Poole, William (2022) In vitro convolutional neural networks. Nature Machine Intelligence, 4 (7). pp. 614-615. ISSN 2522-5839. doi:10.1038/s42256-022-00508-1. https://resolver.caltech.edu/CaltechAUTHORS:20220711-652588000
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Abstract
Neural networks can be implemented by using purified DNA molecules that interact in a test tube. Convolutional neural networks to classify high-dimensional data have now been realized in vitro, in one of the most complex demonstrations of molecular programming so far.
| Item Type: | Article | |||||||||
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| Additional Information: | © 2022 Springer Nature Limited. Published 11 July 2022. The author declares no competing interests. | |||||||||
| Issue or Number: | 7 | |||||||||
| DOI: | 10.1038/s42256-022-00508-1 | |||||||||
| Record Number: | CaltechAUTHORS:20220711-652588000 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20220711-652588000 | |||||||||
| Official Citation: | Poole, W. In vitro convolutional neural networks. Nat Mach Intell 4, 614–615 (2022). https://doi.org/10.1038/s42256-022-00508-1 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 115459 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | George Porter | |||||||||
| Deposited On: | 12 Jul 2022 15:42 | |||||||||
| Last Modified: | 29 Jul 2022 16:14 |
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