New Wearable Technology: Robo Brain, the Google robots: a superbrains that learns from …

Robo Brain, the Google robots: a superbrains learning from the Internet

Concepts learned by searching on the web and can be interpreted in words, pictures and video. All data is translated and stored in a language accessible to machines

08/25/2014

He is born of the Google robot is to feed and Internet . In practice, a kind of super-brain is downloading from the network an extraordinary amount of information that includes about a billion pictures, 120,000 YouTube videos and 100 million manuals, and everything is analyzed and translated into a language that is accessible to the robot because we provide a wealth of information from which to learn about the world of men.

The project, which now has a website, it’s called Robo Brain, is coordinated by the American and Cornell University will cooperate with the universities of Stanford and Berkeley, along with Brown University. “I look at humans with my sensors and I learn things by interacting with them,” he says on his website Robo Brain, represented as a stylized brain with a square face that resembles that of an automaton. “I learn concepts by searching the Internet – he continues – and I can interpret natural language, images and video.” The idea to offer the robot a storehouse of knowledge from which to draw coexist with humans is born thinking about what might happen in the future, probably not far away, in which the presence of a robot in the home, as well as in offices or in factories, it will become familiar.

So the research team led by Ashutosh Saxena, decided that the best strategy is to teach the robot around the world of the humans: from the simplest things, like finding a bunch of keys, serve a drink, picking up good manners, such as not to interrupt a conversation between two people. “Our computers and mobile phones have access to all the information we want. Similarly, if in the future a robot will encounter a situation that does not know will ask for help from Robo Brain, “says Saxena. For example, if a robot sees a cup of coffee, can learn from Robo Brain that it is a container in which a liquid can be poured outside or inside, that can be grasped with the hands, transporting with the opening towards the ‘ high when full.

All this information is translated into a logical network made of dots connected by lines, in a cluster structure, according to a non-deterministic structure known to mathematicians as a Markov model.

Printing with you wherever and whenever you want.

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