Apply Machine Learning Effectively to Sensor-based Systems

This session is part of our Renesas Virtual Conference. Registration/event page here.

Applying AI/ML to a system is a journey. It starts with being able to represent system behavior with data. This is followed by understanding what features in the data are important and finally building an effective ML model to represent that behavior.
This journey is often non-intuitive to embedded developers and can be overwhelming without the right tools and services. Reality AI (now part of Renesas) offers a complete auto-machine-learning framework that empowers non-AI experts to start leveraging the power of machine learning in their designs.