How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

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.

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

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

A new AI-powered tool delivers injection molding simulation results up to 1000 times faster than traditional methods, enabling engineers to explore vastly more design options during early development.

Expanded collaboration combines agentic AI, physics-based simulation, and digital twins to accelerate engineering and unlock ...

The so-called V-model provides many benefits for organizing the system engineering perspective by depicting the orderly progression, from requirements definition to system-level specification, ...

When AI software startup Monolith was created five years ago, the goal of the company was to create a machine learning tool that relied more on the data and engineering expertise from the design ...

Exciting and unique buildings increasingly dot the landscape of our urban environments and beautifully fill the pages of our design magazines. Conversely, over the past half century the construction ...

Funded by donor support, UD’s Mechanical Engineering Design Studio now features 13,000 square feet and more than $2 million in manufacturing equipment From aerospace projects to medical devices, the ...