Mathematical Formula Unveils Neural Networks’ Learning Process

Researchers have developed a formula that can explain how neural networks learn and make predictions, providing a way to interpret the inner workings of these black box systems. This has important implications for understanding and ensuring the reliability and accuracy of AI-powered tools in various industries.