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 ...

Engineering has always depended on the ability to test ideas before committing them to expensive physical prototypes, ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

From luxury watches to GPU cold plates, engineers are finding real value in surrogate models—when the cost-benefit tradeoff makes sense. Surrogate models show the exciting impact AI can have on ...

Figure 1. (click to enlarge) Part-level flow simulation. The diversity and complexity of medical devices are likely to increase with time, as will the associated design risks and manufacturing ...

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 ...

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 ...

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 ...

Comsol’s Bjorn Sjodin explains the value of reduced order modeling, how chatbots can help simulation beginners and what better AI could lead to. Engineering.com recently spoke with Bjorn Sjodin, ...

Jean Baudrillard could hardly have imagined the extent to which simulations have come to pervade everyday life. Whereas Baudrillard postulated a future in which reality dissolves into a system of ...