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HomeTechnology peripheralsAINew breakthrough in artificial intelligence: Researchers find that nanowire networks can learn and remember like the human brain

News on April 25, the human brain is able to process information through the connection network of neurons and synapses, and this network structure can also be imitated by nanotechnology.

Nanowire network (Nanowire network) is a kind of nanotechnology, usually made of highly conductive silver wires invisible to the naked eye, covered with plastic materials and forming a mesh structure. They are able to self-assemble into a dynamically complex network with memory and processing capabilities, similar to the human brain. Now, an international team of researchers from the University of Sydney has demonstrated that a network of nanowires not only resembles the human brain, but is also capable of learning and remembering like the human brain.

New breakthrough in artificial intelligence: Researchers find that nanowire networks can learn and remember like the human brain

IT Home Note: Brain’s neural network (left), nanowire network (right)

The research team used a method used to evaluate human The test of working memory is called the n-back test. In this test, subjects are asked to determine whether each item in a sequence of letters or images matches the "n" previous items.

In general, humans have an n-back score of 7, meaning they can recognize seven previous items. To put nanowire networks to this test, the researchers adjusted voltages to direct path changes in the network, thereby enhancing their memory capacity and accuracy. It was found that the nanowire network was also able to "remember" the end point seven steps earlier in the circuit, comparable to human memory.

This study demonstrates the ability of nanowire networks to simulate advanced cognitive functions typically associated with the human brain in non-biological hardware systems, the researchers said. This paves the way for replicating learning and memory capabilities similar to human intelligence in robots or sensor devices, and suggests that the nature of human intelligence may be physical. The research was published in the journal Science Advances.

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