tinyML Foundation

The community for ultra-low power machine learning at the edge.

Join us for the tinyML Summit 2023 – in person – March 27-29, 2023 in San Francisco

About us

tinyML

Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices.

Upcoming Events5

Upcoming

News

November 28, 2022

tinyML Summit 2023 Call for Presentations and Posters

The tinyML Summit 2023 Program Committee invites contributions from experts in industry, academia, start-ups and government labs. This will be an IN-PERSON event (no streaming or pre-recorded presentations).

November 07, 2022

Women in tinyML

Women in tinyML (WitML) is an international non-profit organization on a mission to increase women representation in the field of tinyML.
We promote tinyML and women empowerment around the world with a focus on harnessing technology in sustainable, environment friendly and far-reaching areas/use cases.

Industry News

    January 29, 2022

    TinyML unlocks new possibilities for sustainable development technologies

    In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.

    January 31, 2022

    TinyML is bringing deep learning models to microcontrollers

    Deep learning models owe their initial success to large servers with large amounts of memory and clusters of GPUs. The promises of deep learning gave rise to an entire industry of cloud computing services for deep neural networks. Consequently, very large neural networks running on virtually unlimited cloud resources became very popular, especially among wealthy tech companies that can foot the bill…