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Modern Machine Learning

Modern Design of Experiments and Data Sampling for Simulation, Test, and Digital Twins

Wed, Mar 20, 2024 1:00 PM - 2:00 PM CDT

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s design of experiment (DOE) and data sampling tools. The unique strengths and capabilities of SmartUQ’s tools will be highlighted along with a software demonstration and examples from customer use cases.

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SmartUQ Free Training – Fast & Accurate Machine Learning Software Introduction for Engineering Applications

SmartUQ Free Training – Fast & Accurate Machine Learning Software Introduction for Engineering Applications

Wed, May 15, 2024 1:00 PM - 2:00 PM CDT

Join us for this SmartUQ introductory training to learn through the use of example problems how to use SmartUQ’s most popular ML tools for solving engineering problems.

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Introduction to SmartUQ Machine Learning Software for Engineering Applications

Wed, Aug 07, 2024 1:00 PM - 2:00 PM CDT

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will provide an introduction to SmartUQ.

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Modern Design of Experiments, Model Validation, and Machine Learning Methods for Pharmaceutical Simulations

On Demand

This webinar will discuss the role modern design of experiments and machine learning tools such as statistical calibration can play in validating and maximizing the knowledge gained from pharmaceutical simulations.

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Cutting-edge Machine Learning Software Webinar: Introduction to SmartUQ 9.1 Release

On Demand

This webinar will demonstrate the new features within SmartUQ software and conclude with a Q&A session.

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Machine Learning and Artificial Intelligence

SmartUQ Machine Learning Software Complements JMP (Pro) Software

On Demand

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement JMP (Pro).

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Design of Experiments, Validation, and Machine Learning for Structural Simulations

On Demand

This webinar will discuss the role design of experiments and machine learning tools such as statistical calibration can play in validating and maximizing the knowledge gained from structural simulations.

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Digital Turbine Engine

Fast, Accurate, and Comprehensive Machine Learning for Automotive Simulations and Digital Twins

On Demand

Join us for his webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce some of SmartUQ’s tools for simulation and digital twin applications.

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Digital Turbine Engine

Fast, Accurate, and Comprehensive Machine Learning Software for Aerospace and Defense Simulations and Digital Twins

On Demand

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce many of SmartUQ’s tools for simulation and digital twin applications.

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Machine Learning and AI

Fast, Accurate, and Comprehensive Machine Learning Software for Computational Fluid Dynamics

On Demand

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for Computational Fluid Dynamics.

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Digital Turbine Engine

SmartUQ Workshop: Accurate, Comprehensive Machine Learning Software for Engineering Simulation and Digital Twin Applications

On Demand

During this workshop a SmartUQ Application Engineer will introduce SmartUQ and present customer simulation and digital twin use cases from a variety of industries including aerospace, defense, and automotive.

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Introduction to SmartUQ 8.2

Cutting-edge Machine Learning Software Webinar: Introduction to SmartUQ 9.0 Release

On Demand

SmartUQ principal application engineer, Gavin Jones, will highlight the latest capabilities and benefits in SmartUQ 9.0.

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Uncertainty Quantification for Simulation Modeling in the Medical Device Industry

On Demand

Join us for this SmartUQ software demo to learn through the use of example problems how to use SmartUQ’s most popular Machine Learning tools for solving problems found in the medical device industry.

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SmartUQ’s Best in Class Gaussian Process Models for Simulations

On Demand

Join us for this free webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce SmartUQ’s GP models and present more detailed results of the benchmarks.

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Machine Learning for Narrowing the Simulation-Test Gap: SmartUQ’s Data Matching and Bayesian Calibration

On Demand

Join us for this introduction to SmartUQ's Data Matching and Bayesian Calibration and to see a demonstration of their uses.

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Machine Learning for Prediction of Systems with Discontinuous Response: SmartUQ’s Mixed Input Classification Emulator

On Demand

Join us for this introduction to SmartUQ's Mixed Input Classification Emulator and to see a demonstration of its uses.

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Machine Learning for Prediction of High Dimensional Systems: SmartUQ’s Active Dimension Hybrid Emulator

On Demand

Join us for this webinar to learn about SmartUQ's Active Dimension Emulator and to see a demonstration of its uses.

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Machine Learning for Spatial and Temporal Response Prediction: SmartUQ’s Spatial/Temporal Emulator and Varying Geometry Module

On Demand

Join us for this webinar to learn more about SmartUQ’s Spatial/Temporal Emulator and Varying Geometry module.

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Machine Learning for Functional Response Prediction: SmartUQ’s Functional Response Emulator

On Demand

Join us for this webinar to learn about SmartUQ's Functional Response Emulator and to see a demonstration of its uses.

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Artificial Intelligence and Machine Learning for Automotive Applications

On Demand

Join us for this webinar to learn how AI and machine learning models can be used to enhance automotive design and manufacturing applications.

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Introduction to SmartUQ 8.2

SmartUQ Demonstration Webinar: Introduction to SmartUQ 8.2 Release

On Demand

SmartUQ principal application engineer, Gavin Jones, will highlight the latest capabilities and benefits in SmartUQ 8.2.

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Machine Learning and Artificial Intelligence for Engineering Simulation

On Demand

This 60-minute Webinar discusses the methods needed to address the challenges involved with building ML and AI models for engineering simulations.

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Artificial Intelligence and Machine Learning for Aerospace and Defense Applications

On Demand

Join us for this webinar to learn how AI and machine learning models can be used to enhance aerospace and defense design and manufacturing applications.

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Artificial Intelligence and Machine Learning for Semiconductor Design

On Demand

Join us for this webinar to learn how artificial intelligence and machine learning can be used to improve the semiconductor design process.

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Artificial Intelligence and Machine Learning for Semiconductor Manufacturing

On Demand

Join us for this webinar to learn how machine learning models trained on recorded data or simulations can be used.

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Digital Engineering Fundamentals

On Demand

In this 8-hour course, students will gain an in-depth understanding of Digital Engineering tools, principles, and practices. They will learn to think digitally, not digitized, and to focus on DE to transform lifecycle processes to deliver knowledge enabling better decision making at the speed of relevance.

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The Role of Machine Learning and AI for Digital Twins

On Demand

This webinar will introduce the role of machine learning and AI for Digital Twins.

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From Optimization to Uncertainty Quantification through Machine Learning

From Optimization to Uncertainty Quantification through Machine Learning

On Demand

This webinar will provide an introduction to machine learning based UQ and emulation and their benefits to optimization. Examples will be used to highlight the additional benefits of such an approach over more basic optimization techniques.

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Machine Learning for Quantifying Uncertainties

Machine Learning for Sensitivity Analysis of Engineering Simulations

On Demand

This webinar will provide an introduction to both sampling and predictive modeling based sensitivity analysis.

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Machine Learning for Quantifying Uncertainties

Machine Learning for Quantifying Uncertainties in Engineering Applications

On Demand

Hosted by AIAA, This course will provide an introduction to ML, with particular focus on those tools and techniques required for UQ.

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Demonstrating Machine Learning

Demonstrating Machine Learning for Narrowing the Simulation-Test Gap

On Demand

Establishing how well a numerical simulation represents reality is one way to make simulation results more trustworthy for decision makers.

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Machine Learning and Artificial Intelligence

Machine Learning and Artificial Intelligence for COMSOL® Simulations

On Demand

Hosted by Mechanical Engineering, this 60-minute webinar provides an introduction to the topics of machine learning (ML) and artificial intelligence (AI) methods for analyzing COMSOL® simulations including how to address the associated challenges.

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Modern Machine Learning

SmartUQ Software Tutorial: Demonstrating Modern Machine Learning for the Manufacturing Industry

On Demand

This 90-minute tutorial will provide an introduction to the basics of machine learning (ML). Attendees will be shown through the use of example problems how to use SmartUQ’s most popular ML tools for solving engineering problems.

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Decision Making

Introduction to Decision-Making Under Uncertainty for Practitioners

On Demand

This webinar will discuss how predictive analytics and UQ can help decision makers in these uncertain times.

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Machine Learning and AI

Machine Learning and Artificial Intelligence for Engineering Simulation: Introduction and Challenges

On Demand

This webinar will discuss how building ML and AI models for engineering simulations can be challenging and methods to address these challenges.

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simulation

The Blessings of Predictive Models for Fast-running Simulations

On Demand

With examples from COMSOL Multiphysics, this webinar will illustrate the benefits of building a predictive model for a fast-running simulation.

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Heart Stent

SmartUQ Mini Demo Webinar: Statistical Calibration of a Balloon Expandable Coronary Stent Simulation

On Demand

This demonstration webinar will illustrate how the UQ toolset in SmartUQ can be applied to an end-to-end case study which the performance of a balloon expandable coronary stent model is analyzed with respect to geometric and material property variation.

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Porous Reactor

SmartUQ Mini Demo Webinar: Predictive Analytics and Uncertainty Quantification of a Microscale Porous Reactor Simulation

On Demand

This webinar will illustrate how the analytics tools in SmartUQ software can quantify uncertainties and provide valuable insights for a simulation model of a microscale porous reactor. In addition, SmartUQ is used to determine the optimal geometric parameters for a concentration at the outlet of the reactor.

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Bracket

SmartUQ Mini Demo Webinar: Lightweighting a Bracket Simulation Model with Uncertainty Quantification

On Demand

This demonstration webinar will illustrate how the UQ toolset in the SmartUQ software determines the geometric parameters to minimize the bracket’s weight subject to fatigue life and maximum displacement under loading constraints.

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Electric Motor

Predictive Analytics for the Digital Twin: An Electric Motor Use Case

On Demand

The webinar will present an electric motor digital twin use case. The use case will walk through how data from physical sensors along with predictive analytic techniques like statistical calibration can improve the accuracy of a digital twin while leading to new insights such as predictive maintenance or health monitoring.

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Uncertainty Quantification Histogram

From UP to UQ: Using Analytics to Take Uncertainties out of Engineering Simulations

On Demand

This webinar will discuss and compare sampling-based and emulator-based methods for Uncertainty Propagation. Using example problems and software demonstrations for illustration, the webinar will also show how using additional UQ methods improves the decision-making process.

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Digital Twin Plane

Increasing the Value of Test and Evaluation through Integration of Uncertainty Quantification

On Demand

This webinar will present a digital, model-based systems engineering approach to T&E enabled by uncertainty quantification.

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Solving Simulations

Solving Simulation Challenges with Statistical Methods

On Demand

This webinar focuses on statistical methods for handling three classes of CAE modeling challenges: insufficient or inadequate sampling of a design space, high computational expense of simulations, disagreement of simulation models with physical tests.

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Oil Pump

Introduction to UQ and Predictive Modeling for the Oil & Gas Industry

On Demand

This webinar is an introduction to Uncertainty Quantification and predictive modeling techniques for reservoir engineers, drilling engineers, equipment design teams, simulation engineers and data scientists in the oil & gas industry who want to find ways to reduce time, improve design robustness, or make better decisions from the data they have.

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Military Jet

Uncertainty Quantification and Decision Analytics for Aerospace and Defense

On Demand

With a SmartUQ demo for illustration, this webinar will go through the three steps of decision analytics - descriptive, predictive, prescriptive - and how Uncertainty Quantification plays a role in each.

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Heavy-Duty Vehicle

Enhanced Six Sigma with Uncertainty Quantification

On Demand

Using three case studies for illustration, this webinar will demonstrate how simulations combined with UQ techniques can enhance Six Sigma statistical modeling processes.

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COMSOL NACA Simulation

Coupling SmartUQ's Predictive Analytics Solutions to COMSOL Multiphysics®

On Demand

This webinar will show how SmartUQ's software can enhance product development and design exploration activities in the COMSOL Multiphysics® software through the application of predictive analytics and UQ techniques. Using a NACA airfoil CFD simulation for demonstration, this webinar will discuss SmartUQ’s analytics workflow coupled to COMSOL Multiphysics®.

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