Neural networks are a type of artificial intelligence model inspired by the structure and function of the human brain. They consist of interconnected nodes, or "neurons," that process and transmit information. These networks are capable of learning from large amounts of data and can be trained to recognize patterns, make predictions, classify objects, and perform a variety of other tasks. Neural networks are commonly used in fields such as computer vision, speech recognition, natural language processing, and robotics. They have the ability to adapt and improve their performance over time through a process called "deep learning," which involves multiple layers of interconnected neurons. Overall, neural networks have become increasingly popular in recent years due to their ability to handle complex and unstructured data, making them a powerful tool for many different applications in the field of artificial intelligence.