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Obrázek epizody #115 – Dileep George: Brain-Inspired AI

#115 – Dileep George: Brain-Inspired AI

Obrázek epizody #115 – Dileep George: Brain-Inspired AI

Poslechněte si podcast

15. 8. 2020

2 hod 10 min

O epizodě podcastu

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 If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here's the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. 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

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

If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter , LinkedIn , Facebook , Medium , or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts , follow on Spotify , or support it on Patreon .

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

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

Popis podcastu

Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.