Suzanne Gill explores digital twin adoption challenges and finds out which industry sectors and areas of application are ...

VAEs also introduce mathematical constraints that accommodate computational models called large neural networks. To continue with the example of large language models, these neural networks can be ...

By deploying artificial intelligence in manufacturing systems, organizations can unify and analyze massive datasets to ...

“For example, if we want to have a material that is intrinsically recyclable with a certain process, we feed this information into the digital twin, which allows us to start the design process ...

The idea that the economy, and society more broadly, can become increasingly digital and more sustainable at the same time is ...

A breakthrough in digital twin technology could transform how industries such as logistics, healthcare, and defense operate, ...

Researchers at the Technical University of Munich (TUM) have developed a system that helps patients learn to move their ...

We speak with Terria’s co-founders to find about more about the CSIRO spin-out's aim of making digital twins accessible to all.

Fig. 2 shows an example of the Ookayama Smart Mobility Digital Twin. The bottom part displays photos of vehicles and RSUs in the physical space, while the top part shows real-time information of ...

The National Research Foundation in Singapore, for example, analyses the potential of rooftop solar energy generation. The digital twin of Singapore was the first city twin to be created and was ...