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Machine learning and artificial intelligence are transforming the way we do science at PSI. These methods are used to recognize connections and make predictions without needing to perform all the physical calculations. Examples of their use at PSI include understanding the behavior of lithium-ion batteries, predicting the properties of materials, analyzing data from particle accelerators, and improving the efficiency of experiments.
