Air quality prediction has emerged as a pivotal application of neural networks, integrating vast spatiotemporal datasets to forecast concentrations of particulate matter and other pollutants. Neural ...

The application of neural networks in flight safety prediction represents a significant advancement in aviation risk management. By harnessing the power of deep learning architectures, researchers ...

Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space. Credit: Alamy Stock Photo Sierra Space says it can ...