Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

THE ARTICLES ON THESE PAGES ARE PRODUCED BY BUSINESS REPORTER, WHICH TAKES SOLE RESPONSIBILITY FOR THE CONTENTS ...

Data readiness is one of the main challenges during detailed design. The ability of a simulator to handle multiple data packages while ensuring traceability and calculating impacts on validation ...

Simplify Simulation Data Analysis with Noesis Solutions Tool Noesis Solutions launches artificial intelligence-driven “Optimus AI Postprocessing” with the release of Optimus 2024.2, company shares.

SimScale, the world’s first AI-native cloud platform for engineering simulation, together with Hexagon’s Design and ...

The Social Policy Simulation Database and Model is also available through the Data Liberation Initiative (DLI). Faculty and students of participating post-secondary educational institutions can access ...

Objectives To evaluate the completeness of reporting of simulation studies on responder analysis methods and simulation performance. Design Systematic methodological survey. Data sources We searched ...

The simulation was developed using a mechanistic model and was validated using historical data collected from an industrial-scale penicillin fermentation process. The simulation can be used as a ...

In this article, we examine how data-centric twins and simulation-driven twins corroborate and complement each other. Merging Simulation and Data . Simulation-driven digital twins are usually made ...