The Intricacies of Object Localization in Computer Vision

Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal researchers in the history of machine learning. Please support this podcast by checking out our sponsors:
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Books and resources mentioned:
Self-supervised learning (article): https://bit.ly/3Aau1DQ

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:58) – Self-supervised learning
(17:17) – Vision vs language
(23:08) – Statistics
(28:55) – Three challenges of machine learning
(34:45) – Chess
(42:47) – Animals and intelligence
(52:31) – Data augmentation
(1:13:51) – Multimodal learning
(1:25:40) – Consciousness
(1:30:25) – Intrinsic vs learned ideas
(1:34:37) – Fear of death
(1:42:29) – Artificial Intelligence
(1:56:18) – Facebook AI Research
(2:12:56) – NeurIPS
(2:29:08) – Complexity
(2:37:33) – Music
(2:42:28) – Advice for young people