On-Demand Webinar Series: Navigating the AI/ML Landscape in Modern Engineering

Taking a Deep-Dive into the Intersecting Domains of AI/ML and Modern Engineering Practices

Watch the webinar series on "Navigating the AI/ML Landscape in Modern Engineering", a journey through the critical aspects of AI/ML and their transformative role in contemporary engineering practices.

Here's what you will learn in each webinar

  • Session 1: Understanding AI/ML: Predictive vs Generative Models
    Explore the unique roles and applications of predictive and generative models within the AI/ML paradigm and how to choose the right model depending on the context and requirements.
     
  • Session 2: Leveraging Image-Based Engineering and Its Applications
    Dive into image-based engineering, explore its value, utilization, and learn about its applications in solving complex engineering problems and promoting innovations.
     
  • Session 3: The Intersection of AI/ML, Optimization and Reliability
    Understand how the amalgamation of AI/ML techniques with optimization and reliability (UQ) can lead to more robust and resilient engineering solutions.
     
  • Session 4: The Crucial Role of Feature Extraction in AI/ML
    Learn about the vital role of feature extraction in AI/ML, how it impacts the performance of predictive models, and the strategies for effective implementation.
     
  • Session 5: Mastering Forecasting Models: ARIMA, LSTM, DMD
    Get an in-depth understanding of popular forecasting methods, including ARIMA, LSTM, DMD, and how to harness these models in practical forecasting situations.


Throughout this series, we'll be showcasing ODYSSEE, an advanced software tool that drives robust and efficient engineering solutions. We will use ODYSSEE to demonstrate live practical applications, making the role of AI/ML in engineering more comprehensible. You can learn more about ODYSSEE on its webpage.

Watch the recordings of the webinar here and download the presentation. You can also find all the questions and answers to the individual sessions here:

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