Our Events

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.

In this webinar, you will learn how to empower your robots using deep learning and reinforcement learning for perception and motion control in autonomous robotics applications including robot manipulators, autonomous mobile robots, and UAVs using 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.

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.

Engineers who work on autonomous mobile robots (AMRs) often run into different challenges. In this talk, we will address these common challenges by showing how MATLAB and Simulink can help to implement an integrated AMR design workflow.

MATLAB EXPO brings together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.

Learn market analysis using data science, risk analysis before extreme market events, and portfolio construction under cutting-edge optimization methods.