ConvolutionInterpolations.jl uses a new family of high-order convolution kernels to provide a single unified interface for interpolation, differentiation, integration and smoothing - from ...

The exponential growth of cloud computing and artificial intelligence (AI) applications has driven an urgent need for high-bandwidth, energy-efficient hardware architectures in data centers. With ...

withoutBG is a high-quality background removal tool. They built their open-source image matting and refiner models using smp.Unet and are proudly sponsoring this project.

Our research proves a conjecture from string theory asserting the vanishing of a specific convolution sum arising in the 4-graviton scattering amplitude in 10-dimensional type IIB string theory. The ...

Wildfires pose a severe threat to ecosystems, economies, and human lives, exemplified by the 2019 Australian bushfires, which devastated 46 million acres, destroyed thousands of structures, and caused ...

Sum frequency generation in the phase-sensitive aspect provides the surface structure and dynamics in an amplitude-oriented manner. Recently, the experiments for the dangling OH bond of the water ...

Materials Research Laboratory, University of Illinois, Urbana, Illinois 61801, United States Department of Mechanical Science and Engineering, University of Illinois, Urbana, Illinois 61801, United ...

Elastic full waveform inversion (EFWI) is a powerful technique. However, its strong non-linearity makes it susceptible to converging towards local extremes during the iterative process due to various ...

Convolutional Neural Networks (CNNs) are a type of deep learning neural network architecture that is particularly well suited to image classification and object recognition tasks. A CNN works by ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...