Machine learning (ML) is concerned with creating algorithms for constructing predictive models from data and is a foundation for the rest of AI.
Computer vision is an area in AI that deals with the construction of explicit, meaningful measurements and descriptions of physical objects from images.
Natural language processing (NLP) develops methods for processing text data and speech, e.g., machine translation, conversational agents and text summarization.
Robotics AI is concerned with designing systems, independently interacting with their physical environment, such as industrial robots, drones, and self-driving cars.
One of the most important applications of AI has been to healthcare. NYU is a pioneer in applying breakthrough machine learning techniques to healthcare, facilitated by close ties between NYU's School of Medicine and the multiple AI research laboratories at NYU.