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Current excitement about artificial intelligence is largely due to the surprising effectiveness of deep learning with artificial neural networks, and these models are quickly becoming an important tool in scientific data analysis. Neural network models are particularly well-suited for modeling high-dimensional data including images, video, sequences, and graphs, and can often replace hand-engineered data processing pipelines with learned, end-to-end models. In this talk I will discuss how deep learning is being applied to a variety of physics experiments, including antimatter, dark matter, and neutrino experiments, as well as exotic particle searches at the Large Hadron Collider (LHC).