Paper2Agent Converts Research Papers into Interactive AI Assistants
A new AI system called Paper2Agent transforms static research papers into interactive agents that can answer questions and apply methods to new data. Developed by Stanford University researchers, the tool packages a paper’s text, code, and datasets onto a server, allowing scientists to query the work in plain language. In tests, the system created an agent for the AlphaGenome paper in 45 minutes for a cost of $14, outperforming other biomedical AI tools. The technology aims to make scientific knowledge more accessible and reproducible across disciplines.
