Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...

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 ...

The field of mechatronics has evolved into a multidisciplinary arena where simulation, modelling and programming work in concert to optimise system performance, ensure reliability and reduce ...

Maplesoft have announced a major new release of MapleSim, an advanced system-level modeling and simulation platform, together with important updates to many of the specialized component libraries and ...

Industrial simulation and emulation are powerful but still underemployed techniques for designing, developing, and testing better automation solutions and machines. When used as a central part of a ...

Engineers combine measured data, multi-level behavioral models, and simulation tools to predict real-world performance across ...

Embedded software designs such as those for avionics and automotive systems have become highly complex to develop, test and certify. As a result, the traditional document driven environments, without ...

In this special guest feature from Scientific Computing World, Robert Roe interviews Loren Dean from Mathworks on the use of AI in modeling and simulation. Artificial Intelligence (AI) is surging in ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Researchers led by Keiya Hirashima at the RIKEN ...

Key opportunities in the Medical Simulation Market include the expansion of high-fidelity VR/AR simulations, growing demand for remote and web-based training, increased use in minimally invasive ...