Artificial intelligence (AI) is being used in new research to analyze cosmic explosions.
Machine learning, a kind of artificial intelligence, will be used to create simulations of supernovae, which are stellar explosions that return elements like iron and calcium to the universe.
The goal of the University of Warwick’s study is to advance our knowledge of the causes and mechanisms underlying supernovae.
While it presently takes up to 90 minutes to produce a single model, AI would allow hundreds of supernovae models to be generated in less than a second, according to lead author Dr. Mark Magee of the research.
According to the university, AI would also improve study accuracy by assisting in determining which models correspond with actual explosions.
While it presently takes up to 90 minutes to produce a single model, AI would allow hundreds of supernovae models to be generated in less than a second, according to lead author Dr. Mark Magee of the research.
According to the university, AI would also improve study accuracy by assisting in determining which models correspond with actual explosions.
It further stated that developments in machine learning have enabled the research, with more explosions and supernovae to be studied in the future.
“Machine learning approaches like this enable studies of larger numbers of supernovae in greater detail and with more consistency than previous approaches,” said Dr. Thomas Killestein.
Scientists examine cosmic explosions using AI.
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