Symbolic AI

Goal

Make scientific priors explicit to improve interpretability and out-of-domain stability.

Key Capabilities

• Symbolic regression and equation discovery
• Constraint injection for conservation laws and boundary conditions
• Model simplification and residual-error analysis

Typical Scenarios

• Physics fitting under sparse data
• Low-dimensional law extraction for multi-scale systems