NASA is using machine learning to predict the characteristics of stars

With so many stars in our galaxy to discover and catalog, NASA is adopting new machine learning techniques to speed up the process. Even now, telescopes around the world are capturing countless images of the night sky, and new projects such as the Large Synoptic Survey Telescope (LSST) will only increase the amount of data available at NASA’s fingertips. To give its analysis a helping hand, the agency has been using some of its prior research and recordings to essentially “teach” computers how to spot patterns in new star data.

NASA’s Jet Propulsion Laboratory started with 9,000 stars and used their individual wavelengths to identify their size, temperature and other basic properties. The data was then cross-referenced with light curve graphs, which measure the brightness of the stars, and fed into NASA’s machines. The combination of the two, combined with some custom algorithms, means that NASA’s computers should be able to make new predictions based on light curves alone. Of course, machine learning isn’t new to NASA, but this latest approach is a little different because it can identify specific star characteristics. Once the LSST is fully operational in 2023, it could reduce the number of astronomers pulling all-nighters.

[Image Credit: Image credit: NASA/JPL-Caltech, Flickr]

Filed under:

Comments

Source: NASA

Source: Engadget - Read the full article here

Author: Daily Tech Whip

This article is part of our 'News Tiles' service. The site is currently in Beta. When it is fully operational you will be able to search through and arrange the 'Tiles' to display a keyword, product or technology over your chosen time period. For example you would be able to display all of the leading tech articles on the new Kindle Fire, in one spot in real time. You will also have access to our own original reporting and analysis as well as a polished place to post your own thoughts & reviews here, amongst the Daily Tech Whip Community. Please let us know if you have any feedback via the contact form or via Twitter. Don't forget to come back next week and see our full site and claim your name and your own free tech blog.

Share This Post On