Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...

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 ...

For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

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 ...

Introduces technical managers involved in Systems Engineering to digital engineering, with a focus on Model Based Systems Engineering (MBSE) and how it is used during system development. Concepts ...

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 ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

The new Gemini 3 Flash AI model from Google is built for faster output at a lower cost, and functions as well as previous ...

A multidisciplinary team integrated clinical need, cancer biology, and microfluidic bioengineering to advance ...