What is Artificial Intelligence and why it is about to lead the world . Are machine learning and artificial intelligence same ?
In this blog we will give you a basic overview of Artificial Intelligence and what will be the future of AI .
Introduction
Artificial Intelligence is the ability of robots or computers to perform human actions , to think like human , to behave like human . These robots or machines are controlled by humans through computers . Although there are many tasks that these robots can't do but yeah they match human in some cases .
Are Machine Learning and AI the same ?
No , Artificial intelligence and machine learning are not the same thing . Machine learning is a way to train computer to learn from its outputs . Machine learning makes a computer able to achieve Artificial Intelligence .
Why is AI Important
Artificial Intelligence is important because it gives another way to look at tasks like repetitive tasks Example If You are performing a repetitive or detail oriented task like analysing large number of documents and to ensure relevant fields are filled properly .
It reduces human efforts and time to perform different tasks .
Advantages and DisAdvantages of Artificial Intelligence
Artificial intelligence and deep learning is evolving faster to meet the need of human . More and accurate results in minimum time .
Advantages
Good in detail oriented jobs
Reduces time for data heavy tasks
Delivers consistent results
AI powered virtual agents are always available
Disadvantages
Expensive
Require deep technical knowledge
Limited supply of qualified workers to build AI based softwares or machines
Lack of ability to generalize from one task to another .
Four types of Artificial Intelligence
There are four categories of AI expaniled by Arend Hintze an assistant professor at Michigan State University .
The categories are explained below ;
1 : Reactive Machine
Reactive machine typed AI systems have zero memory and are task specified .
For example ; the IBM chess program DEEP BLUE , it can identify the step but can't use previous experience because of zero memory .
2 :Limited Memory
These machines have a limited memory and can use past experience to utilize in future .
For Example : Some of the self driving cars are made this way .
3 : Theory of Mind
Theory of mind is a psychological term . It means that when it is applied to AI the system build will have the intelligence to understand human emotions .
4: Self Awareness
In this category , the Artificial intelligence system will have a sense of self . Applying self awareness to AI will give them consciousness . Machine with this category knows their own current state . This type of machine doesn't exist yet .
What are the Examples of AI and how is it used today ?
AI is emerged into different type of technologies . Here are three types given below :
AUTOMATION
When automation is paired with AI , Automation can expand he volume and tasks performed .
An example is Robotic Process Automation , A type of sotware that traditionally done the repetative tasks and rule based data tasks but when it is paired with AI and deep learning everything is now done automatically . easily done job.
Self Driving Car
Image recognition and deep learning is used in self driving cars avoiding accidents .
Natural Language Processing NLP
NLP is a process of human language in computer program . The best example of NLP is spam detection , It looks at the subject line and text of the email and decides if its a junk file . NLP tasks also include text translation , speech recognition and sentiment analysis .
Conclusion
Artificial intelligence is about to conquer the world . Once and for all .
In this blog we discussed , basic introduction , importance , advantages and disadvantages , Some examples of AI and the categories in Artificial intelligence .
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