Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move ...

For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

Abstract: Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit parametric models.

Abstract: In this article, the sampled-data control (SDC) problem for nonlinear systems is investigated with the help of the homogeneous domination approach. Different from the existing results, the ...

It includes optional safety controls such as filesystem sandboxing, PATH-based command blocking, and network restrictions for safer local testing.

If you find our work useful, please cite our paper. @article{wu2025big, title={Big-data empowered traffic signal control could reduce urban carbon emission}, author={Wu, Kan and Ding, Jianrong and Lin ...