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Synopsis

In this talk, I will explore a connection between physics and artificial intelligence. I will show how simple models from physics, like the Ising model, and models from AI, like Boltzmann machines, share similar mathematical structures. This is not a coincidence, since both come from Boltzmann’s ideas in statistical mechanics about how systems move toward lower energy states. Then, I will discuss how parts of a neural network — neurons, weights, and layers — can be compared to particles, interactions, and structures in the universe. This talk does not aim to prove that the universe is literally a neural network, but rather to explore the analogy as a source of insight. Finally, I will touch on the idea of the universe as a simulation.