Search in Google: Machines human intelligent balance in five years

"Geoffrey Hinton," a senior research specialist in the field of artificial intelligence Google and the University of Toronto has said that intelligent machines will equal rights in five years from now.

He added, "Hinton" which is described by the father spiritual artificial intelligence that a stronger current machines are smaller than the human brain Mlaina of times, and even though it has the equivalent of about one billion clash neurological point of nerve clashes of the brain compared to a thousand trillion clash neurological point in the human brain, but it is evolving very quickly and it becomes more complex each year.

In answer to the question posed by the Macleans Canadian magazine about whether we had to fear artificial intelligence, "Hinton" said that any new technology that may be exciting to fear in the case has misused, and said that the main point here is how we deal with technology is It does not make them harmless to humans.

And standing, "Hinton" behind the development of Google's smartphone software AlphaGo who was able to defeat the world champion in the game Korean Go "Sidol me" through the achievement of three consecutive victories. Play Go on a plate containing nineteen lines horizontally and the same vertically and containing 361 stone two different two-tone, experts have said in 2014 that artificial intelligence techniques will need to be ten years before you can defeat humans in this game, unlike chess, where he defeated a computer Aye IBM's Deep Blue chess champion, "Kasparov" two decades ago. This was considered to accomplish AlphaGo reference to the quality and the rapid jump in machine intelligence techniques.

And based artificial intelligence techniques of modern concept of "deep learning" Deep Learning, which relies on neurons in the nervous virtual resemble those of the problem of the human brain, uses this concept methods similar to the methods humans to think and invent solutions and access to the new results do not necessarily rely on inputs and raw information that has been taught computer