Automotive & Transportation - Automotive & Transportation

Siemens Capital software how to YouTube series: How to import 3D harness topology into Capital

Check out Siemens Capital software how to series and learn how to seamlessly import 3D harness topology into Siemens Capital....

By Sarah Bartash

Transform electromechanical design with integrated multiphysics capabilities

The challenge: Are design flaws discovered after prototyping costing you millions in unexpected expenses and months of delay?

By Melville Bryant

Siemens Capital software how to YouTube series: How to merge end nodes on the merged formboard

Check out Siemens Capital software how to series and find out how to streamline merging end nodes on the merged...

By Sarah Bartash

From Apollo to Artemis: How the digital twin is accelerating lunar rover development

Learn how aerospace engineers validate lunar rover designs using Simcenter digital twin simulation. Integrated thermal, structural, and thermo-mechanical analysis reduces hardware risk, accelerates iteration, and enables mission-critical design decisions before physical testing ... essential for Artemis program success.

By Jean-Francois Labrecque-Piedboeuf, Adam Martin

Rethinking Systems Engineering for Software-Defined Products - The Death of the "Shall" Statement:

For decades, systems engineering lived by a comforting, linear reality: you froze physics, wrote thousands of deterministic requirements in an...

By Wesley Aarsen

Siemens Capital software how to YouTube series: How to synchronize with connectivity data and splice positioning

Check out Siemens Capital software how to series to find out how to synchronize with connectivity data in Siemens Capital...

By Sarah Bartash

Verification Horizons

Discover What's Next: Siemens EDA at DAC 2026

Join me at DAC 2026 to discover how Siemens EDA is advancing agentic AI, 3D IC, and software-defined systems—and shaping what’s next for semiconductor engineering.

By Harry Foster

The Art of the Possible

Leveraging know-how with AI into efficient product design

Is your engineering data a hidden goldmine? Overcome the 'cold start' problem in AI by using geometric similarity and transfer learning to transform existing models and simulations into powerful assets, speeding up product design and innovation

By Nicolas Lammens, Stijn Donders

Python in the loop: AI-driven simulation and validation for autonomous systems - Simcenter Prescan 2606

What’s new ADAS and autonomous system development increasingly relies on Python, machine learning frameworks, and large volumes of sensor data. Yet...

By Paul Baumgartner