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Green Data Center Blog Time to Change Menu Green Data Center Blog Time to Change Street Address City, State, Zip Phone Number Your Custom Text Here Green Data Center Blog Time to Change Deep Learning Is Not Imitating Physics. It Is Running It. May 19, 2026 Dave Ohara Why does deep learning work so well? That question has a surprising answer. Not a computer science answer. A physics answer. This video is worth watching: Deep Learning's Bizarre Connection to How Modern Physics Works Modern physics has a technique called the renormalization group. The basic idea: when you want to understand a complex physical system, you do not need all the fine-grained details. You can "integrate out" the small-scale noise and find that the large-scale behavior is governed by a much simpler description. Reality organizes itself hierarchically. Each level of scale has its own governing structure. The details at one level become irrelevant at the next. This is not a metaphor for what deep neural networks do. It is mathematically the same operation. A neural network processes an image and extracts edges in the first layer. The second layer finds shapes from those edges. The third finds objects from those shapes. Each layer integrates out the fine-grained information and extracts the structure that governs the next level up. That is the renormalization group running in silicon. Researchers showed this formally. The mathematics that physicists use to understand phase transitions, particle interactio

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