artificial intelligence (AI)

Best Artificial intelligence, 2 types & applications

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Artificial intelligence is a wide field which is being used to make such computers and machines with the use of technology , which has the ability to copy the knowledge which is related to human intelligence. Such as to look and see the written and spoken article, understood and to be able to reply , to analyze the data and many more etc..

artificial intelligence (AI)
artificial intelligence (AI)

Key points about AI

1While solving the problem AI gives permission to a machine to copy the human intelligence
The goal of ai is to produce an intelligent system which can perform complicated tasks more efficiently
AI develops such a system which can solve any complicated tasks like human beings performs
AI has a wide range of applications in many fields.
In a system AI uses technologies so that it can copy to take decisions like human beings can do.
AI works with all kinds of data such as structured , non structured etc
AI uses the technology to understand the system in which it is use, to make revolution, and to better itself.2

Artificial intelligence types

Artificial intelligence is divide into types in many ways . It is divide on the basis of pattern of revolution and the work done by the ai. For example the progress of the AI is considere in four stages


Reactive Machines: This is one type of AI which is limit and which gives reaction on different stages on the basis of principles which are already programme. It doesn’t use the memory and can’t learn from new data. IBM developed deep blue in 1997 which defeated the champion of Chess Garry Kasparov, is an example of reactive Machines.
Limited Memory: Modern AI is mostly consider as limited Memory artificial intelligence. With the passage of time it works with the new data to better the memory power. In common it uses Artificial neural networks or other learning networks. Deep learning is a subset of machine learning is consider the model of limited Memory.


Theory of Mind:

Theory of mind artificial intelligence is not available at this time. But the work is going and research is going to take. Specifies the AI which can easily copy the mind and intelligence of humans. It has the power to make decisions like humans. It also has the power to understand and recognize emotions, remember and react in social situations like a human being.
Self Aware: Before the theory of mind one step above Self Aware explains about a mythical machine. It is aware of its presence. It has the abilities of humans intelligent and emotional feelings. Like the theory of Mind AI , self Aware AI doesn’t exist.

The most useful way to categorize the wide range of artificial intelligence is to understand, What it can do and what work it can perform. All such things , we call artificial intelligence , are call narrow intelligence because they can perform narrow works on the basic principles of programming.

Ai training models

In a wide range three types of training models are use in the machine learning process:


Supervised Learning: it is a learning model which uses the labeled training data (structured learning data) to make a specific map of input into the output. In simple words to design an algorithm to recognize the picture of cats , feed it the pictures on which cats should be written.


Unsupervised Learning: it’s a model of machine learning which learns the basics of pattern by using unlabeled data (unstructured data). In contrast with supervised Learning, final results will not be available before time. Although the algorithm learns from the data and divides into the groups on the basis of characteristics. Unsupervised Learning is far better than pattern learning and model learning.


Reinforcement Learning: it is a machine learning model which is broadly known for doing tasks. In that model an agent learns to perform work by feed back loop until it reaches the requirements of the task to be done. When an agent does tasks very efficiently it receives positive reinforcement and when it does not work efficiently it receives negative reinforcement. An example of reinforcement Learning is to teach the robotic hand to pick the ball.

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Benefits of artificial intelligence:

There are uncountable benefits of artificial intelligence in all aspects of life , but here we will discuss a few of them :

  • Automation: Nowadays AI is use to maintain the workflows with automation. AI can perform tasks independently without the human team.
  • Eliminate Human Errors: AI can use to eliminate human errors in processing, analysing the data and manufacturing in data assembly , automation works and many other fields.
  • Eliminate the repetitive tasks: AI can use to perform the repetitive tasks which can reduce the human efforts to perform the dangerous tasks. AI can use to do automated tasks such as to attest the documents. Copy phone calls , or simple questions of the customers “when you close?”
  • Accurate and Faster: AI can process a lot of information faster than a human being. It can find patterns. It can search such relations in data , man cannot do and can’t find.
  • Infinite Availability: AI is not limit in breaks, time in day or other human burden. While running in the cloud AI and machine learning always be on performing their assigned tasks.
  • Accelerated development and research: The ability of AI to analyze the wide range of data can be fruitful in the progress of research and development. For example AI is use in a model which gives information about the cure using medicine or use to correct the amount of the human genome. for complete information visit Google Cloud

Applications of artificial intelligence

There are uncountable applications of artificial intelligence and uses in all aspects of life , but here we will discuss a few of them :

  1. Identification of speech: ai can convert spoken speech into written articles.
  2. Identification of image: With the help of AI it is possible to identify the different stages of image and divide them into the groups.
  3. Translation: Written and spoken words are translate into the different multiple languages with the help of AI.
  4. Prediction model: AI can create new predictive models are on the basis of the given data which can predict special events.
  5. Data Analytics: for business intelligence, pattern and relations are search in data with the help of AI.
  6. Cyber security: with the help AI is possible now to scan the data automatically to avoid Cyber attacks and dangers.
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