Climate change left its signature on the atmosphere early in the industrial revolution, reveals a thought experiment ...

Big data, data mining, artificial intelligence, machine learning, ontologies, and knowledge graphs have all made it possible for numerous new trends, technologies, and approaches in Geoinformatics ...

In a new communications landscape that feasts on polarization, the science community needs to rethink how it engages society ...

And astronomers have a brand-new, superpowerful eye with which to see the changing cosmos: the Vera C. Rubin Observatory in Chile. The Rubin Observatory released its first images last week, and ...

Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier edges. However, for ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into ...

Graph matching (GM) has been a long-standing combinatorial problem due to its NP-hard nature. Recently (deep) learning-based approaches have shown their superiority over the traditional solvers while ...

Researchers have developed a self-tuning AI framework that dynamically filters noisy graph data to boost reliability and accuracy across industries ...

A hidden gene holds the key to a mysterious nutrient vital to life. The discovery reshapes what we know about diet, disease, ...