Cookie Consent by Free Privacy Policy Generator ๐Ÿ“Œ Astronomers at Caltech Have Used a Machine Learning Algorithm to Classify 1,000 Supernovae Completely Autonomously

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๐Ÿ“š Astronomers at Caltech Have Used a Machine Learning Algorithm to Classify 1,000 Supernovae Completely Autonomously


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

Caltech research introduces โ€˜SNIascore,โ€™ 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 with a very low false-positive rate (FPR) so that people donโ€™t have to do as much work. In [โ€ฆ]

The post Astronomers at Caltech Have Used a Machine Learning Algorithm to Classify 1,000 Supernovae Completely Autonomously appeared first on MarkTechPost.

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