The AI Research Atlas – Interactive semantic mapping of AI research papers

Summary: The AI Research Atlas provides a live, daily-updating semantic map of AI research papers from arXiv's cs.AI category, enriched with additional data and visualized as an interactive 2D scatter plot to help users explore and identify relevant work efficiently.

What it does

It fetches, embeds, and groups AI research papers using SPECTER and Haiku taxonomy, integrates Semantic Scholar TLDRs, citation data, and author h-indices, then displays them in scatterplot and grid formats for easy navigation.

Who it's for

Researchers and practitioners seeking to stay current with AI research and identify significant papers without sifting through extensive listings.

Why it matters

It streamlines discovery of relevant AI research by organizing and filtering papers based on semantic similarity, citations, and author metrics.