Petro-SIM® 7.7 is an advanced process simulation, optimization, and digital twin platform for engineers and safety ...

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 ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

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 ...

Exclusive Interview with Radha Krishnan, Founder and President, Detroit Engineered Products (DEP). He discusses how AI-powered simulation is accelerating engineering workflows, reducing development ...

AVL supports international customers and partners in their sustainable and digital transformation. The company focuses on electrification, software, artificial intelligence, and automation. In ...

Engineers working in the emerging areas of advanced air mobility (AAM) and electric vertical take-off and landing (eVTOL) may be in uncharted skies, literally and figuratively. While transforming ...

On the same day IEEE Spectrum reported that General Motors had compressed two weeks of aerodynamics analysis into a matter of minutes using AI trained on simulation data, the broader field that made ...

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 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 ...