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.

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

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

Explore how MEMS technology is transforming automotive safety and comfort through advanced sensing capabilities.

The Network Brain is the intelligent control layer that powers closed-loop automation. It acts as the central nervous system of the network, integrating AI/ML models, automation logic, domain-specific ...

In this article, we present a nonlinear robust model predictive control (MPC) framework for general (state and input dependent) disturbances. This approach uses an online constructed tube in order to ...

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 ...

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 ...