Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

CEO Cristiano Amon says the company is moving to become a 'full-stack player,' which includes partnerships with Microsoft, ...

Qualcomm's data center entry analyzed: how the Modular acquisition, HBC memory architecture, and Arm-based C1000 CPU ...

Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

Explore how Madhava Rao Thota is driving innovation in AI, cloud computing, and enterprise database transformation in 2026, helping organizations accelerate digital transformation, scalability, ...

Language switching exemplifies a real-world model of adaptive control, as bilinguals select languages in response to continuously changing contextual demands. Although the Adaptive Control Hypothesis ...

Abstract: Direct data-driven control has emerged as a powerful alternative to traditional state-space model-based methods by directly learning control policies from data. Nevertheless, ensuring that ...

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.

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 ...

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...