Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

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This is the code for DCT, a data-centric transfer learning framework with diffusion model on graphs. This data-centric approach avoids the inappropriate designs of hand-crafted self-supervised tasks ...

Icinga Web Module for Performance Data Graphs. This module enables graphs on the Host and Service Detail View for the respective performance data. The data is fetched by a "backend module", at least ...

Graph-based methods have demonstrated exceptional performance in semi-supervised classification. However, existing graph-based methods typically construct either a predefined graph in the original ...