HORSHAM, PA — Manufacturing software firm Aegis Software has completed the acquisition of Simio, a move that deepens its push ...

John Clemons is a Solution Consultant for Rockwell Automation. He's been working in the field of Manufacturing Technology for over 30 years. Building resiliency into manufacturing enterprise ...

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 ...

At CES 2026, PepsiCo (NASDAQ: PEP) announced a multi-year, industry-first collaboration with Siemens and NVIDIA to transform ...

Digital Twin Composer enables industrial companies to combine 2D and 3D digital twin data from Siemens’ comprehensive digital ...

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 ...

The multi-year pilot with Nvidia and Siemens creates 3D replicas of U.S. plants and warehouses, allowing the food and beverage giant to test production improvements.

Digital twins extend beyond designs and engineering, transforming manufacturing processes by integrating manufacturing execution systems (MES). This article explores the crucial role of MES in ...

As it embarks on its stated mission, whereby technology should make factory life simpler, more collaborative and more informed, real-time 3D digital twin technology provider Twinzo has undertaken a ...

Digital twins, emerging within organizations of all types, are ripe for a technological makeover. These digital representations of physical facilities or objects on which users can simulate outcomes ...

The warning comes from a peer-reviewed study titled Personalised LLMs and the Risks of the Digital Twin Metaphor, published in AI & Society. The authors argue that personalized large language models ...