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Stories, Papers und Videos zu Engineering Intelligence, von unserem Team und den Ingenieuren, mit denen wir arbeiten.
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The Tests You Don't Run, and How to Defend Them
Eight weeks before start of production of a vehicle facelift, three things change: a new supplier variant of the brake-pedal sensor, a software bump on the brake ECU, and one CAN signal that now arrives on a faster ...
AI Agents for Engineering: What They Are and What They Cannot Do Yet
Every engineering tool now promises an "agent." The label is doing a lot of work. Sometimes it means a chatbot with a new name, sometimes a copilot that drafts text, and occasionally something that can actually take a ...
AI-Native PLM: What It Actually Means for Engineering
Every PLM vendor now has an AI roadmap. There is a copilot in the toolbar, a chatbot on the change form, a "smart" search box over the document vault. It demos well and changes little, because the intelligence is bolted ...
SDV Architecture: How Software-Defined Vehicles Are Actually Built
For decades, a car's electrical architecture was mostly a wiring diagram. Add a feature, add a box: a new electronic control unit, a new harness, another line on the bus. SDV architecture breaks that habit. In a ...
Closed-Loop Digital Twin: Turning Field Feedback Into Engineering Action
Most digital twins are one-way mirrors. They show the product as designed and, at best, as built, but the story stops there. What the product actually does once it is in customers' hands, the faults, the drift, the ...
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