Neuronal Networks

Neuronal networks are computer systems inspired by the human brain’s structure, designed to recognize patterns and solve complex problems. They consist of interconnected nodes called "neurons" that process information, learn from data, and improve their performance over time. Just as our brains learn from experience, these networks adjust connections based on the data they receive, enabling tasks like image recognition, language translation, and decision-making. They work by passing signals through layers of neurons, gradually refining their understanding, making them powerful tools for artificial intelligence applications.