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Resources
McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5(4), 115-133.
Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460.
Dartmouth Conference N/A (Conference Proposal)
McCarthy, J. (1960). Recursive functions of symbolic expressions and their computation by machine, Part I. Communications of the ACM, 3(4), 184-195.
Weizenbaum, J. (1966). ELIZA - A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45.
Winograd, T. (1972). Understanding natural language. Cognitive Psychology, 3(1), 1-191.
A., & Kanoui, H. (1972). Un système de communication homme-machine en français (in French). Technical report, Université Aix-Marseille II, France.
J. (1973). Artificial Intelligence: A General Survey. Artificial Intelligence: A Paper Symposium. Science Research Council, United Kingdom.
Moravec, H. P. (1980). Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover. Technical report, Stanford University.
Buchanan, B. G., & Shortliffe, E. H. (Eds.). (1984). Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley.
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533-536.
Campbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1-2), 57-83.
Fujita, M., & Kitano, H. (1998). Development of an Autonomous Quadruped Robot for Robot Entertainment. Autonomous Robots, 5(1), 7-18.
Thrun, S., Montemerlo, M., Dahlkamp, H., et al. (2006). Stanley: The robot that won the DARPA Grand Challenge. Journal of Field Robotics, 23(9), 661-692.
ImageNet dataset Deng, J., Dong, W., Socher,
Ferrucci, D., Brown, E., Chu-Carroll, J., et al. (2010). Building Watson: An Overview of the DeepQA Project. AI Magazine, 31(3), 59-79.
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NIPS 2012, 1097-1105.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., et al. (2014). Generative Adversarial Networks. NIPS 2014, 2672-2680.
Silver, D., Huang, A., Maddison, C. J., et al. (2016). Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature, 529(7587), 484-489.
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep Residual Learning for Image Recognition. CVPR 2016, 770-778.
Van den Oord, A., Dieleman, S., Zen, H., et al. (2016). WaveNet: A Generative Model for Raw Audio. arXiv preprint arXiv:1609.03499.
Wu, Y., Schuster, M., Chen, Z., et al. (2016). Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. arXiv preprint arXiv:1609.08144.
Sabour, S., Frosst, N., & Hinton, G. E. (2017). Dynamic Routing Between Capsules. NIPS 2017, 3856-3866.
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805.
Radford, A., Wu, J., Child, R., et al. (2019). Language Models are Unsupervised Multitask Learners. OpenAI
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