The FAST Algorithm, or Features from Accelerated Segment Test, is a method used in computer vision to detect interest points or keypoints in an image, which are crucial for tasks like object recognition and image matching. It is renowned for its computational efficiency and simplicity, making it highly suitable for real-time applications where speed is critical.