Researchers from Tel Aviv University have succeeded in teaching an artificial intelligence (AI) model to find and analyze quantum physical dynamics.
In the study, researchers examined the AI's ability to learn the laws of physics solely from examples, without any guidance.
Researchers trained a generative algorithm named styleGAN using a graph array of quantum physics problems and their solutions. They discovered that after learning, the algorithm was capable of "inventing" new problems that weren’t included in the training set, along with their correct solutions.
In basic terms, the algorithm learned to mimic physical systems and generate new systems that contained the correct physics and did so on its own without prior assistance from the research team.

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