Artificial intelligence finds messy galaxies

IMAGE: An active galaxy. view more Credit: ESA_NASA_AVO_Paolo Padovani An astrophysics student at The Australian National University (ANU) has turned to artificial intelligence to help her to see into the hearts of galaxies. PhD student Elise Hampton was inspired by neural networks to create a program to single out from thousands of galaxies the subjects of her study – the most turbulent and messy galaxies. “I love artificial intelligence. It was actually a very simple program to write, once I learnt how,” said Ms Hampton, who is studying at the ANU Research School of Astronomy and Astrophysics. “The program took eight minutes to analyse 300,000 data points from 1,188 galaxies. For one person to do it would have taken years.” Ms Hampton is studying galaxies with brightly glowing centres powered by…


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