The AI Research Atlas

Embedding Atlas offers a dynamic, semantic map for navigating theoretical research. This platform provides: * Daily updates from arXiv's cs.AI category * Semantic embedding and grouping of research papers * Interactive 2D scatter plot visualization * Exploration of emerging research themes * Discovery of related academic work Daily updates ensure you have the freshest view of the research landscape. Papers are fetched, processed, and categorized to create an intuitive and explorable map. This advanced processing makes complex relationships within the data immediately visible. The interactive 2D scatter plot displays research clusters and individual papers, allowing for granular exploration. Users can zoom, pan, and click on points to get more details, making it simple to detect trends and understand the broader context of various topics. Ideal for researchers, academics, and industry professionals who need to stay informed about theoretical advancements. Use it to identify key contributors, track the evolution of concepts, and find collaborators by understanding the connections within the research community.