As of: 2026-10-10 14:45 CEST. Researched and written by AI agents (Claude Opus 5.5 in Claude Code). Human editor: Adam Bicz. Canonical page: https://postcutoff.com/news/research/2/ # AI news: Research, page 2 63 events in Research of 1,105 in the log, newest first. Page 2 of 2, 50 events per page, grouped by the day each event happened. ## Wednesday 10 September 2014 - [Sequence-to-sequence learning and neural attention](https://postcutoff.com/e/2014-09-10-seq2seq-attention/) (Research; Google, Université de Montréal; major). Established the encoder–decoder paradigm and attention — the direct precursors of the Transformer and modern LLMs. Source: https://arxiv.org/abs/1409.3215 ## Tuesday 10 June 2014 - [Ian Goodfellow introduces Generative Adversarial Networks (GANs)](https://postcutoff.com/e/2014-06-10-generative-adversarial-networks/) (Research; Université de Montréal; major). The first generative approach to produce convincingly realistic images, it opened the modern era of AI media generation. Source: https://arxiv.org/abs/1406.2661 ## Thursday 19 December 2013 - [DeepMind's DQN learns to play Atari games from pixels](https://postcutoff.com/e/2013-12-19-dqn-atari/) (Research; DeepMind; major). Launched deep reinforcement learning as a field and put DeepMind on the path to AlphaGo. Source: https://arxiv.org/abs/1312.5602 ## Wednesday 16 January 2013 - [word2vec: efficient word embeddings from Google](https://postcutoff.com/e/2013-01-16-word2vec/) (Research; Google; major). Popularized learned embeddings, a core building block of all subsequent NLP including Transformers and LLMs. Source: https://arxiv.org/abs/1301.3781 ## Sunday 30 September 2012 - [AlexNet wins ImageNet challenge, igniting the deep learning boom](https://postcutoff.com/e/2012-09-30-alexnet/) (Research; University of Toronto; historic). The single event most often cited as the start of the modern AI era: it established GPUs + big data + deep nets as the winning recipe and made NVIDIA central to AI. Source: https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html ## July 2006, day not recorded - [Hinton's deep belief nets launch the 'deep learning' revival](https://postcutoff.com/e/2006-07-01-deep-belief-networks/) (Research; University of Toronto; major). It rebranded neural networks as 'deep learning' and set the stage for the GPU-powered breakthroughs of 2009–2012. Source: https://doi.org/10.1162/neco.2006.18.7.1527 ## November 1997, day not recorded - [Hochreiter & Schmidhuber introduce Long Short-Term Memory (LSTM)](https://postcutoff.com/e/1997-11-15-lstm/) (Research; TU Munich, IDSIA; major). LSTMs dominated sequence modeling (speech, translation, handwriting) until the Transformer, and underpinned early seq2seq systems like Google Translate's 2016 neural system. Source: https://doi.org/10.1162/neco.1997.9.8.1735 ## 1989, date not recorded - [LeCun applies backprop-trained convolutional nets to handwritten digits](https://postcutoff.com/e/1989-12-01-lecun-convolutional-networks/) (Research; AT&T Bell Labs; major). Convolutional networks became the backbone of computer vision and the architecture that triggered the deep learning revolution in 2012. Source: https://doi.org/10.1162/neco.1989.1.4.541 ## Thursday 9 October 1986 - [Rumelhart, Hinton & Williams popularize backpropagation](https://postcutoff.com/e/1986-10-09-backpropagation/) (Research; UC San Diego, Carnegie Mellon University; historic). Backpropagation is still how essentially all neural networks, including today's LLMs, are trained. Source: https://doi.org/10.1038/323533a0 ## January 1966, day not recorded - [ELIZA, the first chatbot, published by Joseph Weizenbaum](https://postcutoff.com/e/1966-01-01-eliza/) (Research; MIT; major). The first chatbot, and the first vivid demonstration that humans readily anthropomorphize conversational software — a lesson that became central again with ChatGPT. Source: https://doi.org/10.1145/365153.365168 ## July 1958, day not recorded - [Frank Rosenblatt's Perceptron, the first trainable neural network](https://postcutoff.com/e/1958-07-01-perceptron/) (Research; Cornell Aeronautical Laboratory, US Office of Naval Research; historic). It was the first learning neural network and the direct ancestor of modern deep learning; the hype and later backlash around it foreshadowed later AI boom-bust cycles. Source: https://doi.org/10.1037/h0042519 ## October 1950, day not recorded - [Alan Turing proposes the 'imitation game' (Turing test)](https://postcutoff.com/e/1950-10-01-turing-computing-machinery-intelligence/) (Research; University of Manchester; historic). The Turing test became the most famous benchmark in AI's popular imagination and framed debates about machine intelligence for 70+ years; LLMs revived the debate in the 2020s. Source: https://doi.org/10.1093/mind/LIX.236.433 ## December 1943, day not recorded - [McCulloch & Pitts publish the first mathematical model of a neural network](https://postcutoff.com/e/1943-12-01-mcculloch-pitts-neuron/) (Research; University of Illinois, University of Chicago; historic). It is the conceptual ancestor of every neural network used today, linking brain science, logic and computation. 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