Published September 2023
| Version Published
Journal Article
Accelerating Scientific Discovery With AI-Aided Automation
Abstract
AI-aided design of experiments and observations, together with robotic instrumentation and automated learning from data, has the potential to transform science and propel it forward with unprecedented speed.
Copyright and License
© 2024 IEEE.
Acknowledgement
We thank the members of the National Academies study on Automated Research Workflows for their contributions to the report on which this perspective is based, Frances Arnold for her insights on directed evolution and its automation, and Sarah Reisman for helpful discussions on automated chemical synthesis. The National Academy of Science study on Automated Research Workflows was generously supported by Eric and Wendy Schmidt by recommendation of Schmidt Futures.
Additional details
Identifiers
- ISSN
- 1558-366X
Funding
- Schmidt Family Foundation