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, ...

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 ...

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 ...

Automated software engineering encompasses the use of tools, methods and models to automate or assist in the full spectrum of software development activities, from requirements capture to deployment ...

To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...

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 MathWorks Automotive Conference 2026 India showcased the integration of AI, simulation, and Model-Based Design in vehicle development, highlighting the future of software-defined vehicles and ...