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Task-structured modularity emerges in artificial networks and aligns with brain architecture

Nature Machine Intelligence, Published online: 28 September 2026; doi:10.1038/s42256-026-01306-9

Wu et al. show that neural networks learning multiple tasks organize into specialized modules, particularly under capacity constraints. Incremental multitask learning strengthens this modularity and produces architectures resembling brain networks.
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