A team of researchers has unveiled a groundbreaking method leveraging Graph Neural Networks (GNNs) and transfer entropy to significantly enhance the prediction of mesozooplankton community dynamics ...

Accurately modeling gross primary productivity (GPP) and evapotranspiration (ET) in terrestrial ecosystems is essential for understanding and predicting the global carbon and water cycles. However, ...

WWF and its partners announce the winners of a call for grants launched earlier this year to undertake research in Biodiversity and Ecosystem Services Modelling Scenarios. Better understanding the ...

A study from the University of Aberdeen has revealed a new approach to evaluating the ecological impacts of offshore activities. The paper is published in the journal Ecological Solutions and Evidence ...

Environmental DNA (eDNA) and metabarcoding are transforming biodiversity monitoring by enabling rapid, non-invasive assessments of community composition ...

Satellite images from space are allowing scientists to delve deeper into the individual functions of different tropical forest canopies with new and surprising results. Understanding tree traits and ...

In February 2026, Tencent tore down its pre-training and reinforcement-learning infrastructure and rebuilt both from scratch.

This publication was produced as part of the IAEA's Modelling and Data for Radiological Impact Assessments (MODARIA I and MODARIA II) programmes. It summarizes the activities of the Working Groups ...