Deep Mind, Google’s subsidiary in the field of Artificial Intelligence, unveiled a new program that can successfully find its way into a virtual labyrinth.
The originality lies in the fact that the deep learning algorithm of the new artificial intelligence system can “spontaneously” mimic the activity of human brain neurons (so-called “mesh cells”) that allow a person to know his place in the space, something vital to navigate a labyrinth.
The great surprise was that the new program -a deep neural network that uses multiple layers of artificial neurons to process information- reproduced the complex neural codes that, as has been demonstrated since 2005 in laboratory experiments with animals and humans, the brain uses to orientate.
In other words, artificial intelligence has used itself the same mental intelligence strategy in space, which is also used by biological intelligence. This achievement is expected to help neuroscientists in their research into brain function.
Deep Mind researchers and University College London (UCL) headed by Darshan Kumaran, who published the research in the “Nature” magazine, used the new system to train a digital rat to find its way into a digital labyrinth faster than a person experienced in this game, explains ANA-MNA.
Experts spoke of landmark achievement in the field of artificial intelligence. To date programs of this kind have been impressive and beat people in various board games (chess, poker, Go, etc.), but navigating a labyrinth is a special challenge.
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