Artificial Neural Networks (ANNs) simulate the way humans learn and process information.ANNs consist of nodes (artificial neurons) organized in layers: input, hidden, and output.Training an ANN involves adjusting weights and biases using backpropagation and optimization.ANNs have diverse applications in computer vision, NLP, healthcare, finance, and robotics.