A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...
Learn how to use Terraform variables in AWS, including input, output, and local variables for flexible infrastructure code. #TerraformVariables #AWS #IAC Trump reveals what he wants for the world ...
This repository contains the code and data for the experiments in the paper "Discovering network dynamics with neural symbolic regression", published in Nature Computational Science (2025). Abstract: ...
Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how ...
Chinese manufacturer BYD is using AI to scale its EV production and enhance efficiency, with insights from CEO Wang Chuanfu on its vertical integration AI is increasingly becoming a cornerstone of the ...
Abstract: This paper proposes a day-ahead joint chance-constrained optimal scheduling method for distribution networks using a partial input convex neural network (PICNN). The PICNN serves as a ...
ABSTRACT: In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving ...
MicroCloud Hologram Inc. is advancing the field of quantum computing through its research into Continuous Variable Quantum Neural Networks (CV-QNN), which aim to embed Variational Quantum Circuits in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results