This project aims to promote and enable the use of isotopic techniques with AI tools for better management of water and environmental resources. It serves as a platform for scientists to share experiences and find synergies between isotope techniques and AI to inform policies.
Activity Type Research/Reports/AssessmentsAwareness/AdvocacyNetworks/Mentorship/ExchangeThis 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/AssessmentsIntegration of AI capabilities to support prioritization, categorization, multimedia transcription and translation during the review of open-source information, enabling analysts to process growing data volumes more efficiently while ensuring that all information is reviewed by human experts.
Activity Type AI Tools/SolutionsThis project features a Collaborating Centre on AI for Nuclear Power at Purdue University and a Joint IAEA-ICTP Workshop. It supports programmatic activities that foster innovation, knowledge sharing, and the deployment of AI solutions in reactor design and operation.
Activity Type Research/Reports/AssessmentsNetworks/Mentorship/Exchange