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Artificial Intelligence

Artificial Intelligence is a developmental science, and does not come with a complete definition; however, the definition given by Mr. McCarthy is still popular −
“An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”

Examples of AI

Following are a few examples of Artificial Intelligence in today’s world −
  • Voice recognition by a computer system
  • Image interpretation
  • Face recognition
  • Technology of biometrics
  • Driverless vehicles
  • Communication with machine, etc.

Applications of AI

In today’s technological world, AI is being applied in many different fields.
Application of AI Techniques in Network Intrusion Detection Intrusion Detection Systems (IDS) protects computer and communication networks from intruders. Following are the major areas where Artificial Intelligence is applied −
  • Application of AI Techniques in Medical Field
  • Application of AI Techniques in Accounting Databases
  • Application of AI Techniques in the Computer Games
  • Application of AI Techniques in enhancing the human intelligence, etc.

Data Mining

Data mining is an interdisciplinary branch of computer science, which involves a complex computing process and technique to discover the patterns in huge data sets.
It is a computing process that involves various methods along with machine learning, statistics, and database systems. Data mining helps in managing large databases.

Robot

Robot is an electromechanical technology (machine), which is programmed in such a way that it can perform a series of works automatically.
Robot
A robot can perform a variety of tasks, as programmed through the computer.

Areas of AI

Following are the major areas wherein, artificial intelligence is used −
  • Understanding the language
  • Problem solving
  • Learning and adoptive system
  • Visual perception
  • Robots
  • Modeling
  • Games

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