The promise of this tutorial: the companion tutorial on Ψ-NN ended with a triumph: a neural network that can’t break a law of physics, and that learns how to be that way on its own. But that network had a quiet problem: it could only talk to other neural networks. This tutorial picks up exactly [...]
The promise of this tutorial: by the end you will understand, step by step, how Physics Structure-Informed Neural Network (Ψ-NN) takes an ordinary neural network and rebuilds it so that it literally cannot break a law of physics, and how it figures out how to do that all by itself. We will keep every idea [...]
As an AI researcher, I spend a lot of time thinking about information, models, bias, prediction, and the way intelligence emerges from structure. In AI, we know that the quality of a model depends heavily on the quality, diversity, and organization of the input. If a model is trained only on one kind of data, [...]
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