Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Vladimir Vapnik is the co-inventor of support vector machines,
support vector clustering, VC theory, and many foundational ideas
in statistical learning. He was born in the Soviet Union, worked at
the Institute of Control Sciences in Moscow, then in the US, worked
at AT&T, NEC Labs, Facebook AI Research, and now is a professor
at Columbia University. His work has been cited over 200,000 times.
This conversation is part of the Artificial Intelligence
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"LexPodcast".  Here's the outline of the episode. On some
podcast players you should be able to click the timestamp to jump
to that time. 00:00 - Introduction 02:55 - Alan Turing: science and
engineering of intelligence 09:09 - What is a predicate? 14:22 -
Plato's world of ideas and world of things 21:06 - Strong and weak
convergence 28:37 - Deep learning and the essence of intelligence
50:36 - Symbolic AI and logic-based systems 54:31 - How hard is 2D
image understanding? 1:00:23 - Data 1:06:39 - Language 1:14:54 -
Beautiful idea in statistical theory of learning 1:19:28 -
Intelligence and heuristics 1:22:23 - Reasoning 1:25:11 - Role of
philosophy in learning theory 1:31:40 - Music (speaking in Russian)
1:35:08 - Mortality