SmartUQ Free Training – Fast & Accurate Physics AI and Machine Learning Software for Engineering and Manufacturing Applications

Webinars

SmartUQ Free Training – Fast & Accurate Physics AI and Machine Learning Software for Engineering and Manufacturing Applications

Thu, Jun 11, 2026 1:00 PM - 2:00 PM CDT

SmartUQ is a powerful Physics AI, Machine Learning (ML), and Uncertainty Quantification (UQ) software tool optimally designed for engineering and manufacturing applications. It was invented to solve modern ML and UQ problems such as those found in jet engine and gas turbine applications. As such, it is well suited for a plethora of ML and UQ applications and is now used by companies and organizations across many industries including aerospace, defense, automotive, heavy machinery, semiconductor, nuclear energy, and medical devices. SmartUQ can be used for solving problems whether large or small, complex or simple. SmartUQ runs on desktop hardware with industry leading accuracy, speed, and flexibility for small, large, low and high dimensional data. Join us for this SmartUQ introductory training to learn through examples how to use SmartUQ’s most popular ML tools for solving engineering problems. This will include tools for space filling Design of Experiments (DOEs), data sampling, training ML models, sensitivity analysis, uncertainty propagation, statistical calibration, and optimization under uncertainty. No prior advanced statistics background or machine learning experience is required, the training will be equally valuable to engineers, scientists, and data scientists.

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.