AI Helps Measure Properties of Stars

Scientists from Australia and Denmark trained a deep learning system to classify and predict the ages of red giant stars.

“Automated methods do exist, however considerable effort is required for defining and acquiring features,” mentioned the researchers in their paper in reference to why they leveraged deep learning for their work over conventional methods. “Furthermore, these methods require relatively high signal-to-noise data.”

Expanding red giant stars will swallow too-close planets. In the solar system, the sun will engulf Mercury and Venus, and may devour Earth, as well. Source:

Using NVIDIA GPUs, Keras and cuDNN with the Theano deep learning framework, they trained their convolutional neural network on 5,000 Kepler red giants. Once trained, they were able to predict the ages of red giants with 99% accuracy, classify 5,379 which have never been analyzed in the past and corrected 500 that other researchers had incorrectly classified.

This research give scientists hope that more red giants will be located in the galaxy and the deep learning method will allow them to date red stars faster and with higher accuracy.

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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter