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In this talk, we will demonstrate how MATLAB and Simulink can help provide a unified environment for the development and simulation of autonomous surface vessels.

The webinars will show the workflow steps starting from modeling the machine and control logic, to desktop simulation and testing, PLC code generation, real-time Hardware-in-the-Loop simulation, and Virtual Commissioning with 3D visualization.

In this workshop, you will learn about the Versal™ adaptive SoC and the architecture of the AI Engine, the various interfaces available in the AI Engine tile, Versal AI Engine Tool Flow and Vitis Model Composer for AI Engine Design.

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

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.

MathWorks medical devices webinar series introduces the best practices in developing medical devices. Our experts will showcase and discuss the latest trends and capabilities in the areas of medical device research, prototyping, verification, and compliance with FDA/MDR regulations for device certification using MATLAB® and Simulink®.

In this webinar, you will learn how to build data-driven fault detection algorithms for induction motors – even if you aren’t a machine learning expert. Starting with a dataset collected from motor hardware, we will walk through the end-to-end process of developing a predictive maintenance algorithm.