https://www.marktechpost.com/2022/11/27/astronomers-at-caltech-have-used-a-machine-learning-algorithm-to-classify-1000-supernovae-completely-autonomously/
Caltech research introduces 'SNIascore,' a method for spectroscopically classifying thermonuclear supernovae (SNe Ia) based on very low-resolution (R 100) data based on deep learning. The goal of SNIascore is to fully automate the classification of SNe Ia wit…
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