Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Neural networks are networks of interconnected nodes, theoretically structured like the brain, used in machine learn to complete complex tasks.

The field of artificial neural networks has seen rapid growth over the past 10-15 years. Typical applications are image processing, sound and other areas with high dimensional data. In machine ...

They power applications with clear business use cases, which has led organizations to increasingly invest in adoption, development, and deployment of neural networks.

Deep learning neural networks are behind much of the progress in AI these days. Neuton is a new framework that claims to be much faster and more compact, and it requires less skills and training ...

Co., Ltd. recently announced that its patent titled "An Intelligent Generation Method for Industrial Decision-Making Based on Neural Network Models" has been granted, with patent number CN120387030B ...

Earth Scientists have used machine learning for at least three decades and the applications span is large, from remote sensing to analysis of well log data, among many others. Although machine ...

He and his adviser, the MIT physicist Max Tegmark, had been working on making neural networks more understandable for scientific applications — hoping to offer a peek inside the black box — but things ...

In a key step toward making large-scale optical neural networks practical, researchers have demonstrated a first-of-its-kind multilayer all-optical artificial neural network. Researchers detail ...

The new Neural Networks application — designed for use with Mathematica 4 or later on Mac OS X, the traditional Mac operating system, Windows, Linux, Solaris, HP-UX, IRIX, AIX, Compaq Tru64 Unix ...