TinyML Empowering Intelligent Edge Devices

Title

TinyML Empowering Intelligent Edge Devices

Creator

Joy, Helen K.; Jayarani, Electa Alice; Sridevi, R.

Description

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. 2026 by IGI Global Scientific Publishing. All rights reserved.

Source

AI-Based Solutions for Engineering;pp.71-101

Date

01-01-2025

Publisher

IGI Global

Coverage

Joy H.K., Christ University, India; Jayarani E.A., Kammavari Sangha's Institute of Technology, India; Sridevi R., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833730748-0; 979-833730746-6;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-0746-6.ch003

https://www.scopus.com/pages/publications/105017546582?origin=resultslist