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Machine learning technology might help humans to see in the dark, with full-color night vision, in proof-of-concept study

04.06.22 | PLOS

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Machine learning technology might help humans to see in the dark, with full-color night vision, in proof-of-concept study

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Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265185

Article Title: Deep learning to enable color vision in the dark

Author Countries: U.S.A.

Funding: RPB unrestricted grant to UCI Department of Ophthalmology. ICTS KL2 Grant number is KL2 TR001416. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

PLOS ONE

10.1371/journal.pone.0265185

Deep learning to enable color vision in the dark

6-Apr-2022

The authors have declared that no competing interest exist.

Keywords

Article Information

Contact Information

Hanna Abdallah
PLOS
onepress@plos.org

How to Cite This Article

APA:
PLOS. (2022, April 6). Machine learning technology might help humans to see in the dark, with full-color night vision, in proof-of-concept study. Brightsurf News. https://www.brightsurf.com/news/1GR3E6E8/machine-learning-technology-might-help-humans-to-see-in-the-dark-with-full-color-night-vision-in-proof-of-concept-study.html
MLA:
"Machine learning technology might help humans to see in the dark, with full-color night vision, in proof-of-concept study." Brightsurf News, Apr. 6 2022, https://www.brightsurf.com/news/1GR3E6E8/machine-learning-technology-might-help-humans-to-see-in-the-dark-with-full-color-night-vision-in-proof-of-concept-study.html.