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rssMB to Phys.orgEnglish · 20 hours ago

Interpretable neural networks help reveal the nature of dark matter

phys.org

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Interpretable neural networks help reveal the nature of dark matter

phys.org

rssMB to Phys.orgEnglish · 20 hours ago
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A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov–Arnold Network (CKAN), which sheds new light on the properties of dark matter at galaxy-cluster scales.

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