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 ...

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, ...

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 ...

Researchers at the UCLA Samueli School of Engineering have created a technology capable of producing novel images using photonics — employing only a fraction of the energy and computational steps per ...

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure ...

CHARLESTON, SC – The Naval Information Warfare Center (NIWC) Atlantic Model-Based Systems Engineering (MBSE) Program recently held a graduation ceremony that elevated the program from a technical ...

When implementing AI systems, choosing between a rule-based vs. machine learning architecture is critical to an application's usability, compatibility and efficiency. Rule-based systems are a basic ...

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 ...

Planning and operating a power system requires detailed grid studies to guide investment decisions and prepare for how the system may evolve over time. Long-term planning can identify the policy, ...

Cancer patients' messages about radiology/pathology reports: Insights for AI. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component ...