TinyML: Practical Guide to Deploying Low-Power On‑Device Machine Learning on Microcontrollers and IoT Devices
TinyML: Bringing Machine Learning to the Smallest Devices Machine learning no longer lives only in the cloud. Advances in model compression, hardware acceleration, and toolchains are enabling meaningful inference on microcontrollers and other tiny devices — a field often called TinyML. Running models on-device reduces latency, lowers bandwidth and energy use, and improves privacy by […]