Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...

Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state department of transportation (DOT) administrators and engineers. Often, highway ...

Simulation-based education has emerged as a strategic response to placement scarcity, workforce strain, and the increasing ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Simulation-based education has evolved into a foundational component of nuclear medicine technologist training, driven by ...

The Pentagon’s focus on readiness has rarely been sharper. Facing peer competitors, contested domains and constrained budgets, U.S. forces must be trained to fight and win under conditions of ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

As investment in Physical AI accelerates, simulation is taking on a much larger role than simply generating synthetic training data. HPC-based physics simulation is increasingly being used to improve ...

Driven by the need to objectively measure the progress of their verification efforts and the contributions of different verification techniques, IC designers have adopted coverage as a metric. However ...