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Applied artificial intelligence to cosmological data analysis

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If you have a question about this talk, please contact Charles Walker.

I will illustrate how machine learning and generative artificial intelligence techniques are, slowly but surely, reshaping the way we do research. I will draw examples from my own research in CMB physics, including spectral distortions, extended cosmological models and the Sunyaev Zeldovich effect, based on state-of-the-art data from the Atacama Cosmology Telescope and upcoming data from the Simons Observatory.

This talk is part of the Hills Coffee Talks series.

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