About This workshop
This hands-on workshop dives into the practicalities of developing sustainable machine learning solutions for data common in rural and agricultural settings. Participants will learn how to optimize AI models for efficiency, focusing on reduced computational power and environmental impact. We'll utilize open-source tools and real-world datasets from Arkansas, covering topics such as edge AI deployment, federated learning for data privacy, and ethical considerations in AI development. By the end of the day, attendees will have built and deployed a small-scale, sustainable ML application, gaining valuable skills to bring cutting-edge AI to underserved areas.
