TinyML at Scale: Quantization for Sub-10 mW Sensors
Running machine learning on a cloud server is easy. Running it on a device that must survive for years on a coin-cell battery is not. TinyML — the practice of deploying machine learning models on microcontrollers and ultra-low-power processors — exists precisely to solve this problem. At scale, the real constraint isn’t compute capability but … Read more