Working with simple hand-drawn shapes on sticky notes, participants will teach a computer to tell two shapes apart by capturing training photos, training a model, and testing it live with their camera. Along the way, they'll discover how the quantity and diversity of training data directly affect a model's accuracy, gaining an intuitive, firsthand understanding of how machine learning actually works and what it takes to make AI smarter.

Smart Snacks: How AI Learns from Data is designed to blend naturally into concepts students are already building in the classroom.