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Tsinghua's AI Model Draws Deepest Cosmos Map

Tsinghua's AI Model Draws Deepest Cosmos Map

Tsinghua University's automation and astronomy teams used self-developed spatio-temporal self-supervised model Xingyan to create humanity's deepest deep-space galaxy image. This breakthrough surpasses astronomical observation depth limits. Results published in Science magazine.

cnBeta (Full RSS)MediaFeb 20#astronomy#self-supervised
Tsinghua AI Pushes JWST Deeper into Cosmos

Tsinghua AI Pushes JWST Deeper into Cosmos

Tsinghua researchers' ASTERIS AI model boosts James Webb Space Telescope's deep space imaging by 1 magnitude, equivalent to a 10m aperture. It discovers over 160 high-redshift galaxies from 2-5 billion years post-Big Bang, tripling prior findings. Published in Science, it's self-supervised and compatible across telescopes.

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