Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

The Universal Primary Education (UPE) and Universal Secondary Education programmes have contributed tremendously towards increasing the number of pupils and students in schools across the country. The ...

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This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Abstract: Distributed computing is fundamental to multiagent systems, with solving distributed linear equations as a typical example. In this article, we study distributed solvers for network linear ...

Abstract: While zeroing neurodynamics (ZN) method stands out in handling various temporally-varying problems, the deficiencies of self-adaptivity and intelligence make ZN models be less mature. Aiming ...