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, ...

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 ...

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 ...

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 ...

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

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

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 2026, Microsoft’s Copilot and OpenAI’s ChatGPT have evolved into mature productivity platforms with distinct strengths. Copilot thrives on deep integration within Microsoft’s ecosystem, offering ...