Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

This paper presents APOSTLE, an asynchronously parallel optimization method for sizing analog transistors using Deep Neural Network (DNN) learning. This work introduces several methods to minimize ...

Discover the 20 best neural network software. Learn about the features of each software and find the best one. Written by eWEEK content and product recommendations are editorially independent. We ...

This style of neural network is also known as a cyclical graph. The backward movement opens up a variety of more sophisticated learning techniques, and also makes RNNs more complex than some other ...

MicroCloud Hologram Inc. has announced the creation of a noise-resistant Deep Quantum Neural Network (DQNN) architecture, which aims to advance quantum computing and enhance the efficiency of ...

BitReXe is a proposed Layer 2 architecture to build out multiple EVM's on top of Bitcoin that can run in parallel, accomplishing more scalable smart contract execution on a second layer.

It’s even more difficult to understand a deep neural network that’s crunching a system such as Earth’s climate, which consists of myriad moving parts. Still, the rewards are worth the work.

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.