TinyML – Definition & Meaning

Definition of TinyML

: the field of running machine-learning models directly on extremely low-power, resource-constrained hardware such as microcontrollers, usually to analyze sensor data without continuously sending it to the cloud
- The engineer used TinyML to detect an unusual motor vibration on a battery-powered sensor.
- A TinyML wake-word model listened locally while consuming only a small amount of power.

Origin & history

first known use2019

The field coalesced under the name TinyML around 2019, when the tinyML community held its first meetings and Pete Warden and Daniel Situnayake's book TinyML reached its first edition. The tinyML Foundation defines the field around on-device sensor analytics at milliwatt-scale power and below.

Test yourself

Which of these is the meaning of TinyML?

Related terms

on-device AI AI that runs directly on a phone, laptop, car, or other device instead of in the cloud, which… quantization shrinking a model by storing its numbers with less precision (for example 4 bits instead of… inference the act of running a trained model to produce an output, such as answering a prompt or… neural network a computing system made of many simple connected units ("neurons") arranged in layers, which… small language model a compact language model, usually with a few billion parameters or fewer, designed to run… compute computing power, especially the chips and processing time used to train and run AI models

Cite this entry

"TinyML." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/tinyml/. Accessed 4 Oct. 2026.