Tech Xplore on MSN

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Eureka

Researchers Develop EaPU Method for Memristor-Based AI Training

Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...
Nasdaq

GBT Commences Research of Probabilistic Neural Network (PNN) Algorithms and Techniques for Kirlian Research

SAN DIEGO, March 16, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”) is researching Probabilistic Neural Network (PNN) algorithms and techniques for Kirlian ...
Purdue University

The mind’s eye of a neural network system

A tool for checking the output of neural networks makes finding errors as easy as spotting mountaintops from an airplane. (Purdue University image) WEST LAFAYETTE, Ind. – In the background of image ...
pv magazine International

PV string fault detection technique based on multi-layer neural network

Scientists in India have proposed using a multilayer neural network to find line-to-ground, line-to-line, and bypass diode faults in PV module strings. They tested the new approach on a 22.5 kW solar ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...