Scientists from Bielefeld University revealed a blueprint for a memristor- based artificial brain for computers.
It's been a long-time goal for computer scientists to build a computer that functions like a normal human brain. Incidentally, a human brain consumes far less energy than a computer. Also, a human brain is capable of learning by itself and doesn't need a program to function. Now, Dr. Andy Thomas from Bielefeld University's Faculty of Physics, who has been experimenting with memristors for a while, has revealed a blueprint for a memristor-based artificial brain for computers.
Memristors are electronic microcomponents that work like natural nerves. Thomas' blueprint could actually pave the way for creating an artificial brain capable of self learning. Thomas first examined how memristor could be used as component to create a large artificial brain. The memristors are made of fine nanolayers that can be used to connect electric circuits. They work like artificial synapses in the brain. Synapses are what nerves use to connect to one another. They grow stronger with regular use.
"This is all possible because a memristor can store information more precisely than the bits on which previous computer processors have been based," Thomas said.
Memristor and a bit both work with electrical impulses. However, a bit does not allow any fine adjustment - it can only work with "on" and "off." In contrast, a memristor can raise or lower its resistance continuously.
"This is how memristors deliver a basis for the gradual learning and forgetting of an artificial brain," Thomas said in a press release.
The findings will be published in the beginning of March in the print edition of the Journal of Physics.
