Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...

Quick Look visualizer for neural network/machine learning powered by Lutz Roeder's Netron. Made in Swift: ultra-lightweight, 10 times less space than official Netron.

Abstract: Dilated convolution is a powerful technique for expanding the receptive field without increasing the convolution kernel size, making it highly valuable in image segmentation tasks. However, ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...

The latest State of JavaScript survey provides an up-close look at the JavaScript language features, tools, libraries, and frameworks developers are using and how they're using them. Getting a ...

JavaScript is the number one most essential high-income technical skill you can have in your toolkit as a developer You wouldn't be a developer without knowing ...