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Google Crunches Data To Help NASA Discover Two New Planets | Science

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Google Crunches Data To Help NASA Discover Two New Planets.

Advanced computer analysis by Google and NASA said in December that it is part of the first star system with planets, as the first planetary solar stratosphere, which includes one of the far identified two new planets around the stars.

Nasa Science - wikifeed

Research from Google and the University of Austin at Austin enhanced the possibilities for new ideas about the universe using NASA data, feeding data to computer programs, which can easily beat through information more quickly and more quickly than possibly humanly Machine learning, known as a technology.

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In this case, the software learned the differences between planets and other raw materials by analyzing thousands of data points, to achieve 96 percent accuracy, NASA said at a press conference.

The figure comes from the Kepler telescope, which NASA launched into space as part of the planet search mission, which is expected to be completed next year because the spacecraft exits the fuel.

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Nasa Science - wikifeed

“Artificial neural network” program was found through data about 670 stars, Kepler 80 kg and Kepler 90i. The last, 30 percent more surprising than the earth, is a rocky, eighth planet orbiting the same star.

Astronomers have never seen a network of eight planets near the solar system, including the earth, the researchers said.

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‘Kepler in the maturation of the application of neutral networks of data, who knows what can be sought,’ said NASA‘s project scientist Kepler’s space telescopes Jesse Dotsoson. ‘I’m on the edge of my seat.

Christopher Shelyuu, an artificial intelligence researcher at Google and an astronomer Andrew Vendrabarg of the University of Texas at Austin, said he plans to continue his work by analyzing Kepler’s data from more than 150,000 other stars.

The advances in hardware and the new machine of learning techniques have made it possible in recent years for automated software to address data analysis in science, finance and other industries. Machine learning was not applied to the data obtained by the call telescope, he added.

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‘In my spare time, I started gogaling to’ find explanets with large modems and found out about Kepler missions and available huge data sets. The machine learning situation really shines in situations where human beings do not find it that way.

Vendrabarg has received funding directed to researchers from a distant planet through the NASA grant.

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