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Using computational optics and AI algorithms, Chinese researchers have developed an AI model for astronomical imaging that significantly enhances scientists' ability to peer into the deepest reaches of the cosmos.The model, named ASTERIS, can help extract extremely faint astronomical signals, identify galaxies more than 13 billion light years away and generate the deepest deep-space images ever produced.Applying ASTERIS to data from the James Webb Space Telescope (JWST) extends observational coverage from visible light at around 500 nanometers to the mid-infrared at 5 micrometers, while increasing the detection depth by 1.0 magnitude, effectively enabling the telescope to detect objects 2.5 times fainter than previously possible.Using the model, the team identified more than 160 candidate high-redshift galaxies from the "Cosmic Dawn" period, roughly 200 million to 500 million years after the Big Bang, tripling the number of discoveries using previous methods.