Joint ICTP-IAEA Workshop on Edge Artificial Intelligence for Environmental and Radiation Sensing

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.

Topics:

• Introduction to EdgeAI and TinyML
• Low-Power Edge Devices for Environmental Monitoring
• Small Size, Weight, and Power (SWaP) Radiation Detection Instrumentation
• Deploying Machine Learning Models on Edge Devices
• Case Studies & Applications
• Data Collection and Preprocessing for EdgeAI
• Energy-Efficient AI Model Design
• Scalability and Sustainability of EdgeAI Solutions

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.