MATLAB EXPO 2024 is back! Attend this online event that brings together engineers, scientists, and researchers from around the world to explore the latest advancements in AI, algorithm development, and simulation. With the event happening in three times zones, you can find the best time to attend. Join us to learn first-hand about practical applications of AI, and interact with experts in areas like autonomous systems, renewable energy, and many more.

Registration is free, and the event is open to anyone with a passion for engineering and AI. So, whether you’re a seasoned pro or just starting your journey, there is something for you at MATLAB EXPO 2024.

For more information, visit MATLAB EXPO 2024.

 

Explore AI Applications

The agenda is packed with sessions that spotlight how AI is reshaping engineering workflows. Here are a few must-attend AI sessions:

• AI in the Era of Voice Interfaces and LLMs: Explore how MATLAB can be used to prototype AI-powered voice interfaces, integrating embeddable AI models, deep neural networks, and large language models (LLMs) like ChatGPT, spanning from embedded to cloud implementations.
• Applying tinyML – From Idea to MC deployment: Discover a two-step approach for controlling permanent magnet synchronous motors (PMSMs), by integrating a tiny neural network with PID controllers to correct current deviations and optimize performance, tested for real-time deployment using MATLAB tools and the ST Edge AI Developer Cloud platform.
• Leveraging AI for Superior PV Energy Predictions: This talk showcases Eaton’s use of MATLAB app-based tools to streamline the workflow of training machine learning models for photovoltaic (PV) energy prediction, including data preprocessing, model deployment, and the development of a user-friendly app for PV energy predictions.

Hands-On AI Learning

Hands-on learning is an essential part of MATLAB EXPO, and the AI-focused workshops are designed to help you build and apply AI models with confidence. For example, you can attend:

• Optimizing AI-Enabled Biomedical Signal Processing Algorithms: This workshop provides hands-on experience in optimizing AI-driven biomedical signal processing algorithms for deployment to resource-constrained devices, focusing on reducing computational complexity, compression techniques, and efficient code generation using MATLAB tools.
• Model Autonomous Navigation of a Mars Rover: This workshop teaches participants to navigate a virtual Mars rover using MATLAB and Simulink for sensor data processing, deep learning-based obstacle detection, and path planning, while demonstrating AI-enhanced robotics and autonomous navigation.