AI Reading List
A selected set of resources for learning more about artificial intelligence.
Artificial Neurons (1943)
A Logical Calculus of the Ideas Immanent in Nervous Activity (McCulloch, Pitts; 1943)
Perceptrons (1957)
The Perceptron: A Perceiving and Recognizing Automaton (Rosenblatt; 1957)
Backpropagation (1986)
Backpropagation and Multi-Layered Neural Networks (Rumelhart; 1986)
CNNs and Image Recognition (1998)
Gradient-Based Learning Applied to Document Recognition (LeCun; 1998)
Reinforcement Learning (2013)
Playing Atari with Deep Reinforcement Learning (Mnih; 2013)
Encoder-Decoder Architectures (2014)
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (Cho; 2014)
Generative Adversarial Networks (GANs) (2014)
Generative Adversarial Nets (Goodfellow; 2014)
Transformers (2017)
Attention Is All You Need (Vaswani; 2017)
Agents (2025)
Agents (Huyen; 2025)