Our Events

Join us for an in-depth webinar on using MATLAB for the development of next-generation medical devices and digital health applications

Learn how you can analyze and model data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how you can solve many steps in a data analysis workflow without writing...

Artificial Intelligence, particularly deep learning, is revolutionizing automation and business processes. It excels in solving intricate challenges related to images, signals, text, and controls, delivering human-like accuracy in tasks such as object recognition and path optimization. However, it involves assembling vast datasets, building neural networks, training and evaluating models, often requiring specialized hardware and complex theoretical understanding.

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

In this webinar, we learn of the application deployment tools and workflows that MATLAB users can employ to place their applications in the hands of their users. See how MATLAB Compiler tools allow you to create executables, host web apps and package your data in production servers.

The need for advanced civil and defense systems has been brought into sharp focus. In civil, the drive for zero climate impact is driving development of advanced propulsion, autonomous systems, and urban...

This presentation considers the alternative construction of the design space based on experiment data and a grey-box model of the reactions. The models are subsequently used to optimize the production process by changing the process variables. In addition, the effect of uncertainty and variability of the parameters on the process performance is also examined with a Monte-Carlo simulation.