Our Events

In this webinar, we will demonstrate a real-world medical application of an ECG analysis and show how you can use MATLAB & Simulink to train and verify AI models. You will learn some basic and advanced techniques in order to fully utilize the benefits of machine learning in biomedical signal analysis.

MATLAB® and Simulink® with deep learning frameworks, TensorFlow and PyTorch, provide enhanced capabilities for building and training your machine learning models. Via interoperability, you can take full advantage of the MATLAB ecosystem and integrate it with resources developed by the open-source community. You can combine workflows that include data-centric preprocessing, model tuning, model compression, model integration, and automatic code generation with models developed outside of MATLAB.

MATLAB provides flexible, two-way integration with many programming languages, including Python. This allows different teams to work together and use MATLAB algorithms within production software and IT systems. This webinar will cover how to call MATLAB from Python and how to call Python libraries from MATLAB.

Did you know that MathWorks has thousands of developers working across all our products? And that we release regular maintenance packages as well as two major releases per year? Drop into one of these sessions to see some of the product highlights that have been added into MATLAB and toolboxes recently. But more than just highlighting a list of features, we’ll share some tips and demos to get the best use out of these as well.

Are you working with engineering or scientific data? Trying to develop an algorithm or model, create a report, or just gain some insights? Join us for this session where we will show how to use the high-level MATLAB language and interactive tools to solve an example problem.

Are you interested in the newest developments and technology trends in the medical devices industry? Do you want to see examples of the next-generation medical devices that companies are creating to advance healthcare? Then watch this webinar to hear more about these important topics and apply them in practice.

Are you working with engineering or scientific data? Trying to develop an algorithm or model, create a report, or just gain some insights? Join us for this session where we will show how to use the high-level MATLAB language and interactive tools to solve an example problem.

In this webinar, you will see the workflow of artificial intelligence that can be implement in the industry. The workflow spans from data preparation to the deployment of the algorithm in real life application.

In this session, we will introduce ideas on how to use reinforcement learning for practical control design with MATLAB and Reinforcement Learning Toolbox. We will cover some of the latest features available in the tool and we will also introduce a complete workflow for the design, code generation, and deployment of the reinforcement learning controller.