Скачать или смотреть This Physics & Artificial Neural Network Equivalence Can Revolutionize AI

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In this video, Dr. Ardavan (Ahmad) Borzou will discuss the mathematical equivalence of artificial neural networks and a spin system (Ising Model) in physics, and how this equivalence can transfer centuries of physics literature into how we build and train artificial neural networks.
The level of technicality in this video varies. Except for the last few chapters, the rest are at the elementary level.

Chapters
00:00 - Introduction
01:07 - Artificial Neural Net Explained
04:02 - Ad CompuFlair Consulting Service
04:35 - Neural Network Challenges
07:17 - Meaning of Correspondence in Physics
10:04 - What is Spin in Physics?
12:06 - What is Ising Model in Physics?
13:47 - Correspondence of Neural Net & Ising Model
15:07 - Interpretation of Ising model for Neural Nets
18:51 - Importance of Symmetry
19:16 - Mathematical Proof
21:56 - How Artificial Neurons Activate
23:40 - Probability of a Single Neuron
26:03 - Probability Distribution of Neural Network
30:23 - How Symmetry Can Help
32:56 - Ad CompuFlair High Ticket Bootcamp