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Today's students need to understand Edge AI and TinyML

The educational landscape of 2026 has outgrown block-based coding. While Scratch introduces logic, the modern world runs on real-time intelligence. Today's students need to understand Edge AI and TinyML—deploying machine learning models directly onto low-power hardware like microcontrollers. Shifting to TinyML transforms passive learners into active innovators. Instead of merely programming static "if-then" commands, students train neural networks to process sensor data, opening doors to advanced applications in AI.

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