Time series modeling helps you understand and predict how systems change over time by analyzing data collected at regular intervals. Learn what time series data is and why it matters through relatable examples such as sleep tracking and home energy usage.…

This video demonstrates how to use MATLAB Copilot to streamline the course design process for MATLAB-based classes. It covers writing clear, measurable learning objectives using the ABCD model, generating tailored learning activities from those objectives…

Hear how Dr. Arnold Pretorius at the University of Cape Town developed a course on mobile robotics. The course offers a comprehensive, hands-on introduction to Model-Based Design for robotics applications—including arm-type, wheeled, and aerial robots—tailored…

Pérez Zerpa et al., (2026). ONSAS: an Open Nonlinear Structural Analysis Solver for GNU-Octave/MATLAB. Journal of Open Source Software, 11(120), 9604, https://doi.org/10.21105/joss.09604

MATLAB Parallel Server™ lets you scale your MATLAB® applications and Simulink® simulations on clusters and in the cloud. Learn how you can develop on the desktop and scale on clusters without rewriting your code.

Learn more: https://bit.ly/parallel-server…

Learn how time series models are built, from preparing historical data and training models to using them on new data.----------------------------------------...

Learn about three core applications of time series modeling: pattern recognition, forecasting, and anomaly detection.----------------------------------------...

Follow a workflow for synthetic data generation with Simulink 3D Animation™. Learn how to use the available pre-built scenes, add actors to the scene, place sensors, and collect sensor and ground truth data. You’ll also learn how to adjust lighting and weather…

Through a guided “flight” across a hypothetical airplane, see how different modeling methods apply to real-world problems, such as using ARIMA for forecastin...

Polyspace® static code analysis products enable engineers to develop C, C++, and Ada embedded software that are safe, secure, and compliant with industry standards.

They provide the following key benefits:
- Find run-time errors, concurrency issues, security…

The Extended Tire Features for Vehicle Dynamics Blockset™ provides a complete set of tools for working with tire measurement data and tire models in vehicle dynamics simulations. It supports the full workflow from importing and preprocessing measured tire…

Using the Time Series Anomaly Detector app, train models that characterize normal system behavior without requiring labeled anomalies. Interactively train and test anomaly detectors using statistical and AI methods to develop algorithms for various engineering…

Space weather can dramatically alter satellite orbits, and if you’re not modeling it, your predictions can be way off. Explore how space weather, which is caused by solar activity like geomagnetic storms, solar flares, and coronal mass ejections, heats and…

Release 2026a offers hundreds of new and updated features and functions in MATLAB® and Simulink®.

Learn more about what’s new in R2026a: https://bit.ly/3sNGWfo

New Products:
• Simulink Copilot – AI assistant optimized for Simulink.
• MATLAB Course Designer…

Speed up end‑to‑end spectral labeling with the Spectral Image Labeler app in MATLAB®. This demo begins with the essentials: loading multispectral and hyperspectral scenes and selecting the visualization that best separates materials in your data. You can…

MATLAB Coder Support Package for PyTorch® and LiteRT Models enables you to generate readable and portable C/C++ source code from a variety of pretrained PyTorch and LiteRT (formerly TensorFlow™ Lite) deep learning networks.

You can integrate the complete…

Simulink Copilot provides generative AI–powered capabilities focused on Simulink® and Model-Based Design. You can use Simulink Copilot to explain models and errors, learn tools and techniques, get design guidance, and automate predefined tasks, such as checking…