A new study by an astronomer at the Dutch Space Research Institute, Lingyu Wang, confirmed the theory of star formation. This researcher actually analyzed more than 200,000 galaxies and confirmed that the process of galaxy fusion is one of the driving forces of the birth of a star, though not uncommon in itself.
The theory has formulated that, in practice, the fusion of galaxies causes a star phase that is at least twice as strong in terms of star formation, including the entire period of fusion. This phenomenon is explained by shock waves caused by the collision of interstellar gases that cause the birth of stars.
But the real novelty of this study is in the fact that researchers have used artificial intelligence software to analyze over 200,000 record numbers of galaxies. In fact, with such large databases, researchers had to rely on deep learning algorithms to improve the reproducibility of their research.
This method, as suggested by William Pearson, analyzes data where artificial intelligence provides a larger and more complete set of space telescopes.
Wang points out that not all processes are completely entrusted to the computer. However, a proper “training” phase is always required to provide good examples for the software.
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