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| 1980 || Discovery || Neocognitron || [[wikipedia:Kunihiko Fukushima|Kunihiko Fukushima]] first publishes his work on the [[wikipedia:Neocognitron|Neocognitron]], a type of [[wikipedia:artificial neural network|artificial neural network]].<ref>{{cite journal|last1=Fukushima|first1=Kunihiko|title=Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern The Recognitron Unaffected by Shift in Position|journal=Biological Cybernetics|date=1980|volume=36|pages=193–202|url=http://www.cs.princeton.edu/courses/archive/spr08/cos598B/Readings/Fukushima1980.pdf|accessdate=5 June 2016|doi=10.1007/bf00344251}}</ref> [[wikipedia:Neocognitron|Neocognition]] later inspires [[wikipedia:convolutional neural networks|convolutional neural networks]].<ref>{{cite web|last1=Le Cun|first1=Yann|title=Deep Learning|url=http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.297.6176&rep=rep1&type=pdf|accessdate=5 June 2016}}</ref> " In 1980, Kunihika Fukushima proposed a hierarchical multilayered convolution neural network known as the neocognitron."<ref name="medium.comw"/>
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| 1980 || || || The {{w|Linde–Buzo–Gray algorithm}} is introduced by Yoseph Linde, Andrés Buzo and {{w|Robert M. Gray}}.<ref>{{Cite journal | last1 = Linde | first1 = Y. | last2 = Buzo | first2 = A. | last3 = Gray | first3 = R. | author3link = Robert M. Gray| title = An Algorithm for Vector Quantizer Design | doi = 10.1109/TCOM.1980.1094577 | journal = [[IEEE Transactions on Communications]] | volume = 28 | pages = 84–95 | year = 1980 | pmid = | pmc = | url = http://ieeexplore.ieee.org/xpls/abs_all.jsp?&arnumber=1094577}}</ref>
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| 1981 || || Explanation Based Learning || Gerald Dejong introduces Explanation Based Learning, where a computer algorithm analyses data and creates a general rule it can follow and discard unimportant data.<ref>{{cite web|last1=Marr|first1=Marr|title=A Short History of Machine Learning - Every Manager Should Read|url=http://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/#2a1a75f9323f|website=Forbes|accessdate=28 Sep 2016}}</ref> "Gerald Dejong introduces the concept of Explanation Based Learning (EBL), in which a computer analyses training data and creates a general rule it can follow by discarding unimportant data."<ref name="forbes.com"/>
