Self-Learning Computer Resistors Missing Link to Artificial Intelligence

The memristor is the fourth key component of electronics, long considered as missing link in electronics to be able to construct intelligent and self-learning computers.Although technically similar to the resistors, the electrical resistance in a memristor is dependent on the electric charge passing through it. That means is changing constantly properties in response to an external signal.

Memristor has a memory and at the same time is able to modify the data encoded by their State of resistance. This is what makes the memristor similar to a brain synapses. Connection between neurons in the brain are able to modify transmission efficiency of the signs under the influence of transmission itself, “electronic” plasticity, which allows to build neural networks “true”.

Now, these components were still closer to their biological analogs.

Organic Memristores

A team from Russia and Italy took the principles of organic electronics to these new promising components, building memristores polymeric or organic. Using a solution of polyaniline as substrate glass and with chrome electrodes, the team built a neural network made entirely of plastic memristores.

Memristors are basically a fourth class of electrical circuit, joining the resistor, the capacitor, and the inductor, that exhibit their unique properties primarily at the nanoscale.

Process from MRI acquisition to whole brain structural network
Process from MRI acquisition to whole brain structural network

In comparison with the electronic standards the memristores plastics are still large and pounding at milliliters instead micros.But the team points out that it is enough to think of its use in some niches such as machine vision, speech synthesis and other sensory systems and also for intelligent control systems in various application fields, including autonomous robots.