We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research.

Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000. Prior to his work at Google, Norvig was NASA's chief computer scientist.

Peter's website:
https://norvig.com/

Topics covered:
0:00 singularity is in the eye of the beholder
0:32 introduction
1:09 project Euler
2:42 advent of code/pytudes
4:55 new sections in the new version of his book
10:32 unreasonable effectiveness of data Paper 15 years later
14:44 what advice would you give to a young researcher?
16:03 computing power in the evolution of deep learning
19:19 what's been surprising in the development of AI?
24:21 from alpha go to human-like intelligence
28:46 What in AI has been surprisingly hard or easy?
32:11 synthetic data and language
35:16 singularity is in the eye of the beholder
38:43 the future of python in ML and why he used it in his book
43:00 underrated topic in ML and bottlenecks in production

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