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Researchers Harness the Power of AI to Analyse Cosmic Explosions

Researchers from the University of Warwick are using AI to analyse cosmic explosions. Machine learning is being employed to simulate supernovae and understand their occurrence. AI technology can generate thousands of supernovae models in less than a second.


Specifically, they are employing machine learning, a type of AI, to simulate star explosions known as supernovae, which release essential elements like calcium and iron back into the universe.


The fundamental goal of this research is to offer astronomers with a better knowledge of the causes and mechanisms underlying supernova occurrences. The study's lead author, Dr. Mark Magee, emphasised the tremendous time-saving potential of AI. While the present model can take up to 90 minutes to develop, AI technology can produce hundreds of supernovae models in less than a second.


The application of AI not only speeds up the research process but also improves its accuracy. Scientists can determine which models best reflect the observed occurrences by comparing the simulations to real-life explosions. This development in machine learning has created new opportunities for future research, allowing a broader range of explosions and supernovae to be investigated.


Dr. Thomas Killestein, a project researcher, underlined the value of machine learning approaches. He said, "Machine learning approaches like this enable studies of larger numbers of supernovae, in greater detail, and with more consistency than previous approaches."

 
  • Researchers from the University of Warwick are using AI to analyse cosmic explosions.

  • Machine learning is being employed to simulate supernovae and understand their occurrence.

  • AI technology can generate thousands of supernovae models in less than a second.


Source: BBC

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