Engineering teams are moving toward AI-native workflows that integrate design copilots into existing CAD, simulation, and operational tools, enabling faster iteration and better system-level insight.

As heterogenous integration increases design complexity and forces engineers out of long-standing silos, model-based systems engineering (MBSE) is becoming essential for improving quality and reducing ...

Electronic systems keep getting more complex. Much of the complexity comes from ICs, which can undergo years of design and validation cycles before reaching the market. System design engineering teams ...

AI design copilots and large physics models are reshaping engineering by enabling faster iterations, deeper design exploration, and earlier detection of trade-offs. Automakers like GM now use ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

Discover how to audit and prune your LLM harness to achieve up to six times better performance without changing models.

Something that becomes abundantly clear as you progress through the senior design project is that an idea “on paper” often does not fully translate physically in the prototyping phase. Because at this ...

Recognizing the limits of traditional CAD for creating and controlling highly complex designs, a new effort has been launched to combine 3D modeling, simulation, and manufacturing processes into one ...