Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Nonlinearities are ever-present in various engineering problems and play a crucial role in the analysis, design, and control of engineering systems as they can drastically change the dominant ...

Engineers have demonstrated a simple computational approach for supporting the classification performance of neural networks operating on sensor time series. The proposed technique involves feeding ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

In the relentless drive to build more cost-efficient, less resource-intensive structures, their operating envelopes are expanding resulting in larger deflections and geometric nonlinearities being ...

Scientists developed a reconfigurable topological photonic system that steers light in real time using optical pumping, ...

Topological photonics has emerged as a powerful paradigm for achieving robust light transport that is immune to imperfections, disorder, and ...

A new technical paper titled “Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics” was ...