Caltech

Caltech astronomers have used a machine learning algorithm to classify 1,000 supernovae completely autonomously

Caltech astronomers have used a machine learning algorithm to classify 1,000 supernovae completely autonomously

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Caltech research presents “SNIascore”, a spectroscopic classification method of 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 people don’t have to do as much work. …

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Caltech researchers build microchip/photonics sandwich that pushes boundaries of computing and data transmission efficiency - Pasadena Now

Caltech researchers build microchip/photonics sandwich that pushes boundaries of computing and data transmission efficiency – Pasadena Now

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The chip sandwich: an electronic chip (smaller chip on top) integrated with a photonic chip, sitting atop a penny for scale. (Credit: Arian Hashemi Talkhooncheh) Engineers from Caltech and the University of Southampton in England have collaboratively designed an electronic chip integrated with a photonic chip (which uses light to transfer data) – creating a …

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