Physicist Davide Bossini from the University of Konstanz has recently demonstrated how to change the frequency of the ...
While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
Abstract: Model predictive control (MPC) has been widely adopted for indoor temperature control and building energy management. There are two steps in traditional MPC: 1) modeling thermal dynamics as ...
Penn State scientists have devised a new method to predict superconducting materials that could work at higher temperatures. Their model bridges classical superconductivity theory with quantum ...
Abstract: Temperature control systems subjected to random disturbances present significant challenges in maintaining stability and precision. Conventional fixed-parameter ...
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 ...
In chemistry, solvents (generally in liquid form) are used to dissolve, suspend or extract other materials, typically without chemically altering either the solvent or the other materials. Solvents ...
An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...