AI Astronomy Model Reveals Star Ages, Fast-Tracks Cosmic Discoveries
- News

- Jul 2
- 1 min read
Updated: Jul 7
Astronomers have built an AI model that quickly determines the ages of stars, opening new frontiers in our understanding of the Milky Way.

University of Toronto astronomers have developed a powerful AI model that can determine the ages of stars with unprecedented speed and accuracy, offering a major boost to the study of our galaxy.
Led by Dr. Gwendolyn Eadie and her team, the project uses artificial intelligence to analyze vast amounts of stellar data, making it possible to estimate a star’s age in seconds instead of days. The new method also accounts for uncertainty, providing researchers with confidence ranges for each estimate.
This breakthrough allows scientists to map stellar populations and study the history of the Milky Way in much greater detail, paving the way for fresh insights into galaxy formation and evolution.
“Previously, age determination for stars required extensive observations and complex modelling. Now, with our AI-based approach, it can be done in a fraction of the time."
— Dr. Mirek Brandt, Postdoctoral Researcher, Department of Statistical Sciences & David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto


















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