05-11-2023, 06:52 AM
Artificial Intelligence (AI) is being employed by astronomers using Mauna Kea telescopes to help study the early universe. Although machine learning is starting to become a somewhat controversial topic, at this point it helps people in many fields as diverse as chess and astronomy. In this case, scientists using the Subaru telescope on Mauna Kea are using AI to help understand how stars formed in the early universe.
"Artificial intelligence has helped an international team using the Subaru Telescope on Maunakea see “indications that the very first stars in the universe were born in groups rather than as isolated single stars.”"
Big Island Video News - https://www.bigislandvideonews.com/2023/...rst-stars/
"Astronomy seeks to explain the history of the universe — from its beginnings to the formation of our solar system and more. Subaru Telescope continues to lead the way to help find the answers to puzzling astronomical questions through state-of-the-art technologies.
In a recent discovery, an international team used artificial intelligence to analyze the chemical abundances of old stars and found indications that the very first stars in the universe were born in groups rather than as isolated single stars.
“Our new technique based on machine learning opens the door to study the mysterious nature of the first stars in the universe,” explains Subaru Telescope assistant professor Miho Ishigaki."
"Artificial intelligence has helped an international team using the Subaru Telescope on Maunakea see “indications that the very first stars in the universe were born in groups rather than as isolated single stars.”"
Big Island Video News - https://www.bigislandvideonews.com/2023/...rst-stars/
"Astronomy seeks to explain the history of the universe — from its beginnings to the formation of our solar system and more. Subaru Telescope continues to lead the way to help find the answers to puzzling astronomical questions through state-of-the-art technologies.
In a recent discovery, an international team used artificial intelligence to analyze the chemical abundances of old stars and found indications that the very first stars in the universe were born in groups rather than as isolated single stars.
“Our new technique based on machine learning opens the door to study the mysterious nature of the first stars in the universe,” explains Subaru Telescope assistant professor Miho Ishigaki."