Tech CoLab
Bridge the Gap.
Empower their Decisions.
Empower their Decisions.
Two hands-on board games. Two sides of machine learning. One complete picture, no lectures required.
Start with the game that fits your question. Or play both for the full picture.
AI is any system that performs tasks normally requiring human intelligence: recognising patterns, making decisions, understanding language. Most modern AI is powered by machine learning, meaning it learns from examples rather than following hand-written rules. Every AI model is a pattern-matching machine built from data, and that data shapes everything it can and cannot do.
Machine learning is the branch of AI where systems learn from labelled examples rather than being explicitly programmed. But "ML" is a whole family of techniques: neural networks, decision trees, K-Nearest Neighbors, regression, each with different strengths. Choosing the right approach for the problem is half the battle; most real-world projects don't need GenAI.
Each game teaches a distinct branch of machine learning through hands-on play. Start with one, or run both back-to-back for a full AI literacy session.
Build an analogue neural network. Choose your architecture, curate your training data, and race to make the right prediction. The same layered logic powering ChatGPT, no electricity required.
Place labelled training data on a circular board. Flick photo tokens onto the board. Classification happens by proximity: no neural network, no black box, just distance. Sister game to FuzzNet Labs.
FuzzNet Labs and ClusterFlick are designed as companion games. Together they show participants that "AI" is a whole family of techniques, not just the chatbot they used yesterday.