Branches/Application/Types Of Artificial Intelligence | Smart Resourceful Learning | SRL |

Описание: What is AI?
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The Major Branches/Application/Types of Artificial Intelligence:
Experts Systems.
Robotics.
Machine Learning.
Neural Network.
Fuzzy Logic.
Natural Language Processing.

Experts System: In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code

Robotics Robotics is an interdisciplinary field that integrates computer science and engineering.[1] Robotics involves design, construction, operation, and use of robots Robotics develops machines that can substitute for humans and replicate human actions. Robots can be used in many situations and for many purposes, but today many are used in dangerous environments (including inspection of radioactive materials, bomb detection and deactivation), manufacturing processes, or where humans cannot survive (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation).

Machine Learning: While machine learning is based on the idea that machines should be able to learn and adapt through experience, AI refers to a broader idea where machines can execute tasks "smartly." Artificial Intelligence applies machine learning, deep learning and other techniques to solve actual problems.

Neural Network (Deep learning):An artificial neural network (ANN) is the piece of a computing system designed to simulate the way the human brain analyzes and processes information. It is the foundation of artificial intelligence (AI) and solves problems that would prove impossible or difficult by human or statistical standards.

Fuzzy Logic: Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The fuzzy logic works on the levels of possibilities of input to achieve the definite output.


Natural Learning Processing: Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. ... The fuzzy logic works on the levels of possibilities of input to achieve the definite output.

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