Guess – Could Modeling The Atom As A Continuously Updating Classifier Lead To Fusion?

To me. Looking at machine learning networks. It would make sense if the atoms are just different networks.

That is. They handle input and give output. The main difference I speculate is that they also learn or update their weights to keep scores of different properties.

I guess that among the weights are the ”randomly” distances the electron is from the core. So the atom manages so many weight values because its so fast.

The scores I guess is the important part. The score are just the ?energy property values of the specific atom.

Then I guess that changing the score values of the atoms together with the input of colliding atoms could lead to fusion.

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