Published January 5, 2018
| Version v1
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Deep learning brings speed, accuracy to the life sciences.
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John H. Tibbetts (2018): Deep learning brings speed, accuracy to the life sciences. BioScience 68: 5 - 10, DOI: 10.1093/biosci/bix136
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- LSID
- urn:lsid:plazi.org:pub:23330F48FF83FF9FFFC2A91E9309FFEE
- URL
- http://publication.plazi.org/id/23330F48FF83FF9FFFC2A91E9309FFEE
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- Figure: 10.5281/zenodo.1147203 (DOI)
- Figure: 10.5281/zenodo.1147205 (DOI)
- Figure: 10.5281/zenodo.1147207 (DOI)
- Figure: 10.5281/zenodo.1147209 (DOI)
References
- Bughin J, Hazan E, Ramaswamy S, Chui M, Allas T, Dahlstrom P, Henke N, Trench M. 2017. Artificial Intelligence: The Next Digital Frontier? McKinsey Global Institute (27 October 2017; www.mckinsey.com/~/media/mckinsey/industries/advanced%20 electronics/our%20insights/how%20artificial%20intelligence%20can%20deliver%20 real%20value%20to%20companies/mgi-artificial-intelligence-discussion-paper.ashx)
- Carranza-Rojas J, Goeau H, Bonnet P, Mata-Montero E, Joly A. 2017. Going deeper in the automated identification of herbarium specimens. BMC Evolutionary Biology 17 (art. 181).
- Dormehl L. 2017. Thinking Machines: The Quest for Artificial Intelligence and Where It's Taking Us Next. TarcherPerigee.
- Lewis-Krause G. 2016. The great AI awakening. New York Times Magazine. (27 October 2017; www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html)
- Manyika J, Chui M, Lund S, Ramaswamy S. 2017. What's Now and Next in AI, Analytics, and Automation. McKinsey Global Institute. (27 October 2017; www.mckinsey.com/ global-themes/digital-disruption/whats-now-and-next-in-analytics-ai-and-automation) region and then applying transfer learning to train the algorithm on a smaller Costa Rican herbaria database. Although the Mediterranean and Costa Rican species are different, the model identified Costa Rican species with 80 percent accuracy.