Fractal Patterns Explain Limits to AI Predictability, Study Finds

Researchers at the University of Sydney have discovered a fundamental mathematical reason involving fractal patterns that explains why AI systems can exhibit different behaviors despite nearly identical training conditions. This finding could contribute to enhancing the reliability and trustworthiness of AI technologies.

Originally published by gnews