Machine learning is a branch of artificial intelligence (AI) that deals with automatic pattern detection on the basis of example data. In this respect, there is no difference, but rather one must speak of a field relationship.

Artificial intelligence (AI) is a very large field of research and application, which is divided into two main areas:

Weak artificial intelligence

Solving a problem by using algorithms that emulate the processes of human thought. Important characteristics are the ability to learn and the robustness against the randomly influenced data space.

Strong artificial intelligence (True AI)

Creation of an artificial intelligence, which possesses a consciousness and corresponding human qualities, such as creativity and spontaneity.

The definition of what AI is and what it is not can unfortunately only be answered in vague terms, as it is a very large area defined by a rather vague definition..

AI is the exploration, creation and application of intelligent problem solving behavior and computer systems that are capable of solving problems that previously could only be solved with human intelligence.

Artificial intelligence is therefore located in a cross-section of many research areas:

•  Mathematics
• Computer Science/Neuroinformatics
• Neurophysiology
• Linguistics
• Psychology
• Communication Research
• Cognitive Science

Often the sub-areas of the AI are defined by the methods used or by the application/objective:

• Rule base expert systems
• Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
• Genetic Algorithms
• Robotics
• Computer Vision

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