Abstract: Whereas the literature describes an increasing number of graph algorithms, loading graphs remains a time-consuming component of the end-to-end execution time. Graph frameworks often rely on ...

Abstract: Merge trees are fundamental topological descriptors with broad theoretical and practical significance, yet their computation, particularly for augmented merge trees, incurs substantial ...

Text-rich graphs integrate complex structural dependencies with abundant textual information. Conventional methods compress text into static embeddings before structural reasoning, creating an ...

GitHub’s /fleet command lets Copilot CLI break coding work into parallel subagents, but the real va… AI coding tools are entering a second phase. The first phase was about whether one model could help ...

Vision-language models (VLMs) have made significant strides in open-vocabulary recognition by aligning visual inputs with textual representations. However, most existing approaches treat categories as ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in ...