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Vitaly Vanchurin PHD - THE WORLD AS A NEURAL NETWORK

Chasing Consciousness

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Bridging the Gap: A New Model for Unifying Theories in Modern Physics

The speaker proposes a model that uses trainable and non-trainable variables in a neural network to bridge the gap between the large-scale gravitational equations of Einstein and the microscopic quantum mechanical equations. By associating the trainable variables with the old physics and the non-trainable variables with the microscopic quantum mechanical equations, the model aims to unify the previously unreconciled theories in modern physics, general relativity, and quantum mechanics. The speaker explains that the trainable and non-trainable variables work together, with the non-trainable variables being integrated out and the dynamics concentrated on the trainable variables. This approach leads to the study of equations governing their evolution, which involves stochastic dynamics such as random walk and Brownian motion.

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