The Rise of TinyML: Machine Learning on a Microcontroller
Machine learning used to mean cloud servers, GPUs, and serious infrastructure. Not anymore. TinyML runs ML models on microcontrollers that cost less than a cup of coffee and run for months on a coin cell battery — an ESP32, an STM32, an Arduino Nano 33 BLE Sense. Chips that fit in your palm. Intelligence that fits inside them. 🧠The Short Version Despite their size, these microcontrollers can now handle real ML tasks — entirely on-device: Keyword spotting — "Hey IoT!" to wake a device without cloud latency Gesture recognition — accelerometer data classified in real time Anomaly detection — catching abnormal behaviour in machines or wearables before failure Visual classification — ultra-low-res cameras identifying objects or events locally No cloud connection. No round trip. No monthly API bill. Just embedded intelligence baked into the hardware — critical for remote areas, latency-sensitive systems, and privacy-first devices where data can't leave the devi...