Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...

The platform deeply integrates AI within the digital twin itself. Rather than treating AI as an external analytics layer, the ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

Most digital twins used in biopharma are built with process data. But, while this fits with ideas like Quality by Design (QbD), it is more labor intensive than it needs to be, according to the authors ...

A digital twin is a simulation of an object, system, process, or person. The ability to make and use digital twins is one of the many new opportunities for business that didn’t exist for most ...

It is estimated that the global digital twin market will reach $155.84 billion by 2030.  In fact, nearly 75% of advanced ...

Momentum is building for digital twins in semiconductor manufacturing, tying together the various processes and steps to improve efficiency and quality, and to enable more flexibility in the fab and ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.

Staying ahead in business requires leaders to make smart, quick decisions. That’s a trait digital twins excel at by delivering intelligent forecasts for complex outcomes. They’re like a crystal ball ...