Google started actively with artificial intelligence

Google started actively with artificial intelligence

His first experiment X Lab research center began in the early summer of 2012. Then the group, sponsored by Google, introduced the world to a self-learning neural network to cluster thousands of computers. The functions of this unit is in the recognition of human faces and bodies. Over a period of artificial intelligence to process images from YouTube and learned to recognize. The result of entering the percentage was 15.8%. On the one hand - not a high percentage, but from the point of view of science - a real breakthrough.
Technology Review reported that it has been the fall of 2012 the developers have moved to a new level. They were able to set up artificial intelligence, so that now the system recognizes it. While only the English, but in the near future, set up work in other languages ​​and dialects.
Head of voice recognition in Google Vincent Vanhauk some figures. If we compare with similar devices, catching wrong spoken words, their network has done its work by 20-25% accurate. This means that now when dictating text, you can get almost the net result. This is especially true if the person is not a true native speaker.
Google also uses a new development in his draft Street View. Its meaning is to establish the membership numbers to the numbers on the houses. Artificial intelligence in this task shows more accurate results than even people. We plan to use a neural network to find pictures from Google, Google Glass and cars Google. Powerful neural network can capture a variety of information - from the content to the sound of the engine.
Employees X Lab research center decided to use such a large number of clusters, and they have got to make the most of artificial intelligence. Whereas other experimenters have used only one computer.
Neural activity can be compared to Google, according to the ministers of science, with the performance of neurons in the visual cortex of the mammalian brain.
This development brings us to you to a whole new level. Thanks to the invention, the people are great opportunities in a variety of datasets. By solving simple practical problems, smart technology in learning is becoming a universal tool in diverse fields.



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