Hard Science

Neural network chip built using memristors

Ethan FoxMay 7th 2015
  • Memristors have relatively simple behavior: they’re a type of circuitry where the present resistance to current is a product of the currents that have flowed through them in the past. The more current that goes through, the easier it will travel through in the future. 
  • Memristors can be made of metal oxides. In this case, the authors used a combination of aluminum oxide and titanium dioxide (Al2O3 and TIO2) to form a memristor. The neural network was formed by linking traditional circuitry through a grid of wiring (technically a crossbar). 
  • The neural network was trained to identify three letters (V, N, and Z), including the possibility of single-pixel errors. After a single time through the training set, the network was able to successfully identify all three letters, although performance continued to improve with further experience. 

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