What is Artificial Intelligence?


Artificial Intelligence, also known as AI, is one of the most renowned and effective branches of computer science, which mainly focuses on solving problems and doing tasks that primarily need human intelligence. The fact that AI implementation has increased over the past years has given rise to several online and offline Artificial Intelligence courses for people to pursue. An Artificial Intelligence course focuses on providing people with the basics of AI and the theoretical knowledge of the field. 

In today’s world, most businesses and organisations use AI to improve their performances in their respective fields. To understand how AI works, we should first take a look at what it means. 

What is the definition of Artificial Intelligence?

The term Artificial Intelligence was first popularised back in 1956. However, AI has become the more usable one over time. Artificial Intelligence is arguably the most effective branch of computer science these days that manages to do all the tasks successfully that require human intelligence as the primary source of energy. 

The primary focus of Artificial Intelligence is to analyse human actions and reactions and then mimic them whenever needed. It can rationalise and take necessary actions when the situation arises to achieve a specific goal. It has different techniques and approaches for different situations. The operation system varies from one situation to the other and has the capability to understand what exactly a certain situation needs. The learning algorithm of AI machines has also improved over the past few years, which eventually ensures the best performance from a machinery point of view.

It can be considered to be a machine-operated intelligence that opposes the phrase natural intelligence. Some people consider machines that can mimic human intelligence as ‘cognitive’ systems that have the ability to run as parallel intelligence systems.

In today’s world, where the internet has become one of the leading factors, Artificial Intelligence has a huge role. It helps the online applications improve their performance and works towards the betterment of the human experience. 

What purpose does it serve?

There are many purposes that Artificial Intelligence has, and with its cognitive power, it manages to achieve most of them successfully almost all the time in real-time. 

  • Artificial Intelligence has the ability to learn from human experiences, their mistakes and work towards not making the same mistakes again. They also have the ability to analyse more data and have deeper knowledge in less time.
  • It can adjust new inputs, analyse them, and take actions to change them in the future. For example, the operating systems of apps like YouTube, LinkedIn, Tiktok, Facebook, and Instagram depend big-time on Artificial Intelligence. It helps these apps make better recommendations, suggest videos/ news/ posts based on previous searches. 
  • AI helps make better shopping recommendations for different online shopping apps like Flipkart, Amazon, Snapdeal, and Myntra. It saves a lot of time for both the customer and the seller at the same time without spamming any of them. AI machines can observe past actions accurately, and therefore, they make no mistake in amplifying the same to make better recommendations for these platforms.
  • AI helps the entire software scenario from various angles with the help of mimicking human nature and intelligence. It does not make the same mistakes humans make and manages to provide a better and quick service.

Different Approaches of AI:

Artificial Intelligence is a broad term consisting of several techniques and approaches that are used in various situations. Different time zones have seen different kinds of AI implementations, and different situations require different solutions. Therefore, it is important to understand the probable approaches AI has to handle different real-time situations.

Some of the major AI approaches include:

  • Reactive Machines: Reactive machines are the oldest form of AI. These have existed in the scene for quite some time now. Reactive machines have limited capability. Their main purpose is to focus on human actions and prepare their system to react to different situations with different reactions.
  • Limited memory: Limited memory, on the other hand, on top of having reactive memory, seems to have the capability to learn from past human mistakes and make the right decisions accordingly in the future.
  • Theory of Mind: The above-mentioned two major Artificial Intelligence types seem to be used fully to date. However, theory of mind exists only a concept or a vague idea in the market even today. The idea is to improve the system of AI to make them more capable of understanding the entities they are dealing with so that their reactions can be better and more organised than before. 
  • Self-awareness: This is yet another type of AI that experts have not used extensively and seems to exist only hypothetically. The idea is to grow more akin to human brains so that the machines can be more self-aware of their actions and reactions. Therefore, in the future, AI machines will be able to have emotions, feelings, sympathy, and other values along with understanding their entities.

Limitations of Artificial Intelligence:

Although the functions and applications of all the Artificial Intelligence machines seem quite outstanding in today’s fast-paced world, there are certain limitations in the AI operating systems. And while understanding the benefits of AI, we should also consider taking a look at the disadvantages of Artificial Intelligence in the world.

The major disadvantage of AI systems is the implementation cost that all businesses have to pay at the beginning. Setting proper AI machines, computers, and other systems requires a lot of monetary back-ups and not every business can pay the huge amount at the beginning of their journey. Moreover, the maintenance and repairing cost surpasses its implementation cost, and it becomes overwhelming for most small business owners.

Another major problem of using AI machines is the lack of creativity. They do have the ability to analyse past human experiences and make better decisions for the future. Nonetheless, they fail to bring about creative ideas and patterns in the scene.

Apart from that, with the increased rate of AI implementation in today’s world, the fear of more people being unemployed rises. Machines are better at doing repetitive software tasks and monotonous exercises over and over again. They also have the capability to do the tasks quickly and properly, which puts human intelligence behind in the race.

Having said that, they have their own set of major issues to deal with, and all AI implementations have to come up with a bunch of disadvantages the business owners simply have to accept. Moreover, no matter how quick they get and how experimentative they are in their work, human intelligence cannot be replaced, not yet.


Although AI systems come with several challenges, they do bring solutions to problems. An ever-increasing reliance on AI increases the demand and scope for professionals trained in Artificial Intelligence and machine learning. Therefore getting trained in this domain would help you with a career in AI. 


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