Fig. 1 shows the mapping of points from the training sample in the coordinates of the two main features – u1 and u2. The color of the point corresponds to the class (red – 0, aqua – 1). From the ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Journal of Housing and the Built Environment, Vol. 18, No. 2 (2003), pp. 159-181 (23 pages) In recent years, the neural network modelling technique has become a serious alternative to and extension of ...

The curious minds at ColdFusion showcase five incredible uses of neural networks you should know. This matters because these ...

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 ...

Recent advances in neural network methodologies have significantly reshaped the fields of electrical tomography and moisture analysis. By integrating artificial neural networks (ANNs) for both image ...

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale ...

Last week we described the next stage of deep learning hardware developments in some detail, focusing on a few specific architectures that capture what the rapidly-evolving field of machine learning ...

The Tensilica Vision P6 DSP quadruples multiply-accumulate (MAC) performance compared to the previous generation Vision P5 DSP, targeting convolutional neural network (CNN) applications which are ...