Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...
Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...
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, ...
Our research shows a simple way to make the next wave of AI hardware more efficient by improving electrolyte-based organic ...
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 ...
(Nanowerk News) A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it. This device, called a memristor, could serve as the basis ...
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 ...
"Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." Here’s what you’ll learn when you read this story: Memristors, or “memory resistors,” are the leading ...
A computer that uses electronic synapses made of terminals with a top electrode (TE), dielectric layer (DL), and bottom electrode (BE) can emulate the human brain. A neural network using these ...
The next competitive edge won’t come from brute force. It will come from systems that think more like markets themselves ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback