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Technology used in Netflix and Google can Help Scientists to Determine whether Planetary Systems are Stable or not

Machine learning offers a powerful way to tackle a problem in astrophysics, and that's predicting whether planetary systems are stable

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Technology Giant Google. Pixabay

Toronto, December 2, 2016: Machine learning — a powerful tool used for a variety of tasks in modern life, from fraud detection and sorting spam in Google, to making movie recommendations on Netflix — can help scientists determine whether planetary systems are stable or not, a study says.

“Machine learning offers a powerful way to tackle a problem in astrophysics, and that’s predicting whether planetary systems are stable,” said study lead author Dan Tamayo from the University of Toronto Scarborough in Canada.

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Machine learning is a form of artificial intelligence that gives computers the ability to learn without having to be constantly programmed for a specific task. The benefit is that it can teach computers to learn and change when exposed to new data, not to mention it’s also very efficient.

The researchers found that the same class of algorithms used by Google and Netflix can also tell us if distant planetary systems are stable or not.

The method developed by Tamayo and his team is 1,000 times faster than traditional methods in predicting stability.

“In the past we’ve been hamstrung in trying to figure out whether planetary systems are stable by methods that couldn’t handle the amount of data we were throwing at it,” Tamayo said.

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It’s important to know whether planetary systems are stable or not because it can tell us a great deal about how these systems formed. It can also offer valuable new information about exoplanets that is not offered by current methods of observation.

There are several current methods of detecting exoplanets that provide information such as the size of the planet and its orbital period, but they may not provide the planet’s mass or how elliptical their orbit is, which are all factors that affect stability, Tamayo noted.

The method developed by Tamayo and his team was published online in the Astrophysical Journal Letters.

“What’s encouraging is that our findings tell us that investing weeks of computation to train machine learning models is worth it because not only is this tool accurate, it also works much faster,” he added.

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It may also come in handy when analysing data from NASA’s Transiting Exoplanet Survey Satellite (TESS) set to launch next year. The two-year mission will focus on discovering new exoplanets by focusing on the brightest stars near our solar system.

“It could be a useful tool because predicting stability would allow us to learn more about the system, from the upper limits of mass to the eccentricities of these planets,” Tamayo said. (IANS)

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No Proof our Images showed Pakistan Flag For ‘Toilet Paper’, Says Tech Giant Google

Google algorithms have displayed inappropriate search results on certain topics in the past

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Google, Main One, russia
A Google logo is displayed at the entrance to the internet based company's offices in Toronto. VOA

Google on Tuesday said that it has found no evidence that its Search algorithms were showing the Pakistani flag when looked for the “best toilet paper in the world”, the “best China-made toilet paper” or just “toilet paper”.

“While we continue to investigate the matter, we have not found any evidence that Google Images was ranking the Pakistani flag in response to this particular search,” a company spokesperson told IANS.

“Many news outlets wrote about an old screenshot from a meme website that is inconsistent with our UI (user interface) and dates back to 2017, and we have not seen any independent verification that these results ever appeared as depicted,” the spokesperson added.

Earlier, media reports said a glitch on Google Search results was noticed after the February 14 Pulwama terror attack that left 40 Central Reserve Police Force (CRPF) troopers dead.

Google CEO Sundar Pichai
Google CEO Sundar Pichai. (Wikimedia Commons)

Screenshots of the search results went viral as memes, posts and status updates on several social media platforms, including Twitter, Facebook and Instagram.

“Since these news stories published, images from those articles are now ranking for this query, as the pages contain words relevant to the search,” said the Google spokesperson.

Also Read- Scientist Who Coined the Term ‘Global Warming’ Dies at 87

Google algorithms have displayed inappropriate search results on certain topics in the past.

Earlier, searching words like “Feku”, “Pappu” and “Idiot” led users to the images of Indian Prime Minister Narendra Modi, Congress President Rahul Gandhi and US President Donald Trump, respectively. (IANS)