Artificial intelligence

Artificial intelligence

The artificial intelligence, sometimes we called machine intelligence also in computer science technology, this intelligence expressed by machines and it is in combination with the natural intelligence displayed by human beings.

Artificial intelligence in which we development of intelligence of a machine. Working like humans i.e thinking, working. For example voice recognition, problem-solving, learning, etc. Artificial intelligence invented in 1956. Artificial intelligence modeled by John McCarthy is a great computer scientist in America.

Where the machine thinks and learns. It is a computer program i.e., artificial intelligence in short form AI. By this study our computer becomes smart.

We have some types of artificial intelligence. They are namely.

  1. Artificial weak(narrow)  intelligence (ANI)
  2. Artificial normal(intelligence)  (AGI)
  3. Artificial superhuman intelligence (ASI)
  4. Reactive machines
  5. Theory of mind
  6. Limited  memory
  7. Self-awareness

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The weak artificial intelligence :

The weak artificial intelligence is a type where the task is performed by humans in a narrowly defined way. We invent machines with human intelligence so in this we invent Machines in a way that only acquires narrowly perform work.

Do we have another one that is narrow artificial intelligence what is that? It is a type of AI 

My answer is no,  it is not another type of AI actually it is another name to narrow AI. The machine determined to do only one single work … Examples of weak intelligence :

Alexa in Google, tools they are used to compiling the language ….

Narrow is one part of Al that is only single work that can be performed i.e checking the weather conditions,  play chess and analyzing the raw data to write a journalistic report. The ANI can perform real-time tasks, but they take the information from a specific data-set.

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The normal artificial intelligence :

General artificial intelligence is in short form we can say  AGI . in this the machine can imagine the concept work and they do what they understand. Machines do the same as human beings.

The Artificial superhuman intelligence

It is also called as the property of problem-solving in this the machine has a talent that they solve the problems as humans solve. In this, the machine can translate the language and engineering assistants .they embodied in the world with high-level intellectual competencies. The superintelligence machines are plays the chess Better than humans because of fritz can’t outperform humans in other tasks. Some argue advances in Artificial intelligence will probably result in general reasoning systems that lack human cognitive limitations because some technological researchers disagree with the concept of AI that is how a machine can do all the things like a human.

Humans will evolve or else  directly modify their biology so that  we as to achieve radically greater intelligence

The machine can work easily and recall fastly and complete the work fastly and the machines decrease the stress and work to humans.

Reactive machines

In this, the machines observe the world and react to it. They don’t store the memories and they don’t use the past experience .they simply react to the world

The famous example of reactive machines is IBM’S Deep blue, these are defeated the chess grandmaster Kasparov it is a reactive machine that we can see the pieces on a chessboard and react to them.

Theory of mind

In this, the mind and its phenomena of qualia and consciousness are the main informational entities, in a highly advanced form. The main reason for machine invention to decrease the time to do more work.

 When they have done this, the nature of puzzling entities is finally revealed.

Limited memory

In this limited memory AI, the machine has temporary memory they don’t have permanent memory they just do the works by using past experience. Somewhere self-driving cars are there I think these are examples of limited memory because of the self-driving cars they drive itself only. Humans are not driving these cars. They instructed themself and they drive cars.

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Self-driving cars themselves self they instructed how to cross the roads and what to do in signal time. they instructed They have limited memory, in addition, they have capabilities of purely reactive machines and these also capable of learning the historical data to make the decisions.


Self-awareness This is nothing but consciousness this is called self-awareness. The machines aware themselves and know about internal states and are able to predict the feelings of others.

They create their own instructions they follow that and the Machines know in what time what to do.

The artificial intelligence must have responding sense .if they don’t have responding nature there is no use with them for example if one plant must respond to whether if not the plant lifetime comes to end. Then the machines respond to the surroundings it is useful us ….

What we have to do based on the circumstances.

It works automatically by itself without any human work .it goes according to the instructions stored into it.

Applications of Artificial intelligence

  1. Optical character recognition.
  2. Speech recognition
  3. Handwriting recognition.
  4. Artificial creativity
  5. face recognition.
  6. Image editing, computer functionalities, imagination
  7. Photo and video modifications
  8. Diagnosis (AI)

Examples of AI

 Siri and Alexa, and online commerce, Pandora, cogito, nest, boxever, AI  robotics, humanoid, spam filters.

How to create Artificial intelligence :

Most importantly, AI works with the combining of large amounts of instructions with fast and lot of algorithms and steps and coding all are allowing the software to learn automatically from the patterns or features in the data. The machines work like humans all things not now but the future they can perform.

The intelligence of AL is taking decisions and making complex decisions. Complete the work with fast and decrease the time to do.

If we see anywhere the main concept of this AI is the machines able to work like humans

According to the researchers, Artificial intelligence will only be 1/10 as smart as a human by the year  2035. But by the year 2060, AI could start performing nearly all the tasks humans do, and could certainly do it better than humans.

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Disadvantages with AI:

High cost :

The creation of AI is needed a huge amount .it is very costly and needs a lot of time and a lot of programs.

No original creativity :

They don’t have any original creativity there is no creativity. All things run as usual there no development.

Unemployment :

By this unemployment occur because all the works are done by machines. If in some situations all the work done by Machines maybe humans become lazy.

No improvement :

There is no improvement in the works . If incase all the works are done by machines  theirs is no work to do by humans

Some times the machines become dangerous the machines do negative things if all are not set perfectly.

Advantages with AI :

AI would have a low rate of error compared to humans if coded properly to machines. Machines would have incredible precision, timeliness, accuracy, and speed.  Machines don’t have any impact by dislike surroundings .they can perform dangerous works to help humans.

AI has been used to utilize   traffic management and in future, it can be used to create a self-automated car and artificial intelligence can decrease the wait time by 25 percentage

Uses of artificial intelligence :

  • Emails, voice changer, features of voice concert into text, smart assistants.
  • Google Assistants like Siri.
  • Accounting in a bank.

Software of Artificial intelligence :

In software we have coding, with coding we can do statistics, design’s, creating intelligence, speaking, problem-solving, reading, learning all are we can do. We have all the steps and procedures to do the programs. Program is nothing but a collection of data by this programs we can do anything . . . This program is a computer program by using this program the machine can speak like humans, solve problems, etc. These computer programs are used to learn the deep concepts of Artificial intelligence.

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