10 Important AI Research Papers These papers provide a breadth of information about Artificial intelligence (AI − the simulation of human intelligence processes by machines, especially computer systems) that is generally useful and interesting from a computer science perspective. Contents 1. A Computational Approach to Edge Detection 2. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence 3. A Threshold Selection Method from Gray-Level Histograms 4. Deep Residual Learning for Image Recognition 5. Distinctive Image Features from Scale-Invariant Keypoints 6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 7. Large-scale Video Classification with Convolutional Neural Networks 8. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference 9. Dropout: A Simple Way to Prevent Neural Networks from Overfitting 10. Induction of Decision Trees