TinyML

TinyML refers to the field of machine learning technologies and applications that are capable of performing on-device analytics at extremely low power, typically in the milliwatt range and below. This allows for the deployment of machine learning models on small, resource-constrained devices such as microcontrollers and other embedded systems, providing benefits like reduced latency and the need for constant connectivity. TinyML is particularly beneficial for IoT devices, environmental monitoring, healthcare wearables, and industrial automation, where power efficiency and real-time processing are crucial.