[2026.05.22] Release: FastCCC v1.0.1 is now available. This release fixes several potential bugs, adds coding-agent skills for natural-language FastCCC workflows, and improves automated reports with ...

Michael Ingram is a Senior Contributor from the United States of America. Michael has been writing for GameRant since 2021, writing both analytically and fiction for years beforehand. Michael is a ...

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

Abstract: To remove the difficulty of recognizing cross-band sources and discriminating densely-distributed components in the existing undersampling based spectrum sensing methods, this paper proposes ...

Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well. Motivated by experimental evidence of a rich phase ...

The interplay between data symmetries and network architecture is key for efficient learning in neural networks. Convolutional neural networks perform well in image recognition by exploiting the ...

This paper first warns about the confusion or rather the implicit link that exists in the literature between fractional behaviours (of physical, biological, thermal, etc. origin) and fractional models ...

J Clin Pharmacol. 2021 Aug; 61(8): 1081–1095. The availability of a model describing the time course of drug concentration profile is instrumental for implementing such a pharmacometric framework. The ...

Computational contact mechanics seeks for numerical solutions to contact area, pressure, deformation, and stresses, as well as flash temperature, in response to the interaction of two bodies. The ...

Convolutional neural networks (CNN) have been successfully used to handle three-dimensional data and are a natural match for data with spatial structure such as 3D molecular structures. However, a ...