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Artificial Intelligence Leads to Discovery that Helps Solve Cosmological Puzzles

With the Helps of machine-learning techniques, a team of astronomers has discovered a dozen quasars that have been warped by a naturally occurring cosmic lens. Quasars are extremely luminous cores of distant galaxies that are powered by supermassive black holes. The long-standing struggle has paved its way towards success.Over the past four decades, astronomers had found about 50 quasars, which occurs when there is a massive expulsion from the galaxies. The latest study, which spanned only a year and a half, increases the number of known quads by about 25 percent and demonstrates the power of machine learning to assist astronomers.

“The quads are gold mines for all sorts of questions. They can Helps determine the expansion rate of the universe, and Helps address other mysteries, such as dark matter and quasar ‘central engines,’” says Daniel Stern, Lead author of the new study and a research scientist at the Jet Propulsion Laboratory, which is managed by Caltech for NASA. They are not just needles in a haystack but Swiss Army knives because they have so many uses.

The new quasar quads, which the team has given several nicknames such as Wolf’s Paw and Dragon Kite will help in future calculations of Hubble’s constant and may illuminate why the two primary alignments are not adjacent to each other. The quasars lie in between the local and distant targets used for the previous calculations, so they give astronomers a way to probe the intermediate range of the universe.

Machine learning is an effective technique but it no way an alternative for human Intelligence. The human minds and their decisions are as capable as any technique to procure or deliver the best of the researches or discoveries.

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