Russian scientists are one step closer to crafting full artificial intelligence. A physical model of a brain has been designed, with the ability to educate itself.

Tomsk State University in western Siberia housed an international team of scientists who “built mathematical and computer models of the human brain,” said the head of the laboratory, Professor FIT Vladimir Syryamkin. “After that it was designed radio-electronic device comprising perceptrons. It is capable of handling various information (video, audio, etc.) Now we are working to establish the basic system robotic system, which is an intelligent control center.”


Though, full brain replication isn’t an easy task, as scientists need to copy 100 million neurons in the brain and one trillion compounds.

“This physical model is capable of self-learning and life experience. This mechanism is both simple and complex. The artificial medium of natural intelligence takes external stimuli such as light, sound, etc. Through trial and error, he tries to find a solution that helps to avoid the impact of the stimulus. For example, when exposed to a bright light source will first try to look away, if it does not help, move away from him. As long as the brain will not find the right solution, its neurons (perceptrons) will be in an excited state. When the artificial intelligence that decision will, he will remember it and will be used in similar situations,” reads the press release.

The main developer Vladimir Shumilov believes, “In the end, an artificial brain should be analogous to the biological model. We have a tremendous amount of work, but a very important step has been taken – we were able to reveal the secret of brain neural network. In our physical model, as in the human brain, the formation of new neural connections and damping existing. In humans, it is the process of forgetting.”

The team hopes its artificial intelligent brain will have medical applications, like helping drug correction for patients with various dementias. Additionally, the scientists hope to integrate their AI brain into robotic systems and neurocomputers.

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