Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning | AI Podcast

Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founding father of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast.

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Yann's Website: http://yann.lecun.com

OUTLINE:
0:00 - Introduction
1:11 - HAL 9000 and Space Odyssey 2001
7:49 - The surprising thing about deep learning
10:40 - What is learning?
18:04 - Knowledge representation
20:55 - Causal inference
24:43 - Neural networks and AI in the 1990s
34:03 - AGI and reducing ideas to practice
44:48 - Unsupervised learning
51:34 - Active learning
56:34 - Learning from very few examples
1:00:26 - Elon musk: deep learning and autonomous driving
1:03:00 - Next milestone for human-level intelligence
1:08:53 - Her
1:14:26 - Question for an AGI system

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