Throwing Down the Visual Intelligence Gauntlet
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 be...
| Main Authors: | , , |
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| Other Authors: | |
| Language: | en-US |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/1721.1/71199 |
| _version_ | 1811078746255392768 |
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| author | Tan, Cheston Leibo, Joel Z Poggio, Tomaso |
| author2 | Tomaso Poggio |
| author_facet | Tomaso Poggio Tan, Cheston Leibo, Joel Z Poggio, Tomaso |
| author_sort | Tan, Cheston |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:04:52Z |
| id | mit-1721.1/71199 |
| institution | Massachusetts Institute of Technology |
| language | en-US |
| last_indexed | 2024-09-23T11:04:52Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | mit-1721.1/711992019-04-12T15:40:54Z Throwing Down the Visual Intelligence Gauntlet Tan, Cheston Leibo, Joel Z Poggio, Tomaso Tomaso Poggio Center for Biological and Computational Learning (CBCL) Vision Artificial intelligence 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. 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. 2012-06-21T19:45:06Z 2012-06-21T19:45:06Z 2012 http://hdl.handle.net/1721.1/71199 Machine Learning for Computer Vision (2012); eds: Cipolla R, Battiato S, Giovanni Maria F. Springer: Studies in Computational Intelligence Vol. 411. en-US MIT-CSAIL-TR-2012-016 CBCL-309 Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported http://creativecommons.org/licenses/by-nc-nd/3.0/ 15 p. application/pdf |
| spellingShingle | Vision Artificial intelligence Tan, Cheston Leibo, Joel Z Poggio, Tomaso Throwing Down the Visual Intelligence Gauntlet |
| title | Throwing Down the Visual Intelligence Gauntlet |
| title_full | Throwing Down the Visual Intelligence Gauntlet |
| title_fullStr | Throwing Down the Visual Intelligence Gauntlet |
| title_full_unstemmed | Throwing Down the Visual Intelligence Gauntlet |
| title_short | Throwing Down the Visual Intelligence Gauntlet |
| title_sort | throwing down the visual intelligence gauntlet |
| topic | Vision Artificial intelligence |
| url | http://hdl.handle.net/1721.1/71199 |
| work_keys_str_mv | AT tancheston throwingdownthevisualintelligencegauntlet AT leibojoelz throwingdownthevisualintelligencegauntlet AT poggiotomaso throwingdownthevisualintelligencegauntlet |