Artificial Intelligence for Synthetic Biology: Opportunities and Challenges
Author(s)
Eslami, Mohammed
Adler, Aaron
Caceres, Rajmonda
Dunn, Joshua
Kelley Loughnane, Nancy
Varaljay, Vanessa
Garc?a Mart?n, H?ctor
Date Issued
April 25, 2022
Publisher
ACM|Communications of the ACM
Citation
Eslami, Mohammed, Adler, Aaron, Caceres, Rajmonda, Dunn, Joshua, Kelley Loughnane, Nancy et al. 2022. "Artificial Intelligence for Synthetic Biology: Opportunities and Challenges."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3500922
