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Exploring the Intersection of Pathology and Space Exploration with AI
Thomas Fuchs shares insights from his work in pathology and space exploration, discussing how machine learning is applied from a microscopic level in pathology to a macroscopic level in space. The chapter also covers challenges in training models for real-time navigation on Rovers, the need for radiation-hardened machines in space, and the use of specialized hardware like FPGAs and A6s.