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.

Pose estimation and localization are critical components for both autonomous systems and systems that require perception for situational awareness. Fusing data from multiple sensors and applying fusion filters is a typical workflow required for accurate localization.

This webinar will demonstrate statistical and machine learning techniques in MATLAB on real-world datasets to monitor manufacturing processes and detect equipment anomalies.

Learn how synthesized radar data can be used to improve your design choices, how design models can be shared across organizations, and how testing data can be used to shorten integration cycles.

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.

On Day 2 of the Accelerate Electric Systems Development with Model Based Design series, we discuss how MBD approaches can significantly improve your workflows from design to verification.