Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Abstract Model robustness indicates a model's capability to generalize well on unforeseen distributional shifts, including data corruptions and ...

Tohoku University researchers have created a deep learning-based method that significantly simplifies the precise identification and categorization of two-dimensional (2D) materials using Raman ...

Krupchytskyi: Deep learning networks are particularly good at analyzing large amounts of unstructured data, like images and text. It's widely used in chatbots, image recognition like that required for ...