Yang-Hui He is a mathematical physicist and pioneer in the usage of artificial intelligence and machine learning in pure mathematics and theoretical physics.
Today’s topics include:
The mathematical foundations of the laws of nature
Misconceptions about geometry
The search for a ‘theory of everything’, leading to the rise of string theory
Artificial intelligence and its applications in fundamental sciences
And Yang’s pioneering use of machine learning in string theory and beyond
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Episode links
Machine Learning in Pure Mathematics and Theoretical Physics
The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning
Timestamps
For video episode:
0:00 Intro
2:17 The London Mathematical Society and the Royal Institution of Great Britain
5:06 Public communication of science and maths
8:16 Mathematical foundations of the laws of nature
10:30 Role of geometry in physics
14:12 Misconceptions in geometry
17:24 Einstein and curved spacetime
26:30 Dimensions of space and time
30:03 String theory and it's motivations
42:14 Machine learning in string theory
49:34 The multiverse
55:26 Machine learning in theoretical physics and mathematics
1:02:58 Can we have an AI mathematician?
1:09:21 Advice for aspiring string theorists
1:12:00 AI, music, theorem proving, and beauty
1:22:20 Who should represent humanity to an AI superintelligence
Yang-Hui He: String Theory and Machine Learning