A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

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 ...

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

Cox Enterprises led the Series C round. It was joined by several returning backers including Georgian, Norwest and Salesforce ...

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 ...

Take note of the emphasis on medical applications for neural networks and machine learning. This appears to be where the most aggressive publishing is happening results-wise—and for an emerging market ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

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 ...