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Stanford Online· 6 nov 2026How particle filter SLAM separates a robot’s path from its mapMarco Pavone · Stanford UniversityMarco Pavone derives the conditional independence that makes a particle-based mapping algorithm practical.
1:47:01ENStanford Online· 5 nov 2026How LLM systems fit large models into hardware and serve them fasterAfshine Amidi, Shervine Amidi · Stanford UniversityAfshine and Shervine Amidi explain FlashAttention, distributed training and inference optimizations from memory movement to speculative decoding.
1:11:12ENStanford Online· 4 nov 2026Dynamic programming for decisions under uncertaintyMarco Pavone · Stanford UniversityMarco Pavone builds from the principle of optimality to Markov decision processes and explains why exact solutions become expensive.