TinyML Empowering Intelligent Edge Devices
Helen K. Joy, Electa Alice Jayarani, R. Sridevi · Advances in computational intelligence and robotics book series · 2025
Tiny Machine Learning (TinyML) bridges the gap between artificial intelligence and low-power embedded systems, enabling devices like microcontrollers to process data locally and operate autonomously. This chapter explores the foundational principles of TinyML, its applications across industries such as IoT, healthcare, industrial automation, and environmental monitoring, and the tools enabling its deployment. It also addresses challenges, including energy efficiency and model optimization, while providing insights into future advancements such as federated learning and neuromorphic computing. This chapter offers a comprehensive understanding of TinyML's transformative potential and its pivotal role in AI-based engineering solutions.