The call for applications is now open. Please click "Apply here" on the left.

This workshop is dedicated to exploring the transformative potential of Edge Artificial Intelligence (EdgeAI) and Tiny Machine Learning (TinyML) in advancing environmental and radiation sensing technologies.

By enabling powerful, real-time data analysis directly on resource-constrained devices, EdgeAI and TinyML offer a crucial shift from cloud-dependent processing. This paradigm allows for the deployment of intelligent, ultra-low-power sensors in remote, infrastructure-poor, or time-critical environments. Participants will learn how these technologies facilitate tracking climate-related changes, monitor environmental parameters and provide rapid, localized radiation detection. Ultimately, the focus is on developing and deploying robust, autonomous, and cost-effective sensing solutions essential for proactive disaster management, environmental protection, and public safety.


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Research abstracts: In the application form, applicants are encouraged to submit a brief research abstract for a poster presentation and/or contributed talk. A limited number of abstracts will be selected for the poster session or to give a talk. Please use ICTP templates available for download below.

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.