Sự Kiện

Explore how Agentic AI, MATLAB, and Simulink empower engineering teams to automate workflows, accelerate design and simulation, and deliver innovations faster with AI-driven engineering.

Webinar in Bahasa: Join our webinar and discover how the Engineer-in-the-Loop (EITL) approach with MATLAB & Simulink enables Agentic AI to accelerate coding, modeling, and simulation - without compromising your engineering control and rigor.

Join this webinar to explore how Agentic AI with MATLAB and Simulink enables autonomous engineering agents through a continuous Reason-Simulate-Verify loop for faster, smarter, and more reliable development.

Join this webinar to explore how engineers can achieve zero-defect code using formal methods, static analysis, and automated verification. Learn best practices to improve software quality, enhance safety, and accelerate development for safety-critical and embedded systems.

Learn how Model-Based Design helps future-proof automotive software through modular architecture, code reuse, and safety-focused development for faster innovation and compliance.

Join industry leaders and MathWorks engineers at MATLAB EXPO 2025 on November 12–13 to get the latest information about AI, electrification, wireless communications, and Model-Based Design.

Join us in Makati City for a full-day seminar and hands-on workshop on how MATLAB® and Simulink® are driving clean energy innovation in the Philippines and Southeast Asia. Gain hands-on experience, learn from experts, and explore real-world applications in renewables, microgrids, and energy storage.

Join our session exploring how Model-Based Systems Engineering (MBSE) and fault injection can improve the reliability of critical medical device alarms. Learn how this approach addresses IEC 60601-1-12 compliance, reduces logical errors in FMEA, and ensures alarms like the high-pressure alert function correctly—even under single-fault conditions. Includes live demo, insights, and Q&A

In this seminar, you will learn Simulink basics for modelling, simulating, and testing control design for multi-domain dynamic systems. You’ll gain insight on how to build models, design control algorithms, and analyse simulations. After learning some basics, you will see how you can tie requirements to your design, test for traceability and verification, and generate code for your software implementation.