> > Inside Google’s secretive X laboratory, known for inventing self-driving cars and augmented reality glasses, a small group of researchers began working several years ago on a simulation of the human brain. > > > > There Google scientists created one of the largest neural networks for machine learning by connecting 16,000 computer processors, which they turned loose on the Internet to learn on its own. > >

Credit where it is due, Google has to be lauded for encouraging the open research on topics so varied. There is so much potential with computing power and data at Google.

At cost of being cynical (a bit), I felt this would be so so useful (?) to Google with all the data that it has with it. And equally frightening to the users watching. Obviously Google is looking at that, no? And then I read this.

> > Google scientists said that the research project had now moved out of the Google X laboratory and was being pursued in the division that houses the company’s search business and related services. Potential applications include improvements to image search, speech recognition and machine language translation > >

And bingo!

On a side note, NYT had to ruin it by changing the headline to “How many computers to identify a cat? 16000”. Underplays the success that this is.

Evidence of Machine Learning scratched at Google X Laboratory