The Radix-2 algorithm is a highly efficient computational technique used to compute the Fast Fourier Transform (FFT) by recursively breaking down a Discrete Fourier Transform (DFT) of any composite size into smaller DFTs of size 2. This algorithm significantly reduces the computational complexity from O(N^2) to O(N log N), where N is the number of data points, making it ideal for digital signal processing applications.