Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

PP: SOS Enterprise provides a comprehensive security framework designed for the most demanding environments. At its ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

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 ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

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 ...

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 ...

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 ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

HTEC, the global technology and AI engineering firm headquartered in Silicon Valley, last week showcased how it used Lakebase data branching to enable faster development, safer operations, and new ...