Workshop 3: Building Scalable AI Workflows with MATLAB (Finland, Latvia, Norway and Iceland)
| Start Time | End Time |
|---|---|
| 22 Sep 2025, 08:00 EDT | 22 Sep 2025, 11:00 EDT |
Overview
Do you want to see how AI can fit into your research workflow — without spending weeks stitching together tools?
In this hands-on workshop, you’ll learn to build AI models in MATLAB using intuitive apps and scale them on your on-premises HPC cluster. Through real-world examples like industrial fault detection and aviation safety systems, you’ll move from signal and image data to fully trained and testable models – all in a single environment.
Whether you are just getting into AI or looking to operationalize models in simulation or deployment, you will leave with scalable and practical workflows ready to apply to your own research.
For the hands-on exercises in this workshop, you will need access to your institution's on-premises HPC cluster. Attendance at Workshop 2 is mandatory to participate.
Highlights
- Build AI models using no-code and low-code workflows
- Scale training using GPUs, and Parallel Computing Toolbox
- Work with real-world examples in predictive maintenance and aviation AI
- Learn how to integrate AI models into larger system simulations
- Get hands-on with HPC-powered AI tools in MATLAB R2024b
Who Should Attend
- Researchers and engineers using or exploring on-prem HPC resources in Finland, Latvia, Norway and Iceland.
- Professionals in simulation, system modeling, or AI integration
- Anyone interested in end-to-end AI workflows with high-performance training
About the Presenter
Akhil Gopinath
As the AI Academic Liaison at MathWorks for the EMEA region, Akhil’s work centers on partnering with top AI professionals from industry to academia to support the creation of innovative AI-based Systems. His background includes research in AI for surrogate modeling to optimize chemical processes. He has been involved in variety of projects in the past 5 years focusing on IT/OT Automation, Autonomous Systems Development, and Advanced Process & Manufacturing Analytics, collaborating with respected research institutions and industry figures. My focus is on applying academic research to practical industry challenges, driving the integration of AI into future technologies.
Agenda
| Time | Title |
14:00 |
Session 1: AI Made Easy in MATLAB |
|
Use audio signals from air compressors to develop and train ML models. Learn how to scale these workflows on HPC clusters. |
15:45 |
Session 2: AI for Real-World Systems |
|
Train a deep learning classifier for runway sign detection and explore how to build scalable, explainable AI for regulated industries. |
16:45 |
Q&A and Wrap-Up |
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
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