From equations to intelligence: the future of AI-driven computational mechanics

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
IEEE

Using Radial Basis Function Neural Network With Weight Memory Mechanism: Nonlinear System Identification

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
IEEE

QUNF+: A Quadratic Approximation Framework with Hardware Co-Design for Universal Nonlinear Function Acceleration in Neural Networks

Abstract: Modern neural networks have undergone extensive hardware optimization to address the increasing computational demands. While most existing acceleration strategies concentrate on linear ...