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Through short presentations and facilitated discussion, this meeting explored the use of artificial intelligence (AI) for common challenges across the two fields, including the identification and classification of phenomena of interest and the treatment of noisy data. On July 9th, 2020, CIFAR convened a virtual roundtable that brought together Fellows in CIFAR’s Gravity & the Extreme Universe program with CIFAR AI chairs and other international experts in academia and industry to discuss the advances in algorithms used for astronomical research and how they can be adapted for biomedicine, and vice versa. These tools can, and indeed have been, applied to tackle similarly complex data in biomedicine, from genomics to medical imaging.
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Astronomers and cosmologists are making use of powerful computer algorithms, including machine learning methods, to analyze this noisy data and pinpoint specific phenomena of interest.
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Everyday, telescopes and other astronomical instruments produce a deluge of data about our universe.
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