What is Artificial Intelligence (AI)? | What is AI Technique? | Applications of AI

What is Artificial Intelligence?


Hello, Friends, I am Siddharth so today we are talking about Artificial Intelligence. Since the invention of computers or machines, their capability to perform numerous tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their numerous operating domains, their increasing speed, and reducing size with regard to time.

Artificial Intelligence
Artificial Intelligence

A branch of computer science named AI pursues making the computers or machines as intelligent as human beings.

According to the father of AI, John McCarthy, it's “The science and engineering of constructing intelligent machines, particularly intelligent computer programs”.

Artificial Intelligence may be a method of constructing a computer, a computer-controlled robot, or a software think intelligently, within a similar manner the intelligent humans think.


AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work whereas trying to unravel a problem, and so using the outcomes of this study as a basis of developing intelligent software and systems.

Artificial intelligence (AI) is a neighborhood of computer science that emphasizes the creation of intelligent machines that work and react like humans. some of the activities computers with AI are designed for include:


  • Speech recognition
  • Learning
  • Planning
  • Problem determination


Artificial intelligence may be a branch of computer science that aims to form intelligent machines. it's become a vital a part of the technology industry.
Research related to AI is extremely technical and specialized. The core issues of AI include programming computers certainly traits such as:

  • Knowledge
  • Reasoning
  • Problem determination
  • Perception
  • Learning
  • Planning
  • Ability to manipulate and move objects

Knowledge engineering may be a core a part of AI research. Machines will usually act and react like humans given that they need voluminous data about the world. AI should have access to objects, categories, properties, and relations between all of them to implement data engineering. Initiating common sense, reasoning and problem-solving power in machines may be a tough and tedious task.

Machine learning is additionally a core a part of AI. Learning with none reasonably supervision needs a capability to spot patterns in streams of inputs, whereas learning with adequate direction involves classification and numerical regressions. Classification determines the class associate object belongs to and regression deals with getting a group of numerical input or output examples, thereby discovering functions enabling the generation of suitable outputs from respective inputs. Mathematical analysis of machine learning algorithms and their performance may be a well-defined branch of theoretical computer science usually referred to as computational learning theory.

Machine perception deals with the potential to use sensory inputs to deduce the various aspects of the world, whereas computer vision is that the power to analyze visual inputs with many sub-problems like facial, object and gesture recognition.


Robotics is additionally a major field associated with AI. Robots need intelligence to handle tasks like object manipulation and navigation, besides sub-problems of localization, motion coming up with and mapping.




What is AI Technique?


In the real world, the knowledge has some unwelcomed properties −

Its volume is large, next to unthinkable.
It is not well-organized or well-formatted.
It keeps ever-changing constantly.
AI Technique may be a manner to prepare and use the data with efficiency in such how that −

It ought to be perceivable by the people that give it.
It ought to be simply modifiable to correct errors.
It ought to be helpful in several situations though it's incomplete or inaccurate.
AI techniques elevate the speed of execution of the complicated program it's equipped with.


Applications of AI 


AI has been dominant in numerous fields like −


  • Gaming − AI plays a crucial role in strategic games like chess, poker, noughts, and crosses, etc., wherever machine will consider a large number of possible positions supported heuristic information.
  • Natural Language process − it's possible to interact with the computer that understands the natural language spoken by humans.
  • Expert Systems − There are some applications that integrate machine, software, and special information to impart reasoning and advising. they supply explanation and recommendation to the users.
  • Vision Systems − These systems understand, interpret, and comprehend visual input on the computer. as an example,
  • A spying aeroplane takes pictures, that are used to figure out spatial information or map of the areas.
  • Doctors use the clinical expert system to diagnose the patient.
  • Police use computer software which will recognize the face of criminal with the stored portrait created by a forensic creative person.
  • Speech Recognition − Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings whereas a human talks to it. It will handle completely different accents, slang words, noise within the background, change in human’s noise due to cold, etc.
  • Handwriting Recognition − The handwriting recognition code reads the text written on paper by a pen or on screen by a stylus. It will recognize the shapes of the letters and convert it into editable text.
  • Intelligent Robots − Robots are ready to perform the tasks given by a human. they have sensors to detect physical information from the real world like light, heat, temperature, movement, sound, bump, and pressure. they have economical processors, multiple sensors and large memory, to exhibit intelligence. additionally, they're capable of learning from their mistakes and that they will adapt to the new setting.


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