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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, evolving dark energy. Now these all fall into theories that are in here now, and they're generating some new discussion around some of these old theories, just dropping. But all of these require detailed computer simulations, where a virtual universe is built 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 needed by more than a factor of 10. Along with transfer learning comes a negative transfer. The AI already has patterns resembling the standard cross-allosable model. What then happens is that...
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