ANN or CNN have near or better able to detect objects, 2019. That is 99. 98 percent of humans.
They are called black boxes because no one has a math formal to explain how they do it so well. These balk boxes are trained on massive amounts of data. All had crafted formula and equations, that came before the age of ANN, only did 50 percent of humans at detecting a object. The internal logic of black box is amplification, and de amplification of a inputted signal and logically "adding" them together to get and output. One big black box and be trained to detect thousand of objects. Small black boxes can detect few objects. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T395236743964cb4b-Mfcc0fda3fed7d3ca3d7ce6da Delivery options: https://agi.topicbox.com/groups/agi/subscription
