Important everyday products—from plastics to detergents—are made through chemical reactions that mostly use precious metals such as platinum as catalysts. Scientists have been searching for more ...

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 ...

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. Imagine controlling your phone using only just thoughts. Connecting the human brain to computers represents the latest ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Precise temperature control is essential for optimizing performance and ensuring high-quality outcomes in chemical process engineering. The Unistat range of temperature control systems provides ...