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Transforming Complexity: From AI Geometry to Neural Insights
This chapter explores the use of sparse autoencoders to simplify complex high-dimensional data, drawing parallels to understanding brain states. It also highlights advancements in brain imaging that enable the reconstruction of viewed images based on neural activity, showcasing exciting possibilities in AI and neuroscience.