Scientists around the world have been searching food, water and other environmental media for microplastics and for per- and ...

Oscillatory retinal neuron networks don’t require external voltage sources and show comparable performance to cutting-edge GPU-based convolutional neural networks, for energy costs thousands of times ...

Researchers from the University of Cambridge and GlitterinTech, a startup founded by the same research group, have unveiled a fundamentally new type of optical spectrometer that delivers ...

This is the official code of Fast Fourier Convolution for image classification on ImageNet. To train a model, run main.py with the desired model architecture and other super-paremeters: python main.py ...

Image inpainting is crucial for image editing and cultural heritage restoration. The complex structures and large damaged areas of Dunhuang murals make traditional methods ineffective for recovering ...

A new semiconductor chip fabricates miniature lenses on the chip to perform calculations using light instead of electricity, greatly increasing the power efficiency and reducing the computational run ...

In part 3 of this series, we used the inverse fast Fourier transform (IFFT) to create 100-Hz time-domain waveforms of various amplitudes and phases. We can also use the IFFT to create waveforms ...

Abstract: Image inpainting is an important task in computer vision, aiming at restoring missing or damaged areas in an image. The existing methods have certain problems such as texture blur and ...

We report a fast and easy method (PACMAN) to assign partial atomic charges on metal–organic framework (MOF) and covalent–organic framework (COF) crystal structures based on graph convolution networks ...

This paper covers the concept of Fourier series and its application for a periodic signal. A periodic signal is a signal that repeats its pattern over time at regular intervals. The idea inspiring is ...