The article discusses how machine learning is being used in computer vision to help computers understand images and videos. It explains different types of machine learning techniques like supervised, unsupervised, and reinforcement learning. These techniques are used to teach computers to recognize objects, classify them, and extract useful information from visual data. The article also mentions newer methods like zero-shot learning and self-supervised learning. Overall, the research looks at how machine learning is evolving in the field of artificial intelligence for computer vision and provides insights into future directions for researchers.