AI techniques excel at solving complex equations in physics, especially inverse problems

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
AlphaGalileo

ICCUB researchers develop new AI techniques to solve complex equations in physics

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based on machine learning ...
Electronic Specifier

Teradyne extends power semiconductors test platform

The ETS-800 D20 is the latest addition to Teradyne’s ETS-800 platform of high-performance test systems for power ...
IEEE

Learning Power System Dynamics with Noisy Data Using Neural Ordinary Differential Equations

Abstract: The ability to learn complex system dynamics is crucial to enhancing the reliability and stability of power systems. In this paper, we develop a novel neural ordinary differential equation ...
IEEE

Differential Protection of Power Transformers Using Discrete Wavelet Transform and Convolutional Neural Network

Abstract: This research paper presents a hybrid approach for differential protection of transformer using discrete wavelet transform (DWT) and convolutional neural network (CNN). A simulation of a ...