About This workshop
This hands-on workshop explores the burgeoning field of TinyML, focusing on its application in sustainable computing. Participants will learn how to train and optimize machine learning models for deployment on resource-constrained microcontrollers and embedded devices, thereby reducing energy consumption and carbon footprint. Through practical exercises using popular TinyML frameworks and development boards, attendees will gain the skills to build edge AI solutions for environmental monitoring, smart agriculture, and predictive maintenance. This intermediate-level event is perfect for developers, engineers, and researchers looking to leverage AI in power-efficient, impactful ways.
