In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...
This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...
As artificial intelligence (AI) and the Internet of Things (IoT) drive explosive data growth at the edge, compressed sensing (CS) is a key technique that reduces the hardware burden by sampling less ...
A new technical paper titled “An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing” was published by researchers at ...
Los Alamos National Laboratory Researchers Design New Artificial Synapses for Neuromorphic Computing
Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback