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, ...

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 ...

As enterprise AI matures, competitive advantage is moving beyond model choice toward orchestration, permissions, data access, ...

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 ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

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, ...

AI company Anthropic says that during routine testing some of its models accessed the internet and hacked into three separate organizations’ systems – and that it didn’t notice the models had done so ...

Chinese military researchers distil US models, documents show Distilling done to create smaller and more secure versions of a model Distillation has become a flashpoint in US-China ties as AI ...