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Webinars

SmartUQ Machine Learning Software Complements Siemens Heeds

On Demand

SmartUQ is a powerful Machine Learning (ML), uncertainty quantification (UQ), and statistical software tool optimally designed for modern science and engineering applications such as simulation, test, digital thread, digital twins, and manufacturing. SmartUQ has a wide variety of tools including modern design of experiments (DOEs), ML models, statistical calibration, inverse analysis, data sampling, sensitivity analysis, uncertainty propagation and stochastic and reliability-based optimization.

Siemens Heeds is a tool primarily focused on optimization and design exploration with limited DOE, ML modeling, and analytics capabilities. SmartUQ is complimentary to Siemens Heeds as it is designed for a different purpose and has different strengths.

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement Siemens Heeds. The significant speed, accuracy, and variety advantages of SmartUQ’s ML models as compared to those offered in Siemens Heeds will also be covered.


Presented by Gavin Jones, Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.