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==Visual intelligence== |
==Visual intelligence== |
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| − | Visual intelligence is the ability for AGI to gain high-level understanding from digital images or videos, if outfitted with [[ |
+ | Visual intelligence is the ability for AGI to gain high-level understanding from digital images or videos, if outfitted with [[computer vision]]. |
[[File:Visual_intelligence.png|thumb|500px|[[Joshua Tenenbaum]]'s presentation for the ''architecture of visual intelligence'' in [[Artificial General Intelligence]] (AGI).]] |
[[File:Visual_intelligence.png|thumb|500px|[[Joshua Tenenbaum]]'s presentation for the ''architecture of visual intelligence'' in [[Artificial General Intelligence]] (AGI).]] |
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Latest revision as of 16:43, 3 April 2018
Pattern recognition is a branch of machine learning where an AGI has either built-in protocols to recognize patterns and regularities in data, or relies on deep learning to develop its own algorithms to recognize and interpret patterns.
Visual intelligence
Visual intelligence is the ability for AGI to gain high-level understanding from digital images or videos, if outfitted with computer vision.
Joshua Tenenbaum's presentation for the architecture of visual intelligence in Artificial General Intelligence (AGI).