Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

Graphs are a ubiquitous data structure and a universal language for representing objects and complex interactions. They can model a wide range of real-world systems, such as social networks, chemical ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...