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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Discovering Multiscale Deep Formulas in Complex Systems via Neural-Guided Lambda Calculus

    Researchers have developed Deflex, an AI method designed to extract mathematical formulas from complex systems, particularly those with multiple scales. This approach utilizes a neural-guided lambda calculus system, combining a symbolic regression model with a deep energy model to identify scale-specific patterns. Deflex reportedly achieves significantly higher efficiency than existing methods in discovering these multiscale formulas, offering a potential tool for scientific discovery. AI

    IMPACT Enables automated discovery of underlying mathematical laws in complex systems, potentially accelerating scientific breakthroughs across disciplines.