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  • On-demand webinar: How Engineers are Preparing for 2035 with Modeling and Simulation

    How Engineers are Preparing for 2035 with Modeling and Simulation

    The world of engineering is undergoing a digital revolution. Gone are the days of relying solely on physical prototypes and lengthy testing cycles. That’s why it’s worth exploring how digital engineering, specifically modeling and simulation, is transforming the industry by offering faster, cheaper, and more innovative design processes.

  • 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

  • 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 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.

  • Deep Learning with MATLAB

    Today we are living in a renaissance of artificial intelligence, Machine Learning, and Deep Learning, and everyone wants to be a part of this movement. But the question is if you interested in using deep learning technology, where do you begin?

  • Machine Learning with MATLAB

    Explore how MATLAB transforms the world of machine learning. Discover 5 areas where MATLAB can help solve diverse learning problems. From interactive apps to Simulink integration, we’ve got you covered.