MATLAB EXPO 2024: AI Innovation in Engineering Projects
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.
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