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Tag: Physics-Based Models

  • AI-Powered Wave Forecasting: Enhancing Maritime Safety and Coastal Resilience with LLMs
    Artificial Intelligence

    AI-Powered Wave Forecasting: Enhancing Maritime Safety and Coastal Resilience with LLMs

    by Quantum NewsApril 24, 2025
  • AI and Cloud Computing Revolutionize Materials Discovery, Predict Half a Million Stable Materials in 80 Hours
    Artificial Intelligence

    AI and Cloud Computing Revolutionize Materials Discovery, Predict Half a Million Stable Materials in 80 Hours

    by Quantum NewsJanuary 29, 2024
  • Large-scale machine-learning methods have shown a surprising ability to forecast chaotic systems beyond typical predictability horizons. These methods, such as transformers or recurrent neural networks, outperform specialised methods grounded in dynamical systems theory, like reservoir computers or neural ordinary differential equations, especially when there is a lot of data available. However, in data-limited settings, physics-based hybrid methods retain an advantage due to their strong inductive biases. The study, conducted by William Gilpin (The University of Texas at Austin, Austin, Texas) also found that the Lyapunov exponent, a measure of chaos, does not correlate with the accuracy of different forecasting methods.
    Artificial Intelligence, Physics, Technology News

    Large-Scale Machine Learning Models Outperform Physics-Based Methods in Forecasting Chaos Revealed in New Study

    by Physics NewsDecember 22, 2023

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