Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for nonEuclidean data on graphs, which often require a large amount of labeled data with high cost. It it ...

Official implementation of Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation by Jun Hyeong Kim*, Seonghwan Kim*, Seokhyun Moon*, Hyeongwoo Kim*, Jeheon Woo*, Woo Youn Kim. [arXiv ...

Agentic AI is transforming cloud migration and modernization, enabling enterprises to accelerate processes, optimize costs, ...

XM Cyber is deepening its partnership with Google Cloud to offer enterprises more secure digital solutions. The collaboration brings together XM Cyber's continuous exposure management with Google ...

The perception of the Chinese armed forces as outdated and relying only on numerical superiority is a serious mistake, ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of ...

According to the patent abstract, the core of this system lies in extracting and aggregating high-dimensional features of employees and standard operating procedure (SOP) fragments to construct a ...

Beyond digital transformation (DX), the era of "AI Transformation (AX)"?where artificial intelligence (AI) becomes the core ...

The World Intelligent Industry Expo 2025 opened in Chongqing on September 5, focusing on the theme of "Artificial ...

Agile rituals are great, but without tracking constraints and dependencies live, your transformation will stall.