Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...

Researchers have developed a deep-learning-based surrogate model that dramatically speeds up simulations of nonlinear optical ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

AI can predict rainfall intensity better than several widely used forecasting models in tests using historical weather data ...