Add to favorite
Subscribe to our Newsletters Subscribe to our Newsletters Get Daily Updates RSS

Trainable Neural Network Made by Russian Scientists
December 23, 2015 12:48

 Scientists from the Kurchatov Institute, the Moscow Institute for Physics and Technology, University of Parma (Italy), the MSU and St. Petersburg State University have created an artificial neural network on the basis of polymeric memristors.
"Such developments can find application in engineering the systems of automated vision, machine hearing and other sense organs, as well as intelligent control systems of various devices, including stand-alone robots", the press release of the MIPT reads.
The memristor is an electric element which is analog of the ordinary resistor. Its difference from the classical element is that the electric resistance of a memristor depends on the charge that passed through it and so it constantly changes its properties under the influence of an external signal. Thanks to it memristors are analogs of synapses, connections of two neurons in the brain that can change the efficiency of signal transmission between neurons under the influence of this transmission itself. Therefore the memristor makes it possible to put a “real” neural network into practice, and physical properties of memristors enables experts to make them as tiny as usual microchips.
The authors of the new research have made memristors of polyaniline polymer and for the first time connected them into a network and carried out experiments on teaching it. The training of a neural network consists in supplying electric impulses in random order. If the network gives a wrong answer in response to it, a special correcting impulse is sent and thus after a certain number of repetitions all the internal parameters of the device (namely the resistance of memristors) are adjusted – i.e. trained – in a required way. The scientists have demonstrated that their memristor network is capable to carry out basic logical operations after just fifteen attempts.
So far the devices created by researchers are too large in size and react to downstream signals for too long so it is too early to speak about their practical application. However some estimates show that the size of a memristor can be reduced to ten nanometers, and the technologies used in production of experimental prototypes allow scaling it to the level of mass production, the press release points out.
Results of the work have been published in the Organic Electronics magazine.



Author: Vera Ivanova

Tags: Neural Network Polymeric Memristors    

Next Previous

You might also find interesting:

The Institute of Internet Development (IID) has been Launched in Russia Is Having Babies a Problem? Nomadic Clinic and Algae Farming: Options for Development of the Arctic Fragments Of Pliosaur Found By Russian Scientists Pushchino Science Centre Happy Anniversary!

Comment on our site

RSS   twitter      submit

Primorsky Territory  Fabio Capello  Boris Nemtsov  Moscow Circus   Dymkovo  Russian tourism  Musical Festivals  Beat Film Festival  Russian economy  Smolensk  New Films  Kimono  Russian security forces  Olga Khokhlova  Department of Education of Moscow  Russian scientists  Alexey Navalny  St. Petersburg  Russian Cinema  Tyukalinsk  Alexei Navalny  Russian business  Komi Republic  Russian Poetry  Russian law  Moscow  Kemerovo Region  Russian science  Maryana Naumova  Khachin Island  Moscow Kremlin   Gzhel  Prime Pass  Publishing  European identity  Mercedes-Benz Fashion Week Russia  South Stream  Monuments in Moscow  Moscow Zoo  Altai Museums  Moscow City Library Centre  Tsaritsyno  Sergey Filin  Russian transport  Exhibitions in Moscow  Graphic Art  Tourism cluster  Russian judges  Bashkiria  Kostroma 

Travel Blogs
Top Traveling Sites