MATLAB and Simulink Seminars

Next-generation MATLAB: increasing collaboration and productivity

Overview

Join this seminar to learn about the latest and greatest MATLAB capabilities in the era of generative AI. You will learn about MATLAB Copilot, our new AI-based productivity tool, and other useful new features in the MATLAB desktop.

Through interactive hands-on demos, we will also show how you can develop advanced data analytics workflows and interactive applications with ease. Moreover, we will demonstrate how you can leverage MATLAB and Python together, increasing collaboration and code reuse.

Highlights

  • New desktop features in R2025x
  • MATLAB Copilot – a new productivity tool based on generative AI
  • Developing analytics easily using low-code tools
  • Using MATLAB and Python together
  • Building and deploying interactive apps

Who Should Attend

Engineers and scientists working in MATLAB

About the Presenter

Olof Larsson is a Senior Application Engineer at MathWorks based in Sweden. He supports customers with AI workflows, application deployment and large-scale computing. Olof has been at MathWorks for nine years. He has an M.Sc in Applied Physics and Electrical Engineering from Linköping University.

Antti Löytynoja is a Senior Application Engineer at MathWorks, specializing in MATLAB-based workflows such as data analytics, machine learning, and predictive maintenance. He also dedicates much of his time to helping MathWorks customers integrate their MATLAB algorithms into external applications. With over 14 years of experience at MathWorks, Antti previously worked as a researcher at Tampere University of Technology, where he focused on applications of audio signal processing.

Agenda

Time Title

09:00 – 09:30

Registration & Breakfast

09:30 – 10:10

Improve your productivity in MATLAB

  • Introducing a new user interface for MATLAB
  • Utilizing generative AI with MATLAB Copilot to support your workflows

10:10 – 10:30

Coffee break

10:30 – 11:30

Data Analytics

  • Low code tools

11:30 – 12:30

Lunch and coffee

12:30 – 13:15

Building and sharing interactive applications

  • Designing user interface
  • Using object-oriented code for data, property, and callback management
  • Testing apps with the App Testing Framework
  • Sharing MATLAB apps via app packages, standalone executables, and web-based apps

13:15 – 14:15

MATLAB + Python

  • Call Python from MATLAB
  • Call MATLAB from Python
  • Import Python –based AI models into MATLAB

14:15 – 14:30

Closing and coffee

Product Focus

Registration closed

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