dc.contributor.advisor | Tomaso Poggio | |
dc.contributor.author | Tan, Cheston | en_US |
dc.contributor.author | Leibo, Joel Z | en_US |
dc.contributor.author | Poggio, Tomaso | en_US |
dc.contributor.other | Center for Biological and Computational Learning (CBCL) | en_US |
dc.date.accessioned | 2012-06-21T19:45:06Z | |
dc.date.available | 2012-06-21T19:45:06Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/71199 | |
dc.description.abstract | In 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. | en_US |
dc.description.sponsorship | 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 Science and Technology grant to B. DeVore, NEC, Sony and especially by the Eugene McDermott Foundation. | en_US |
dc.format.extent | 15 p. | en_US |
dc.relation.ispartofseries | MIT-CSAIL-TR-2012-016 | |
dc.relation.ispartofseries | CBCL-309 | |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject | Vision | en_US |
dc.subject | Artificial intelligence | en_US |
dc.title | Throwing Down the Visual Intelligence Gauntlet | en_US |
dc.identifier.citation | Machine Learning for Computer Vision (2012); eds: Cipolla R, Battiato S, Giovanni Maria F. Springer: Studies in Computational Intelligence Vol. 411. | en_US |
dc.language.rfc3066 | en-US | |