Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

We also propose a graph-based multimodal fusion framework (GMFF) to accurately quantify FOG severity. GMFF employs the graph attention mechanism to extract modality-specific features and utilizes the ...

Several common physics-based solvation models are used in the evaluation. Graph neural network architectures are tested for their ability to generalize using multiple data set splits, including out-of ...

However, the high-dimensional complexity of spatiotemporal phenomena makes these models difficult to interpret. This paper proposes a river network feature identification architecture based on coupled ...