Google’s X Lab is working on machines that can learn through experiences

Machine learning about cat

Google has announced on Tuesday that the company is working on to simulate learning process of human brain at the computer level in its X Lab.

The company researchers developed programs with algorithms that work similar to the neural connections of the human brain in “learning”. They make the program to recognize the cat after being shown a YouTube Video as reported by Google fellow Jeff Dean and visiting faculty Andrew Ng said in a blog post.

[hana-code-insert name=’StumbleUpon’ /][hana-code-insert name=’Reddit’ /]“Our hypothesis was that it would learn to recognize common objects in those videos,” the researchers said.

“Indeed, to our amusement, one of our artificial neurons learned to respond strongly to pictures of… cats,” they continued.

“Remember that this network had never been told what a cat was, nor was it given even a single image labeled as a cat.”

You can say that the system learned itself, what the cat is, by using an “artificial neural network” of 16,000 processors and a billion connections in Google data centers. Researchers showed the YouTube images to the small-scale “newborn brain” to check, what the system could learn.

“It ‘discovered’ what a cat looked like by itself from only unlabeled YouTube stills,” the researchers said.

“That’s what we mean by self-taught learning.”

According to researchers, there is still a long way in developing a highly advanced learning machine as we can guess from the 100 trillion connections of the adult human brain.

Source: The Official Google Blog

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