AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

To design an effective software engineering organization that delivers business value, software engineering leaders should begin by understanding the IT operating model (ITOM) targeted by their CIO.

With the advent of AI, the industry has moved from writing code from scratch to AI-assisted or “vibe” coding, and is now transitioning toward fully agentic engineering ...

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 ...

The frontier AI labs continue releasing models that are better than their predecessors, but there’s an interesting change in how they operate ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

In RIT’s software engineering degree, you’ll gain hands-on experience in a collaborative community while learning to design, deploy, and manage software applications. Hands-on Experience: 40 weeks of ...