When you think of all the resources available to embedded designers today, the most precious and scarce are always the same — time and money. The microprocessor suppliers who make the first hardware ...

Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations. By ...

As solar modules become more sophisticated, the techniques used to simulate energy performance need to become more advanced. Image: Nextracker. Bifacial photovoltaic (PV) technology has emerged as the ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

Artificial intelligence and machine learning (AI/ML) are driving the development of next-generation radar perception. However, these AI/ML-based perception models require enough data to learn patterns ...

An experimental program using a 6 degree-of-freedom earthquake simulator at the University at Buffalo was executed to generate data for supporting validation of numerical models for seismic ...

NVIDIA unveiled new AI models and systems at CES 2026 aimed at improving how machines reason and act in real-world ...

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...