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Nonlinear dynamical systems

Deep learning at the forefront of detecting tipping points

A deep learning-based method shows promise in issuing early warnings of rate-induced tipping, of particular interest in anticipating effects due to anthropogenic climate change.

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Fig. 1: Visualization of the workflow in detecting R-tipping from pre-transition time series data deploying interpretable deep learning.

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Correspondence to Partha Sharathi Dutta.

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Deb, S., Dutta, P.S. Deep learning at the forefront of detecting tipping points. Nat Mach Intell 6, 1433–1434 (2024). https://doi.org/10.1038/s42256-024-00957-w

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