Up front:Astronomers classify galaxies by shape to understand how they form and evolve.
But this can be a time-consuming job.
The researchers used convolutional neural internet (CNN) architectures to hasten the task.
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Its overall classification accuracies were 83% and 81% respectively.
Quick take:The main advantage of using AI to classify galaxies is speed.
This inherent uncertainty is the limiting factor in any AI model trained on labelled data.
Story byThomas Macaulay
Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he e(show all)Thomas is the managing editor of TNW.
He leads our coverage of European tech and oversees our talented team of writers.
Away from work, he enjoys playing chess (badly) and the guitar (even worse).
