A convolution is a mathematical operation that combines two functions to produce a third function, representing the way one function modifies or affects the other. It is commonly used in signal processing, image processing, and machine learning, particularly in convolutional neural networks (CNNs). The convolution operation involves integrating the product of the two functions after one is flipped and shifted. This process helps extract features and patterns from data, making it essential for various applications in technology and science.