AI agents help engineering teams move faster with adaptive automation that supports broader design exploration and maintains ...
Ensuring the reliability of multi-die assemblies requires a variety of approaches to detect subsurface defects. Bonds and interconnects are especially problematic and require more inspection ...
All engineers are familiar with the engineering design cycle in one form or another. While each step may be represented differently in different interpretations, design is always understood to be a ...
Design for manufacturing is a problem that has always plagued engineering teams. Product designs that look great as computer-aided design (CAD) often run into real-world obstacles when they reach the ...
Two ever-popular courses in Duke’s Master of Engineering for MedTech Design program led by industry-seasoned faculty ...
With electrification rapidly moving from niche to necessity, the real test now is to develop EV technology that works as ...
Design workflows shift as AI and engineering speed shipping; mockup time drops to 30–40%, changing team roles and review cycles.
Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
Stepper motors are increasingly important for positioning tasks in automated systems due to their compact size, cost ...
A panel of industry experts takes a sneak peek at system-level design challenges in EVs and outlines viable solutions.
Flight-test-instrumentation (FTI) equipment acquires flight avionics and aircraft structural and environmental parameter data for real-time monitoring during test flights and for offline analysis.
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