AI in astronomy focuses on applying machine learning and neural networks to process and classify large astronomical datasets. Topics include exoplanet identification, galaxy morphology classification, and signal detection in noisy data. SpaceImaging.com highlights how artificial intelligence improves discovery rates and accuracy in modern sky surveys.
Researchers at the University of Sydney have developed an AI-powered calibration system that restored the James Webb Space Telescope’s interferometric instrument (AMI) without physical intervention.
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