SAN FRANCISCO: Google said it was dabbling with getting computers to simulate the learning process of the human brain as one of the unusual projects for researchers in its X Lab.
Computers programmer with algorithms intended to mimic neural connections “learned” to recognize cats after being shown a sampling of YouTube videos, Google fellow Jeff Dean and visiting faculty Andrew Ng said in a blog post.
“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.”
The computer, essentially, discovered for itself what a cat looked like, according to Dean and Ng.
The computations were spread across an “artificial neural network” of 16,000 processors and a billion connections in Google data centers. The small-scale “newborn brain” was shown YouTube images for a week to see what it would learn.
“It ‘discovered’ what a cat looked like by itself from only unlabeled YouTube stills,” the researchers said.
Computers to mimic human brain soon
