Geoffrey Hinton, co-author of the 1986 paper that brought the back-propagation neural network to the attention of the AI community, has said that the technique should now be jettisoned. “Back in 1986, we were all very excited about this new way of doing machine learning,” Hinton told The Verge. Hinton now suggests that that this is not how the human brain works, and that back-propagation needs to be replaced with "unsupervised" learning methods to move AI forward.
Geoffrey Hinton, co-author of the 1986 paper that brought the back-propagation neural network to the attention of the AI community, has said that the technique should now be jettisoned. Back-propogation uses labelled data to train a network, reweighting the calculations made by its artificial "neurons" repeatedly until the labels produced as outputs match the labels on the data used for the training inputs. Hinton now suggests that that this is not how the human brain works, and that back-propagation needs to be replaced with "unsupervised" learning methods to move AI forward.