A key aspect of Industry 4.0 and the developing industrial metaverse concept is digital twin technology. Because of digital twin technology’s growing importance to manufacturing, particularly in ...

The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and ...

In every industry today—including finance, healthcare, energy and retail—the digital landscape is expanding faster than any team can monitor. Systems stretch across multiple clouds, regulations evolve ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

Imagine you're building an unmanned aerial vehicle (UAV), a cutting-edge electric vehicle or a self-driving car. Not long ago, this would’ve meant years of physical ...

Data is like the steam power that drove the first Industrial Revolution, the successor to the electrical connections that drove the second one, and the byproduct of the computers that brought about ...

Programmable quantum computers have the potential to efficiently simulate increasingly complex molecular structures, electronic structures, chemical reactions, and quantum mechanical states in ...

Data center digital twins are transforming data center design from assumption-based planning to physics-backed simulation—well before the first rack is deployed. By combining physics simulations with ...

The Ovation Curation Tool simplifies version control and change history between control systems and digital twin simulations.