In-sensor computing for machine vision

Yang Chai ()

Nature, 2020, vol. 579, issue 7797, 32-33

Abstract: An image-sensor array has been developed that acts as its own artificial neural network to capture and identify optical images simultaneously, processing the information rapidly without needing to convert it to a digital format.

Keywords: Applied physics; Optics and photonics; Technology; Engineering (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.nature.com/articles/d41586-020-00592-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:579:y:2020:i:7797:d:10.1038_d41586-020-00592-6

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-020-00592-6

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().