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The Abel prizewinner’s pragmatic approach to solving differential equations was influential across fields ranging from weather forecasting to starting nuclear chain reactions.
The condensed-matter physicist also turned his attention to neural networks, improving our understanding of the human brain and helping to develop machine learning.