The main purpose of artificial neural networks is to model and solve complex problems by mimicking the structure and functioning of the human brain. These networks consist of interconnected nodes (neurons) that process input data, learn patterns, and make predictions. Neural networks excel in tasks such as image recognition, natural language processing, and various predictive analytics applications. By leveraging the power of deep learning, artificial neural networks can analyze vast amounts of data and improve their performance over time.