This meta data can then be used to train machine-learning models that can subsequently be deployed in control systems to make real-time intelligent decisions based on changing input parameters.

For example, adversarial examples can be constructed synthetically by slightly modifying real training examples with the goal of inducing errors.

BYD, the world’ s leading manufacturer of new energy vehicles, today released the BYD DiSus Intelligent Body Control System through its technology launch event held in its headquarters at ...

Intelligent control systems that integrate neural networks with emotional learning constitute a promising frontier in computational intelligence.

Calculation flowchart of uncertainty quantification and sensitivity analysis for space reactor coupling parameters of neutronics, thermal-hydraulics and control system under motion conditions.

GOTHENBURG, Sweden, June 11, 2025--CPAC Systems AB and Epec Oy are proud to announce a collaboration agreement rooted in a shared commitment to advancing intelligent, connected solutions in the ...

A research team led by Professor Tianyou Chai from Northeastern University, China, has developed an innovative intelligent control method for the low-carbon operation of energy-intensive equipment ...

Modern wind power systems demand more than just theoretical knowledge. They require people who can model, test, and control ...

BYD has revealed a new automotive feature it calls the DiSus Intelligent Body Control System. Designed specifically for new energy vehicles, the active suspension system allows precise control of ...

BYD’s new Yangwang EV can drive on three wheels and jump On the outside, the star of BYD’s show today was the Yangwang U9, but it was actually the intelligent control system within it that is ...