AI for Science: The 5th Paradigm

Core Concepts

Evolution from Empirical, Theoretical, Computational, and Data-intensive paradigms to AI-driven scientific discovery.

Key Challenges

• The Curse of Dimensionality
• Trade-off between Accuracy and Efficiency
• Physics-Informed Neural Networks (PINNs)