Exp-Minus-Log operator computes all elementary functions
A newly discovered two-input operator, Exp-Minus-Log (EML), combined with the constant 1, can generate all standard scientific calculator functions. This uniform binary tree structure enables gradient-based symbolic regression, allowing neural networks to extract exact mathematical formulas directly from numerical data.
The EML operator acts as the NAND gate for continuous mathematics, offering a profound shift in how AI models can perform symbolic reasoning.
- –Reduces complex operations like exponentiation, division, and trigonometry to a single uniform grammar
- –Uniform tree structure allows standard optimizers (like Adam) to directly train symbolic circuits
- –Successfully recovers closed-form elementary functions from raw numerical data at shallow tree depths
- –Paves the way for dedicated AI hardware accelerators optimizing a single continuous math primitive
DISCOVERED
46d ago
2026-04-13
PUBLISHED
46d ago
2026-04-13
RELEVANCE
AUTHOR
pizza
