How do you know your system will actually work? This Tech Talk explains how Model-Based Design enables engineers to build confidence in their systems through verification and validation across the entire development process—not just with testing at the end.…

Learn how to create a custom Simulink® library and add it to the Simulink Library Browser for easy reuse across Simulink projects. Featured topics include the benefits of custom libraries, creating and organizing reusable blocks and subsystems, preventing…

Danfoss partnered with MathWorks to invest in and scale Model-Based Design to streamline software development. Hear about the successful outcome of this investment from Danfoss executives Michael Laursen, director of digital products, and Wladimir Schamai…

Learn how to use MATLAB Coder™ to generate optimized C/C++ code for the YOLOv11 LiteRT model. YOLOv11 is a state-of-the-art real-time object detection and instance segmentation model that predicts object bounding boxes, class labels, and segmentation masks…

Learn how to use MATLAB Coder™ and GPU Coder™ to generate optimized C/C++ and CUDA® code for the Depth Anything V2 PyTorch® model. Depth Anything V2 is a state-of-the-art monocular depth estimation model that predicts dense depth maps from a single RGB image.…

Learn how to configure the DIO pins of a Renesas® RH850/U2A Starter Kit as digital outputs using the MCAL DIO Channel Write block from Embedded Coder Support Package for Renesas RH850 Microcontrollers in Simulink®. In this example, you will write data to…