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Dileep George: Brain-Inspired AI | Lex Fridman Podcast #115

Dileep George is a researcher at the intersection of neuroscience and artificial intelligence, co-founder of Vicarious, formerly co-founder of Numenta. From the early work on Hierarchical temporal memory to Recursive Cortical Networks to today, Dileep's always sought to engineer intelligence that is closely inspired by the human brain. Support this channel by supporting our sponsors. Click links, get discount: - Babbel: https://babbel.com and use code LEX - MasterClass: https://masterclass.com/lex - Raycon: https://buyraycon.com/lex EPISODE LINKS: Dileep's Twitter: https://twitter.com/dileeplearning Vicarious Research: https://www.vicarious.com/science PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 4:50 - Building a model of the brain 17:11 - Visual cortex 27:50 - Probabilistic graphical models 31:35 - Encoding information in the brain 36:56 - Recursive Cortical Network 51:09 - Solving CAPTCHAs algorithmically 1:06:48 - Hype around brain-inspired AI 1:18:21 - How does the brain learn? 1:21:32 - Perception and cognition 1:25:43 - Open problems in brain-inspired AI 1:30:33 - GPT-3 1:40:41 - Memory 1:45:08 - Neuralink 1:51:32 - Consciousness 1:57:59 - Book recommendations 2:06:49 - Meaning of life CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

Lex FridmanhostDileep Georgeguest
Aug 14, 20202h 10mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 4:50

    Introduction

  2. 4:50 – 17:11

    Building a model of the brain

  3. 17:11 – 27:50

    Visual cortex

  4. 27:50 – 31:35

    Probabilistic graphical models

  5. 31:35 – 36:56

    Encoding information in the brain

  6. 36:56 – 51:09

    Recursive Cortical Network

  7. 51:09 – 1:06:48

    Solving CAPTCHAs algorithmically

  8. 1:06:48 – 1:18:21

    Hype around brain-inspired AI

  9. 1:18:21 – 1:21:32

    How does the brain learn?

  10. 1:21:32 – 1:25:43

    Perception and cognition

  11. 1:25:43 – 1:30:33

    Open problems in brain-inspired AI

  12. 1:51:32 – 1:57:59

    Consciousness

  13. 1:57:59 – 2:06:49

    Book recommendations

  14. 2:06:49 – 2:10:05

    Meaning of life

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