In this paper, we propose a novel hierarchical traffic data cognitive modelling framework called Multi-Scale Spatio-Temporal Dynamic Graph Convolutional Network architecture (MSST-DGCN). And, a ...

Despite sanctions, Chinese companies are forging ahead with AI. The Huawei AI stack is optimised to run on the CloudMatrix ...

Abstract: Graph convolutional network (GCN) has garnered significant attention in hyperspectral image (HSI) classification due to their ability to model non-Euclidean structured data. Compared with ...

Convolutional ... such as image classification, object detection, and image segmentation. The use of ConvNets in visual recognition is inarguably one of the biggest inventions of decade 2010s in deep ...

Nvidia's GB10 and GB300 chips power a new class of PCs that will redefine how professionals work with AI. But that's just the ...

FLUX.1 Kontext from Black Forest Labs aims to let users edit images multiple times through both text and reference images without losing speed.

Gemini Diffusion is also useful for tasks such as refactoring code, adding new features to applications, or converting an existing codebase to a different language.

MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the ...