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dc.contributor.authorTan, Cheston
dc.contributor.authorLeibo, Joel Z.
dc.contributor.authorPoggio, Tomaso
dc.date.accessioned2016-02-28T06:34:31Z
dc.date.available2016-02-28T06:34:31Z
dc.date.issued2013
dc.identifier.citationTan C, Leibo JZ, Poggio T (2013) Throwing Down the Visual Intelligence Gauntlet. Studies in Computational Intelligence: 1–15. Available: http://dx.doi.org/10.1007/978-3-642-28661-2_1.
dc.identifier.issn1860-949X
dc.identifier.issn1860-9503
dc.identifier.doi10.1007/978-3-642-28661-2_1
dc.identifier.urihttp://hdl.handle.net/10754/600022
dc.description.abstractIn recent years, scientific and technological advances have produced artificial systems that have matched or surpassed human capabilities in narrow domains such as face detection and optical character recognition. However, the problem of producing truly intelligent machines still remains far from being solved. In this chapter, we first describe some of these recent advances, and then review one approach to moving beyond these limited successes – the neuromorphic approach of studying and reverse-engineering the networks of neurons in the human brain (specifically, the visual system). Finally, we discuss several possible future directions in the quest for visual intelligence.
dc.description.sponsorshipThis report describes research done at the Center for Biological & Computational Learning, which is in the McGovern Institute for Brain Research at MIT, as well as in the Dept. of Brain & Cognitive Sciences, and which is affiliated with the Computer Sciences & Artificial Intelligence Laboratory (CSAIL). This research was sponsored by grants from DARPA (IPTO and DSO), National Science Foundation (NSF-0640097, NSF-0827427), AFSOR-THRL (FA8650-05-C-7262). Additional support was provided by: Adobe, Honda Research Institute USA, King Abdullah University of Science and Technology grant to B. DeVore, NEC, Sony and especially by the Eugene McDermott Foundation.
dc.publisherSpringer Nature
dc.titleThrowing Down the Visual Intelligence Gauntlet
dc.typeBook Chapter
dc.identifier.journalStudies in Computational Intelligence
dc.contributor.institutionMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, UK


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