Peer Review
Catalog entries using this tag (links open the entry card on its page):
Entries
AI Scientist
PUBMED_LINK
FULL NAME
The AI Scientist — Towards End-to-End Automation of AI Research
DESCRIPTION
The AI Scientist is the first fully autonomous AI system to generate a paper that passed peer review (ICLR 2025 ICBINB workshop). It creates research ideas, writes code, runs experiments, analyses data, writes manuscripts, and performs peer review — all end-to-end. Template-free mode uses agentic tree search for open-ended scientific exploration. An automated reviewer achieves balanced accuracy comparable to human reviewers (69%). Paper quality scales with foundation model capability and test-time compute.
URL
TITLE
Towards end-to-end automation of AI research.
Main citation
Lu C, Lu C, Lange RT, Yamada Y, Hu S, Foerster J, Ha D, Clune J. (2026) Towards end-to-end automation of AI research. Nature, 651(8107):914-919. doi:10.1038/s41586-026-10265-5. PMID 41882133
ABSTRACT
The automation of science is a long-standing ambition in artificial intelligence research. Although the community has made substantial progress in automating individual components of the scientific process, a system that autonomously navigates the entire research life cycle from conception to publication has remained out of reach. Here we present a pipeline for automating the entire scientific process end to end. We present The AI Scientist, which creates research ideas, writes code, runs experiments, plots and analyses data, writes the entire scientific manuscript, and performs its own peer review. Its ideas, execution and presentation are of sufficient quality that the manuscript generated by this AI system passed the first round of peer review for a workshop of a top-tier machine learning conference.
DOI
10.1038/s41586-026-10265-5