Google teaching computers to mimic human brain

By Jahanzaib Bin Liaquat

Correspondent, SAM Daily Times

SAN FRANCISCO —Google says it is 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 programmed 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… cat, 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.
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.

Google researchers are building a larger model and are working on ways to apply the artificial neural network approach to improve technology for speech recognition and natural language modeling,
According to Dean and Ng,“Someday this could make the tools you use every day work better, faster, and smarter,”

Dean and Ng conceded that there is a long road ahead, since an adult human brain has around 100 trillion connections.

Google X Lab headed by company co-founder Sergey Brin is known for its work on innovations such as a self-driving car and Terminator film style glasses that provide Internet information about what is being seen.