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

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 ...

Princeton engineers used neural networks and metasurfaces to bend ultrahigh-frequency beams around obstacles, tackling signal collapse in cluttered environments.

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 ...

Breast cancer mammography diagnosis approach using dual tree complex wavelet transform and artificial neural networks Mammographic Mass Classification Using Functional Link Neural Network with ...

The final case study shows how convolutional neural networks can be used for sea ice segmentation using synthetic aperture radar. Bio Rafael has a bachelor in Geophysics from the University of São ...

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 ...

In this report, the neural identification problem is outlined and the identifiability question for a general class of recurrent neural networks is addressed. As part of the intelligent flight control ...