TinyML is a new technology that allows machine learning models to run on low-cost, low-power microcontrollers. This technology has a significant role to play in achieving the Sustainable Development Goals (SDGs) and in enabling new applications in fields such as healthcare, agriculture, environmental monitoring and conservation. TinyML is also a great educational tool as it explores topics from across the computer science and engineering curricula. In this workshop we will discover practical applications of TinyML in addressing global challenges that are particularly relevant to African researchers and we will provide hands-on training on commercially available hardware.

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Note: Participants will be invited to submit articles in Special Issue on Artificial Intelligence and Sustainable Development of the Journal of Artificial Intelligence for Sustainable Development (JAISD).

The Workshop is partially supported by the European Union’s-funded project RAIDO with the Grant Agreement No 101135800

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.