A Feedforward Neural Network is a type of artificial neural network where connections between the nodes do not form a cycle, making it the simplest form of neural network architecture. It processes inputs in a single direction, from input to output, and is widely used for tasks such as classification and regression due to its straightforward design and ease of implementation.