Here's How AI helped Google Scientists and Students to Discover two Hidden Planets in Space

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In a recent development of space exploration, scientists have discovered two new hidden planets with the help of Artificial Intelligence. This discovery was done with the help of data collected by NASA's Kepler Space Telescope. The two newly discovered planets which lie close to their host star, are said to be larger in size than our planet Earth. 

The technology used by scientists will help to know more and more of the mysteries of the universe, which can not be identified using the old traditional methods. The procedure was first described in the Astronomical Journal.

According to a report, new disclosures were made in partnership with Google by Astronomers of Texas University in Austin. Team members included NASA Sagan student at the University Austin Andrew Vanderberg and Google engineer Christopher Shallue.

The team - led by university graduate student Anne Dattilo - created an algorithm that transfers through the data collected by Kepler so that the signals left by conventional planet-hunting methods can be overcome.

Upon explaining the project, Dattilo said that this project needed a new algorithm because the data collected from Kepler's mission K2 was different from the original mission of the spacecraft.

Andrew Vanderberg, from the University of Texas, told in a statement that, "Working with K2 data is more challenging because the space shuttle is moving all the time."

Talking about the importance of artificial intelligence in the project, Vanderberg further said, "AI will help us to find the data set equally. Even if every star had an Earth-sized planet around it, when we look with Kepler, we will not be able to find them all. This is just because some data are very noisy, or sometimes the planets are not properly aligned. Therefore, we have to do the right for those whom we had missed. 

He also added that We know that there are so many planets that we do not see for those reasons. He further said, "If we want to know how many planets are in total, then we have to know how many planets we have found, but we also have to know how many planets we missed. This is where it comes."

So, for more latest news on Artificial Intelligence and other updates on Data Science and Machine learning stay tuned with us on LunaticAI.

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