Model-based systems engineering is widely used when designing complex systems, but the question remains of when is it right for your project or system. Model-based system engineering is widely used by ...

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

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

Embedded systems power everything from smart agriculture sensors to life-saving medical implants. As their numbers swell into the tens of billions, the engineering community faces a pivotal challenge: ...

At its Year in Infrastructure conference, Bentley highlights the value of open data ecosystems to improve infrastructure resilience and sustainability VANCOUVER, British Columbia--(BUSINESS ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

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 ...

Some enterprises are now using AI-enabled engineering maturity platforms that monitor code quality, team velocity, and AI ...

The online Master's in Space Systems Engineering provides deep immersion and proficiency in modern multifaceted engineering space systems. Students will study under Purdue's renowned faculty and ...

Although digital engineering has been around for years, its use within the Pentagon has been limited. The T-7A Red Hawk is one of only a handful of programs described as “radically digital." (Boeing) ...