University of Pennsylvania researchers have used convolutional neural networks to catalog the morphology of 27 million galaxies, giving astronomers a massive dataset for studying the evolution of the universe. ��Galaxy morphology is one of the key aspects of galaxy evolution,�� said study author Helena Dom��nguez S��nchez, former postdoc at Penn. ��The shape and structure of galaxies has a lot of��
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