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Artificial Intelligence for Synthetic Biology: Opportunities and Challenges

dc.contributor.authorEslami, Mohammed
dc.contributor.authorAdler, Aaron
dc.contributor.authorCaceres, Rajmonda
dc.contributor.authorDunn, Joshua
dc.contributor.authorKelley Loughnane, Nancy
dc.contributor.authorVaraljay, Vanessa
dc.contributor.authorGarc?a Mart?n, H?ctor
dc.date.accessioned2022-11-14T19:29:58Z
dc.date.available2022-11-14T19:29:58Z
dc.date.issued2022-04-25
dc.identifier.issn0001-0782
dc.identifier.urihttps://hdl.handle.net/1721.1/146407
dc.publisherACM|Communications of the ACMen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/3500922en_US
dc.rightsArticle 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.en_US
dc.sourceACM|Communications of the ACMen_US
dc.titleArtificial Intelligence for Synthetic Biology: Opportunities and Challengesen_US
dc.typeArticleen_US
dc.identifier.citationEslami, Mohammed, Adler, Aaron, Caceres, Rajmonda, Dunn, Joshua, Kelley Loughnane, Nancy et al. 2022. "Artificial Intelligence for Synthetic Biology: Opportunities and Challenges."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentLincoln Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-11-03T07:51:39Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-11-03T07:51:39Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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