Our Events

Join us for a hands-on workshop session where we will demonstrate the workflows offered by MATLAB and Simulink. From data-driven, AI-based solutions to technical and rigorous physics-based simulations, you will gain valuable insights and practical knowledge. This workshop is suitable for anyone who are interested in learning about the workflow for developing Predictive Maintenance (PdM) Algorithms with MATLAB and Simulink.

In this hands-on workshop, participants will learn how to apply principles of AI (machine learning, deep learning, domain-specific preprocessing) to visual inspection workflows.

Join us for a transformative webinar on Predictive Maintenance with MATLAB and Simulink, exploring a captivating case study of a packaging machine. Discover how this innovative approach revolutionizes maintenance strategies, enhances efficiency, and leads to substantial cost savings

MATLAB EXPO brings together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.

In this session we will discuss state-of-the-art approaches for visual inspection and present multiple case studies on how these approaches have been applied in industry.

This session demonstrates an end-to-end MATLAB workflow for developing anomaly detection models in the context of a pill production quality control data set comprising a large collection of images. The objective is to verify the quality of pills using automated visual inspection techniques.

Embracing Predictive Maintenance Now for a Better Future: We have something for all engineers and scientists at our first-ever Predictive Maintenance Technical Talk Live 2022, which will feature three (3) technical talks with live demonstrations and hands-on workshops. Participate in our Tech Talk Live to learn everything there is to know about Predictive Maintenance and help us all move forward together!

This series will look at two current trends affecting mining companies: the need to improve energy efficiency in order to reduce carbon emissions, and the growing benefits of autonomous mine operations. You will hear from experts in the field and MathWorks Australia engineers about the innovations and practical frameworks you can use to address these trends in your own operations.

This webinar will demonstrate statistical and machine learning techniques in MATLAB on real-world datasets to monitor manufacturing processes and detect equipment anomalies.