Artificial Neural Networks (ANN) are a special type of AI system that works a little like the human brain. Our brains have billions of tiny nerve cells called neurons that send signals to each other to help us think and make decisions. In the same way, an artificial neural network is made up of layers of artificial “neurons” — computer programs that work together to process information and learn patterns. An ANN learns by looking at lots of examples. For example, if we show it many pictures of fruits, it can learn to tell the difference between an apple and a mango. The network adjusts its internal connections each time it makes a mistake, so over time it gets better at recognizing things correctly. Artificial neural networks are used in many real-world applications. They help in voice recognition (like Siri or Alexa), image recognition (such as identifying faces or objects in photos), and even in healthcare, where they can help doctors detect diseases from medical images. In simple words, an ANN helps computers learn, think, and make decisions more like humans by finding patterns and learning from experience.