Perspectives for self-driving labs in synthetic biology
Perspectives for self-driving labs in synthetic biology
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Author / Creator
Hector Garcia Martin , Radivojevic, Tijana , Zucker, Jeremy , Bouchard, Kristofer , Sustarich, Jess , Peisert, Sean , Arnold, Dan , Hillson, Nathan , Babnigg, Gyorgy , Marti, Jose Manuel , Mungall, Christopher J , Beckham, Gregg T , Waldburger, Lucas , Carothers, James , Sundaram, ShivShankar , Agarwal, Deb , Simmons, Blake A , Backman, Tyler , Banerjee, Deepanwita , Tanjore, Deepti , Ramakrishnan, Lavanya and Singh, Anup
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is probed, interpreted, and explained by machines for human benefit. While there are functioning SDLs in...
Alternative Titles
Full title
Perspectives for self-driving labs in synthetic biology
Authors, Artists and Contributors
Author / Creator
Radivojevic, Tijana
Zucker, Jeremy
Bouchard, Kristofer
Sustarich, Jess
Peisert, Sean
Arnold, Dan
Hillson, Nathan
Babnigg, Gyorgy
Marti, Jose Manuel
Mungall, Christopher J
Beckham, Gregg T
Waldburger, Lucas
Carothers, James
Sundaram, ShivShankar
Agarwal, Deb
Simmons, Blake A
Backman, Tyler
Banerjee, Deepanwita
Tanjore, Deepti
Ramakrishnan, Lavanya
Singh, Anup
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2725723531
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2725723531
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E-ISSN
2331-8422