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  • Real-Time Simulation and Testing with Simulink and Speedgoat

    In this blog and inserted video, recorded at the SciEngineering Conference 2022, we delve deeper into the world of Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) testing and how RCP and HIL testing can be utilized to detect design flaws early in the development process.

  • Reduced Order Modeling based on Neural Networks

    Reduced Order Modeling Based on Neural Networks

    Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB

  • COMSOL Multiphysics Battery Design Module interface

    Battery Pack Design in COMSOL Multiphysics

    Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module.

  • Ai robotics working on a car

    AI: Driving the Industry Towards Greater Success

    Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.

  • MATLAB and Simulink for Automotive

    MATLAB and Simulink for Automotive

    Discover how MATLAB and Simulink drive automotive innovation. Learn how these tools expedite vehicle development and help OEMs meet evolving market demands.

  • MATLAB and Simulink for Artificial Intelligence

    Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.