See LionPATH to schedule.
This is a reading-group style course in which we will review the most influential developments in AI over the past 30 years. Each week, we will read 1-3 important AI research papers and discuss their findings, insights, implications, and connections to frontier AI. Expected topics include (in no particular order) LSTMs, Word2Vec, Deep Blue, AlexNet, AlphaGo, AlphaZero, MuZero, Alphafold, knowledge distillation, ResNets, Attention / Transformers / ViTs, DQNs, GPT models, BERT, CLIP, Scaling Laws, etc. We may draw from Ilya Sutskever's famous "Top 30 Reading List".
