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new observations indicate that there could be some very interesting new physics to be discussed. This includes massive neutrinos, modified gravity, and evolving dark energy. Now these all fall into theories that are room-fear now, and they're generating some new discussion around some of these old theories, just drop in. But all of these require detailed computer simulations, where I'm a virtual universe and adult using different physical assumptions. Transfer learning lets an AI system apply knowledge from one path to another. This type of learning reduces the number of expensive simulations, either by more than a factor of 10. Along with transfer learning comes a negative transfer. The AI already has patterns resembling the standard cosmological model. What then happens is that...

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