What is Artificial Intelligence ? Definition and Concept!

Oct 5, 2019

Artificial Intelligence (AI) is a Big part of computer science , that Means It emphasizes the creation of intelligent machines and According To that Workman reacts like humans,AI has become an essential part of the technology industry.

-> Resource Associate with Artificial Intelligence is highly technology and

specialized.The core problem is an Artificial
Intelligence Include Programming computer for certain traits such as:

  1. Knowledge
  2. Reasoning
  3. Problem Solving
  4. Perception
  5. Learning
  6. Planning
  7. Ability to manipulate and move objects

Foundation of Artificial Intelligence

Beginning of AI (1943): The Concept of Artificial Intelligence began around 1943. AI is not limited to the computer science disciplines, but can be seen in various other areas.

AI knowledge-based expert system (1970): An AI system often uses a rule-based system to capture knowledge in the form of if-Then statements or as decision trees.

Machine Learning(1998): There are two type of machine learning:
i. Formal : The Formal type of Machine learning is a computer programs that learn from experience in respect to some task and
increases performance based on that experience.
ii. Informal : The informal involves giving computers the ability to learn without explicitly programming the capability.

Supervised Learning(2004): The supervised learning is based on giving the correct answer and having the computer mapping inputs to outputs. For Example,
i. Spam Filters: Software is trained to learn and distinguish between spam and non-spam messages(For example, e-mail filters).
ii. Facial recognition: It is used by cameras to focus and via photo editing software to tag persons(For Example, Facebook).

Unsupervised learning (2010): Unsupervised learning is the reverse of supervised learning Where the correct answers are unknown. For example,
i. Clustering algorithm: Used to find pattern in data sets And then group that data into coherent clusters.
ii. Market Segmentation: Targeting customers based on regions, like, dislikes, when the consumer make purchases, etc. This is considered targeted marketing.

Genetic Programming(2010): Genetic programming is an idea that uses evolutionary process to improve algorithms.

Future of AI(2019 on-words): There are many challenges in mimicking human intelligence. Human aware common senses that are intuitive but hard to reason rationally. For example, the color of a blue car is blue.

expert system 1970 an ai

gramming computer for certain traits such as:

  1. Knowledge
  2. Reasoning
  3. Problem Solving
  4. Perception
  5. Learning
  6. Planning
  7. Ability to manipulate and move objects

Foundation of Artificial Intelligence

  1. Beginning of AI (1943): The Concept of AI began around 1943.
  2. AI is not limited to the computer science disciplines, but can be seen in various other areas.
  3. AI knowledge-based expert system (1970): An AI system often uses a rule-based system to capture knowledge in the form of if-Then statements or as decision trees.
  4. Machine Learning(1998): There are two type of machine learning:
    i. Formal : The Formal type of Machine learning is a computer programs that learn from experience in respect to some task and increases performance based on that experience.
    ii. Informal : The informal involves giving computers the ability to learn without explicitly programming the capability.
  5. Supervised Learning(2004): The supervised learning is based on giving the correct answer and having the computer mapping inputs to outputs. For Example,

  6. i. Spam Filters: Software is trained to learn and distinguish between spam and non-spam messages(For example, e-mail filters).
    ii. Facial recognition: It is used by cameras to focus and via photo editing software to tag persons(For Example, Facebook).
  7. Unsupervised learning (2010): Unsupervised learning is the reverse of supervised learning Where the correct answers are unknown. For example,
    i. Clustering algorithm: Used to find pattern in data sets And then group that data into coherent clusters.
    ii. Market Segmentation: Targeting customers based on regions, like, dislikes, when the consumer make purchases, etc. This is considered targeted marketing.
  8. Genetic Programming(2010): Genetic programming is an idea that uses evolutionary process to improve algorithms.
  9. Future of AI(2019 on-words): There are many challenges in mimicking human intelligence. Human aware common senses that are intuitive but hard to reason rationally. For example, the color of a blue car is blue.

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