AI tackles one of math's most brutal problems: Inverse PDEs

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly ...
EDN

What’s the impact of AI on analog design

Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...
IEEE

A Triple Noise Tolerant Zeroing Neural Network for Time-Varing Matrix Inverse

Abstract: Matrix inversion is a fundamental operation utilized across numerous disciplines such as mathematics, engineering, and control theory. The original zeroing neural network (OZNN) method has ...
IEEE

Nonlinear Functions Activated Gradient-based Neural Dynamics for Online Matrix Inversion

Abstract: In an effort to improve the convergence performance of gradient-based neural dynamics (GND), by drawing upon two novel activation functions (AFs), a fixed-time convergent nonlinear GND ...