Interface-like memristive device pushes neuromorphic computing forward – News

Researchers at the Los Alamos Laboratory’s Center for Integrated Nano Technologies (CINT) recently published details of a neuromorphic computing device that mimics the behavior of a neural synapse. The result? Computing that achieved 94.72% accuracy in recognizing handwritten numbers. The device is an interface-type memristor made of gold/niobium-doped strontium titanate, all in a Schottky structure … Read more