Computer vision: Easy on the eyes.
In the current issue of the Proceedings of the National Academy of Sciences, Dr. Thomas Serre describes how he and his colleagues at the Massachusetts Institute of Technology have built a computer that can recognize classes of things as accurately as a person can. Although computers are very good a...
| Publicado en: | Economist Vol. 383; pp. 77 - 79 |
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| Formato: | Artículo |
| Publicado: |
Economist Newspaper Limited
April 7 2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507971267&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507971267 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: April 7 2007 vid: 383 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 507971267 ppf: 77 ppct: 2 formats: tig: atl: Computer vision: Easy on the eyes. aug: su: Optical computing sug: subj: Optical computing ab: In the current issue of the Proceedings of the National Academy of Sciences, Dr. Thomas Serre describes how he and his colleagues at the Massachusetts Institute of Technology have built a computer that can recognize classes of things as accurately as a person can. Although computers are very good at solving specific problems, they have difficulty when it comes to working in a general way, for example in recognizing broad categories of images. However, Dr. Serre's computer, which is based on a model that closely imitates the functioning of the ventral visual pathway in the human brain, has proved the equal of human volunteers in distinguishing photographs containing animals from those without. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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