A hybrid in-depth introduction to tinyML, the field of deploying machine learning (ML) models on devices like microcontrollers and sensors, will be organized by the AI Factory Austria AI:AT on 13 May 2026.
This tutorial guides embedded developers through the full pipeline of developing efficient ML models optimized for low-power, low-memory environments. The class covers the essential stages: model preparation, where participants will explore data preprocessing, feature selection, and designing lightweight models suitable for edge hardware; model evaluation, focusing on performance metrics, accuracy trade-offs, and model compression techniques to ensure feasibility on small devices as well as evaluation in the context of embedded applications; and finally, code generation, where participants will learn how to convert models into deployable code using tools like TensorFlow Lite or TVM, generating firmware for real-world applications.
