Simulation data in AI models. Data preparation is the crucial first step in AI model-based designs for automotive applications. Data is paramount because AI models are trained based on the data.

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

Multiversal AI acceleration through real-world data simulation. The idea is to generate enormous amounts of reliable training data through the use of multiverse-style world simulators that can ...

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

Leveling up to a multiplayer game. Simulations typically tackle one facet of our understanding of COVID-19, like exponential spread of a virus or how inputs to models are selected.

Poor Simulation Data Is Sabotaging Digital Twin Innovation: How to Fix It Your email has been sent The costs of poor data quality in digital twin development What strong data foundations look like ...

The primary responsibility of the Modelling and Simulation group is the development of aircraft models. To this end, real flight data is analysed using the Quad-M system identification method, which ...

The British unicorn’s simulation technology can build video games. Can it help us understand the coronavirus crisis?