1988: Learning to Predict by the Methods of Temporal Differences Introduction In 1988, Richard Sutton published a paper in Machine Learning that introduced temporal-difference (TD) learning, fundamentally changing how machines learn to make predictions about future...
2019: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Introduction In 2019, researchers Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova from Google AI Language published "BERT: Pre-training of Deep Bidirectional Transformers for Language...
2016: Mastering the Game of Go with Deep Neural Networks and Tree Search Introduction In 2016, researchers at DeepMind published "Mastering the Game of Go with Deep Neural Networks and Tree Search" introducing AlphaGo - the first artificial intelligence system to defeat a ...
2014: Generative Adversarial Nets Introduction In 2014, Ian Goodfellow and his team at the University of Montreal introduced Generative Adversarial Networks (GANs) in their paper "Generative Adversarial Nets." This framework fundament...
2012: ImageNet Classification with Deep Convolutional Neural Networks Introduction In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton published "ImageNet Classification with Deep Convolutional Neural Networks" introducing AlexNet to the world. This research p...
1997:Long Short-Term Memory Introduction In 1997, Sepp Hochreiter and Jürgen Schmidhuber published "Long Short-Term Memory" in Neural Computation, introducing a revolutionary architecture that would dominate sequence learning fo...
1988: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference Introduction In 1988, Judea Pearl published "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference," revolutionising how artificial intelligence systems handle uncertainty an...
1986:Learning Representations by Back-propagating Errors Introduction In 1986, David Rumelhart from UC San Diego, Geoffrey Hinton from Carnegie Mellon, and Ronald Williams published "Learning Representations by Back-propagating Errors" in Nature. This paper...
1963: Machine Perception of Three-Dimensional Solids Introduction Lawrence Roberts' 1963 PhD thesis "Machine Perception of Three-Dimensional Solids" at MIT established computer vision as a scientific discipline, introducing the first systematic approach...
1958: The Perceptron: A Probabilistic Model for Information Storage and Organisation in The Brain Introduction In 1958, psychologist Frank Rosenblatt at Cornell Aeronautical Laboratory published "The Perceptron: A Probabilistic Model for Information Storage and Organization in The Brain" in Psycho...
1955: Dartmouth Workshop Proposal Introduction On August 31, 1955, four visionary scientists submitted a proposal to the Rockefeller Foundation that would change the course of computing forever. John McCarthy from Dartmouth College, M...
1950: Computing Machinery and Intelligence Introduction In 1950, mathematician and computer scientist Alan Turing published "Computing Machinery and Intelligence" in Mind journal, which was the first to introduce his concept of what is now kno...