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Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
Explores the intersection between transhumanism and religion, discussing the evolution of the transhumanist movement and its potential as a secular religion.
Explores human behaviors and adaptations for survival, including food preferences, fear responses, and the evolutionary perspective on morning sickness.
Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.