Equipment and vehicle simulators are devices that combine an IT system with hardware (operator’s cabin), which is a human–machine interface (HMI) that reproduces the actual working conditions for ...

While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties ...

Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

In the realm of electromagnetic field simulation and in solving current density-related issues, traditional numerical methods are often hindered by inefficiencies and limited adaptability. This study ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining ...

A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...