Matt Damon has claimed that Netflix pushes directors to reiterate the plot for viewers who are watching while on their phones. The actor has just released new action film The Rip on the streaming ...

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...

How are yields shaping up across Ohio as the harvest comes in? It has been almost a month since the federal government shutdown, which means we haven’t seen yield estimates or crop progress reports in ...

Card-reading contact lenses, X-ray poker tables, trays of poker chips that read cards, hacked shuffling machines that predict hands. The technology alleged to have been used to execute a multistate, ...

Efficient drilling in shale reservoirs requires detailed 3-dimensional (3D) horizontal well trajectories. An orthogonal-arc trajectory (OAT) method assumes a single constant curvature in the curved ...

Abstract: In the fields of traffic flow prediction and other intelligent forecasting applications, the technology of multivariate time series forecasting using graph neural networks (GNNs) is ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...