A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as ...

Predictive and dynamic AI models that learn the rules and transformations of complex environments, physical or simulated.

Neuroscientists are closing in on a striking idea: some brain cells appear to be tuned specifically to music, firing in ...

ChatGPT 5.2 is arriving with a bold claim: its Thinking mode reportedly matches or outperforms human experts on 70.9% of ...

Niels Bohr, the Nobel laureate in Physics and father of the atomic model, once remarked, “Prediction is very difficult, ...

Abstract: Addressing chance constraints in stochastic model predictive control (MPC) poses a significant challenge, especially in investigating recursive feasibility in the closed-loop system. We ...

Abstract: To mitigate parameter sensitivity of the permanent magnet synchronous motor (PMSM) under the model predictive control (MPC), a simple motor-parameter-free model predictive voltage control ...

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 ...

The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...