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 ...

We lack a comprehensive understanding of how intelligence and neural networks function. The unpredictability of AI could lead ...

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 ...

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles ...

Researchers have developed an easy-to-use optical chip that can configure itself to achieve various functions. The positive real-valued matrix computation they have achieved gives the chip the ...

Cloud networking company Cato Networks Ltd. today unveiled two major innovations for the Cato SASE Platform that are designed ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

This technical paper titled “Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel” was presented by researchers at Columbia University, Adobe Research and University ...

Wolfram Research has released Neural Networks, which lets users test and explore neural network models “faster and easier than ever before” using the computational power of Mathematica, according to ...