Imagine a self-driving car navigating downtown traffic. To avoid a collision, it must judge whether the pedestrian at the ...

Many high-performance DTA deep learning models have been proposed, but they are mostly black-box and thus lack human interpretability. Explainable AI (XAI) can make DTA models more trustworthy, and ...

Haptics improvements to Army simulation training makes virtual environments feel more realistic. Simulation doesn’t replace ...

The model will support the simulation analysis of the supply chain network structure evolution and help to carry out in-depth research on the forecast of future trade relations between important ...

Counterfactual explanations are a prominent example of post-hoc interpretability methods in the explainable Artificial Intelligence (AI) research domain. Differently from other explanation methods, ...