Getting productive with machine learning

As the use of machine learning (ML) increases, it is valuable to have practical, easy-to-read resources that serve as a guide when performing your simulation.

ML capabilities can offer value to the computer-aided engineering (CAE) practitioner, from reaching faster insights to creating tailored solutions. One solution is to leverage the ML capabilities in Simcenter™ software, namely Simcenter Reduced Order Modeling software, HEEDS software, Simcenter Studio software and Simcenter Testlab software, which are part of the Siemens Xcelerator business platform of software, hardware and solutions.

This white paper will cover the Simcenter ML capabilities and provide examples of various use cases, guiding users in transitioning to ML.