorduck: Machines Who Think and the Early Days of AI #34
08-23Keoki Jackson: Lockheed Martin #33
08-19Paola Arlotta: Brain Development from Stem Cell to Organoid #32
08-12George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles #31
08-05Kevin Scott: Microsoft CTO #30
08-01Gustav Soderstrom: Spotify #29
07-29Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPA #28
07-22Kai-Fu Lee: AI Superpowers - China and Silicon Valley #27
07-15Sean Carroll: The Nature of the Universe, Life, and Intelligence #26
07-10Jeff Hawkins: Thousand Brains Theory of Intelligence #25
07-01Rosalind Picard: Affective Computing, Emotion, Privacy, and Health #24
06-17Gavin Miller: Adobe Research #23
06-10Rajat Monga: TensorFlow #22
06-03Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators #21
05-13Oriol Vinyals: DeepMind AlphaStar, StarCraft, and Language #20
04-29Ian Goodfellow: Generative Adversarial Networks (GANs) #19
04-18