Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by 1.

Disney’s DTC growth, strong core segments, and valuable IP support a 49% upside case despite debt risks and execution hurdles ...

Abstract: The problem of robust tracking and model following is considered for a class of uncertain Markov jump linear systems. A class of linear robust state feedback controllers is designed for ...

Quantum sensors for prosthesis control, robots that treat lung collapses in flight, the automated production of X-ray ...

The present paper considers a synthesis approach of dynamic output feedback robust model predictive control (OFRM-PC) for the general linear parameter varying (LPV) system with bounded disturbance. To ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...