Towards end-to-end automation of AI research
University of British Columbia · University of Oxford · +2 more institutions
Abstract
Abstract The automation of science is a long-standing ambition in artificial intelligence (AI) research 1,2 . 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…
Citation impact
- FWCI
- 407.78
- Percentile
- 100%
- References
- 37
Authors
8Topics & keywords
- Process (computing)
- Automation
- Presentation (obstetrics)
- Pipeline (software)
- Quality (philosophy)
- Workflow
- Mode (computer interface)
- Flexibility (engineering)
- Responsible consumption and production