called Double-Integral-Enhanced Zeroing Neural Network (DIEZNN) model, is proposed and investigated, which is capable of solving time-varying matrix pseudoinverse while efficiently eliminating the ...

[ViciousSquid] is updating this 90s idea for the 20s with a digital pet squid that uses a neural network to shape its behavior. The neural network that controls the squid’s behavior takes a ...

GAIA MATRIX provides direct access to Apple Silicon's Neural Engine through Gaia OS, enabling high-performance AI workloads for games. This document explains how to leverage the Neural Engine in your ...

Create futuristic clone identities with AI-generated profiles and images. The Neural Identity Matrix (NIM) is a Python-based tool that goes beyond standard text-to-image generation. It crafts detailed ...

More information: Qisheng Chen et al, Prediction of radiation shielding design schemes based on adaptive neural networks, Nuclear Engineering and Design (2025). DOI: 10.1016/j.nucengdes.2025.113933 ...

This study proposes an image Jacobian matrix optimization method that combines BP neural network and Robust Kalman filter. First, use BP neural network to model the coordinates of image feature points ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...

Department of Mathematics and Sciences, College of Humanities and Sciences, Ajman University, Ajman, UAE ...