Today, the most successful methods for image-understanding tasks rely on feed-forward neural networks. Although this approach offers empirical accuracy, efficiency and task adaptation through ...

Animals use feedback to rapidly correct ongoing movements in the presence of a perturbation. Repeated exposure to a predictable perturbation leads to behavioural adaptation that compensates for its ...

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 ...