Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Computer Graphics, DIP

Difference between Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Computer Graphics, Digital Image Processing, Natural Language Processing

Relation Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Computer Graphics, Digital Image Processing, Natural Language Processing

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

Machine Learning (ML) is the study of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.

Deep Learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input. Example: In image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters, or faces.

Computer Vision is a field of artificial intelligence that trains computers to interpret and understand the visual world (Images/Videos). Takes an image/video as an input and produces an outcome as a decision. For example, face recognition using the image.

Computer Graphics deals with creating images, animations, videos, with the help of computers by taking numerical data, mathematical models or graphical data.
Video Games
Animations
Drawing on Screen (Paint)

Digital Image Processing is the use of computing machines to process images using different algorithms (AI or non-AI based).
Edge Detection
Image Enhancement
Image Segmentation

Natural Language Processing is the use of computers to manipulate, interpret and understand the human language.
Speech Recognition
Text Translation
Sign Language Recognition