A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 percent, far outperforming conventional models.

Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new ...

Graph-based data consist of interconnected nodes and relationships. When features or connections are missing, graph completion methods can help reconstruct the incomplete information. Graphs are a ...

Whereas traditional neuroscience relies on static snapshots of brain activity, the future of neuroimaging demands dynamic, high-fidelity monitoring of ...