Google Simulate HUMAN BRAIN with the Thousand of COMPUTERS

viewgreen By viewgreen, 20th Nov 2014 | Follow this author | RSS Feed
Posted in Wikinut>News>Technology

How many computers are required to recognize a cat? The answer is one thousand core computers with 16,000 processors (cores).

"X Laboratory"

That is, among others, were discovered by a team of researchers at the secret facility “X Laboratory" belongs to Google. “X Laboratory" is where to create the innovative concepts, such as; Augmented reality of Google’s glasses.

A total of 16,000 processor cores in 1,000 computers connected to form a neural network that uses more than 1 billion connections to simulate the workings of the human brain. Team “X Laboratory" then "releases" the super computer on internet. When dealing with more than 10 million digital video files on YouTube. Google trying to create the synthetically brain managed to identify the physical form of the cat in identifying screens or a video appearance.

The Biological Theory

In fact, the computer previously did not knowing anything about the cats. "We never taught it about the cat, "Said a member of Google researcher team, Jeff Dean, as reported by the New York Times. It did not like with the previous studies involving guidance and supervision of the man, this time the computer is allowed to take their own initiative to recognize any of objects.

Construct a digital computer image of a cat wearing makeup memory location hierarchy to draw any of general traits after being confronted with millions of images. The workings of the computer software is deliberately designed to mimic the biological theory which says that each neuron cells "trained" in the brain to recognize specific objects.

The Ultimate Goals

As they said that the computer has a 15.8 percent accuracy rate in identifying 20,000 object categories. This result is figure out which claimed by the researchers that 70 percent better than previous research.

The ultimate goal of this project is to create a computer that can learn to analyze data and identify patterns and trends in it without human intervention. That way, the things like face detection can be done without need to prescript to a computer that the object in front of it is a face structural pattern.

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Comments

author avatar viewgreen
22nd Nov 2014 (#)

Thank you very much for the moderation and published this page... I also thank you for useful advice... Have a good day. cc: Peter!

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author avatar Fern Mc Costigan
22nd Nov 2014 (#)

Awesome article very full of information and interesting facts.

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author avatar viewgreen
22nd Nov 2014 (#)

Thank you my dear Fern! for stopping here with great comment herein.

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author avatar Shamarie
23rd Nov 2014 (#)

Thanks for sharing another great article, viewgreen!

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author avatar viewgreen
23rd Nov 2014 (#)

I thank you too for your visiting here my friend. Have a great days ahead.

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author avatar puncakceria
27th Nov 2014 (#)

good post,nice article and have a nice day...:)

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author avatar viewgreen
27th Nov 2014 (#)

Thank you my friend Rideone. :)

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author avatar Gclick
30th Nov 2014 (#)

Good work my friend.

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author avatar viewgreen
30th Nov 2014 (#)

Thank you very much my friend. cc: Gclick

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author avatar Colekdikit
7th Dec 2014 (#)

Great article. it should be get a star. thanks for share.

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author avatar viewgreen
8th Dec 2014 (#)

Thank you my friend for stopping here a moment. Colekdikit!

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author avatar Mutimut
19th Dec 2014 (#)

Informative posting and this article have the very full of information and interesting facts. thanks for sharing.

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author avatar Gclick
2nd Jan 2015 (#)

Awesome research for this unique topic. Thanks for sharing this information.

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author avatar viewgreen
3rd Jan 2015 (#)

Thank you for great comment here my friend Gclick. :)

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author avatar Elanggunung
2nd Jan 2015 (#)

awesome posting and very informative topic to share. thanks my frend.

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author avatar viewgreen
3rd Jan 2015 (#)

Thank you my friend Elanggunung. :)

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