Tag: Artificial Intelligent

Google Discovers New Planet Which Proves Solar System Is Not Unique

The Kepler-90 star system has eight planets, like our own

Google has previously discovered lost tribes, missing ships and even a forgotten forest. But now it has also found two entire planets.

The technology giant used one its algorithms to sift through thousands of signals sent back to Earth by Nasa’s Kepler space telescope.

One of the new planets was found hiding in the Kepler-90 star system, which is around 2,200 light years away from Earth.

The discovery is important because it takes the number of planets in the star system up to eight, the same as our own Solar System. It is the first time that any system has been found to have as many planets ours.

Andrew Vanderburg, astronomer and Nasa Sagan Postdoctoral Fellow at The University of Texas, Austin, said: “The Kepler-90 star system is like a mini version of our solar system.

You have small planets inside and big planets outside, but everything is scrunched in much closer.

“There is a lot of unexplored real estate in Kepler-90 system and it would almost be surprising if there were not more planets in the system.”

The planet Kepler-90i, is a small rocky planet, which orbits so close to its star that the surface temperature is a ‘scorchingly hot’ 800F (426C). It orbits its own sun once every 14 days.

The Google team applied a neural network to scan weak signals discovered by the Kepler exoplanet-hunting telescope which had been missed by humans.

Kepler has already discovered more than 2,500 exoplanets and 1,000 more which are suspected.

The telescope spent four years scanning 150,000 stars looking for dips in their brightness which might suggest an orbiting planet was passing in front.

Although the observation mission ended in 2013, the spacecraft recorded so much data during its four year mission that scientists expect will be crunching the data for many years to come.

The new planet Kepler-90i is about 30 per cent larger than Earth and very hot.

Christopher Shallue, senior software engineer at Google AI in Mountain View, California, who made the discovery, said the algorithm was so simple that it only took two hours to train to spot exoplanets.

Test of the neural network correctly identified true planets and false positives 96 percent of the time. They have promised to release all of the code so that amateurs can train computers to hunt for their own exoplanets.

Machine learning will become increasingly important for keeping pace with all this data and will help us make more discoveries than ever before,” said Mr Shallue.

This is really exciting discovery and a successful proof of concept in using neural networks to find planets even in challenging situations where signals are very weak.

We plan to search all 150,000 stars, we hope using our technique we will be able to find lots of planets including planets like Earth.”

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Pass it on: Popular Science

NASA Just Found Our Solar System’s Twin By Using Artificial Intelligent

Searching the stars for unique phenomena is not an easy process.

The problem is that space is simply too big, too diverse, and too wonderful.

Locating a specific kind of anomaly among the many wondrous sights scattered throughout the cosmos is near impossible for humans, without easily-distracted brains.

With so many stars to check, the process of scanning the galaxy to find planets like our own can take a lot of time and effort.

Thankfully, artificial intelligence can help us in the process of spotting distant stars and their neighboring planets.

NASA has announced that, thanks to an AI program that was given the task of spotting cool stuff in space, the agency has been able to find a solar system that looks uncannily like our own; albeit in miniature form.

The Kepler-90 system exists a distant 2,545 light years from Earth, but has drawn attention from the astrological society after an AI noted that its series of eight planets match up well with our own.

The primary difference is that its planets orbit a lot closer to the sun than those in our solar system, with the newly discovered Kepler-90i making a full rotation around the star in a matter of just fourteen Earth days.

In order to locate Kepler-90’s planets NASA’s AI had to scan through a daunting thirty five thousand potential signals from distant stars, over a period of four years.

This is where machine learning was able to come into play to help make the process easier—the AI was fed data from around fifteen thousand signals that NASA had previously investigated.

So the AI had a pretty good idea of what it was looking for based on the kinds of readings that NASA had flagged as noteworthy among the program’s database of reference materials.

From there, it was a simple matter of letting the AI run checks for all potential star systems against its database until the program found something that matched what it was looking for, which happened to be a bunch of newly discovered planets orbiting Kepler-90.

Kepler-90 isn’t actually the most exciting solar system in the galaxy—it’s unlikely that its super hot worlds will bear life, or even any noteworthy new discoveries.

What is special, is the fact that an AI managed to identify Kepler-90 as fitting the right parameters for investigation.

This shows that there really are benefits to employing machine learning as a technique for searching the cosmos for interesting research subjects without the need for a human to slog through thousands of signals in order to find a few interesting stars that warrant a closer look.

Essentially, NASA is building a self-teaching search engine that can trawl through all of our records of the stars to find things that look interesting, based only on a vague description of what scientists are looking for.

The future of space exploration is going to be a whole lot easier if we can trust an artificial intelligence to do all the boring stuff for us.

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Pass it on: New Scientist