Google’s virtual brain technology is to be put to the ultimate test: making Google’s products smarter!
“Most people keep their model in a single machine, but we wanted to experiment with very large neural networks. If you scale up both the size of the model and the amount of data you train it with, you can learn finer distinctions or more complex features,” said Jeff Dean, an engineer helping lead the research at Google.
Google’s next step is to advance speech recognition technology in Android devices. “We got between 20 and 25 percent improvement in terms of words that are wrong,” says Vincent Vanhoucke, a leader of Google’s speech-recognition efforts. “That means that many more people will have a perfect experience without errors.” The neural net is so far only working on U.S. English, and Vanhoucke says similar improvements should be possible when it is introduced for other dialects and languages.
The neural network is expected to boost other Google products, such as its image search tools that can understand the contents of a photo without having to check its accompanying text! Even Google’s self-driving cars and Glasses are expected to benefit from such software.
But for now, he said Google’s neural networks still cannot perform many things necessary to intelligence, such as reasoning with information collected from the outside world.For his part, Dean said Google’s neural networks have humans beat in some areas! Lets wait to hear more !
