Los Alamos National Laboratory Researchers Design New Artificial Synapses For Neuromorphic Computing

Scientists at Los Alamos National Laboratory have developed a new interface-type memristive device, which has both programming and memory capabilities. This device has been tested against a dataset of handwritten images from the Modified National Standards and Technology database, and achieved a high image recognition accuracy of 94.72%. This device could be used to build artificial synapses for next-generation neuromorphic computing, which mimics the unmatched data storage and processing architecture and capabilities of the human brain. This could help reduce energy consumption and extend computing performance.