Neural network (machine learning)
Geoffrey Hinton and others
Geoffrey Hinton and colleagues established core methods—backpropagation for representation learning, and Boltzmann machines for unsupervised deep generative modelling—between 1985 and 1995. Their work was grounded in statistical mechanics, experimentally verified on small-scale networks, and explicitly recognised as foundational for machine learning with artificial neural networks. It did not deliver production AI, nor claim to.