This project investigated how to predict exchangeable potassium (Kex) in soil through Mid-Infrared Spectroscopy and Artificial Intelligence, specifically using a Convolutional Neural Network (CNN) model. The research aims to explore the integration of AI, soil spectroscopy, and remote sensing in Kex characterization at local and global scales.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments
This project focuses on the use of AI to support IAEA nuclear safety, emergency preparedness and response, and regulatory capacity building activities, including peer review and advisory services. These activities require the analysis of large volumes of heterogeneous information, such as national self assessments, emergency arrangements, regulatory frameworks, technical reports and mission findings. The project examines tailored AI enabled tools to assist with document analysis, knowledge retrieval, consistency checking and synthesis of expert inputs, with the objective of improving efficiency, traceability and knowledge retention while preserving expert judgement.
One tool, called Robotox, is for e-learning courses: it is an agentic AI prototype assistant which can adapt to a learner’s level (from beginner to advanced), deliver scenarios, and generate quizzes. In the context of radiation protection, the project engages international experts to share knowledge and best practices on AI-radiation protection in medicine among Member States. One sub-project focuses on the use of AI for public communication in nuclear and radiological emergencies. Overall, the work emphasizes domain specific, human in the loop applications designed to strengthen Member State capacity, support timely mission outputs and enhance the effectiveness of IAEA support. The project is currently focusing on testing and scaling these tools to benefit Agency staff and ultimately Member States.
A flagship collaborative platform where thousands of students and professionals design and test AI models for real-world use cases, including communication networks and Geospatial AI. The challenges aim to strengthen technical capacities and contribute to ITU’s standards development.
Activity Type Trainings/workshopsTechnical assistanceResearch/Reports/AssessmentsA 5-year Coordinated Research Project (CRP) on AI for Accelerating Fusion R&D. The objective is to accelerate fusion R&D with machine learning and AI by creating a platform and cross-community network for innovation and partnership.
Activity Type Research/Reports/AssessmentsInfrastructure/Systems DevelopmentNetworks/Mentorship/Exchange