In 2015, 66 neutral carbon absorbers were found in the spectra of 10s of thousands of quasars released earlier by SDSS, which is the largest number of samples obtained.Breakthrough in Absorber DetectionIn this study, Prof. Ges team developed and trained deep neural networks with a large number of simulated samples of neutral carbon absorption lines based on actual observations. By using these well-trained neural networks to the SDSS-III information, the group found 107 exceptionally uncommon neutral carbon absorbers, doubling the number of the samples obtained in 2015, and spotted more faint signals than before.Enhancing Detection and Understanding Galaxy EvolutionBy stacking the spectra of various neutral carbon absorbers, the team substantially boosted the ability to identify the abundance of numerous aspects and straight determined metal loss in gas caused by dust. These galaxies were going into a state of advancement in between the Large Magellanic Cloud (LMC) and the Milky Way (MW), producing a substantial quantity of metals, some of which bonded to form dust particles, leading to the observed impact of dust reddening.Complementing James Webb Space Telescope FindingsThis discovery individually supports current findings by the James Webb Space Telescope (JWST) which identified diamond-like carbon dust in the earliest stars in the universe, recommending that some galaxies progress much faster than previously anticipated, challenging existing models of galaxy formation and evolution.Unlike the JWST, which carries out research study through galaxy emission spectra, this study examines early galaxies by observing the absorption spectra of quasars.