AI systems fail because of a context gap—when decisions rely on incomplete, inconsistent and outdated data across systems.

Oleksandra Dmytrenko provides a critical analysis of the application of modeling systems in the military education process ...

Formal methods represent a rigorous suite of mathematical techniques designed to specify, develop and verify system models with a high degree of reliability. In system modelling, these methods provide ...

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 ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

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Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

The technology used to predict sand and dust storm (SDS) severity has for decades systematically overestimated when and where ...

As part of "shift left" to incorporate security discussions earlier in the software development life cycle, organizations are beginning to look at threat modeling to identify security flaws in ...