Artificial Intelligence (AI)

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

AI can be categorized into two main types

Narrow or Weak AI

This type of AI is designed and trained for a particular task. It is limited to the specific function it is programmed for and cannot perform tasks outside its scope. Examples include virtual personal assistants, image and speech recognition systems, and recommendation algorithms.

General or Strong AI

This is a more advanced form of AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks—similar to human intelligence. Achieving strong AI is a complex and theoretical goal that has not been realized as of my last knowledge update in January 2022

It involves the development of algorithms and models that enable computers to perform tasks that typically require human intelligence. These tasks include problem-solving, understanding natural language, speech recognition, visual perception, learning, and decision-making.

AI applications subfields

Machine Learning (ML)

A subset of AI that focuses on the development of algorithms allowing systems to learn and make predictions or decisions based on data

Natural Language Processing (NLP)

Enables machines to understand, interpret, and generate human language, facilitating communication between humans and computers.

Computer Vision

Involves giving machines the ability to interpret and make decisions based on visual data, such as images or videos.

Robotics

Combines AI with physical machines to create robots that can perform tasks in the real world.

Expert Systems

Utilize knowledge bases and inference engines to solve specific problems or provide expertise in a particular domain.
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