Physical AI in action: Vision AI, Edge GenAI & cloud control on NXP’s FRDM i.MX 95

Experience physical AI in action with the NXP FRDM i.MX 95 development board. In this hands-on workshop, attendees will deploy Vision AI models on a smart camera to perform real-time inference at the edge and learn how to connect devices to the cloud using Avnet’s /IOTCONNECT™ platform for secure fleet management and remote access to device insights. Explore how Edge GenAI and LLMs can interact with deployed cameras, turning visual intelligence into actionable outcomes.

Migrating from Linux: STMicroelectronics enables efficient GUI solutions

Workshop attendees will see firsthand how to combine a microcontroller with the TouchGFX graphical design tool to create a memory-efficient graphical user interface (GUI). The solution eliminates the need for external DRAM and avoids the complexity and overhead associated with Linux-based systems. Participants will also explore partial refresh technology, which further simplifies system design while reducing memory requirements. Development kits and preconfigured laptops will be provided.

Building your first Edge AI application with Reality AI Tools

During this hands-on session, Renesas experts will demystify edge AI using Renesas Reality AI Tools and show attendees how to build a model in one hour. Learn how Reality AI simplifies developing machine learning applications with real-world sensor data. Then experience a complete, AI-enabled, step-by-step demonstration that shows how to collect data, train a model, deploy it to embedded hardware and view live results. Attendees will see how engineers with little or no machine learning experience can rapidly create intelligent embedded solutions for predictive maintenance, anomaly detection, condition monitoring, gesture recognition and more.