The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

Decoupling application logic from hardware lets engineers test firmware on host machines instead of waiting for dev boards.

Power Hardware-in-the-Loop (PHIL) simulation and testing is a cutting-edge methodology that integrates actual power system components with high-fidelity computational models. This approach creates a ...

To put the Chevy Bolt back into production on schedule, GM engineers relied on virtual crash testing software to "reduce the ...

Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce ...

Overview AI robots need both real-world and synthetic data to learn effectively, with tools like simulation and teleoperation ...

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How the challenges of electric-motor control design can be overcome using digital twins in all design and test phases. How automated testing within a continuous and integrated toolchain is able to ...