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Divisive normalization is not just a biological curiosity; it鈥檚 essential for stabilizing continuous working memory in neural networks, preventing the fragmentation that plagues traditional architectures.
A breast pathology foundation model, BRIGHT, beats generalist models at specialist tasks, suggesting organ-specific pretraining is a scalable path to expert-level performance.
