Artificial Intelligence

In the ancient time, computers were just dumped machines which were doing a similar task as instructed by the programmer. Computers had no power to do anything good or bad from themselves. The instructions (software/code) provided by the human were to be followed exactly in the same manner that was given. Once the code executed the computer has no capacity to remember the input (code/instruction) as well as the output.

 

As we see development in technology and science, scientists start thinking to make the computers/machines behave just like humans as humans can decide, remember, learn from past experience, etc.  Thus we can say that Artificial intelligence refers to the simulation of human being’s intelligence.

 

Humans can learn from the people surrounding them, where they live and grow up, from observing nature, from past experience, and lots of many different ways. To behave like humans, machines/computers have to be trained first. Here we use the subset and crucial part of Artificial Intelligence called 'Machine Learning or ML'.

 

Machine Learning means training a machine with predefined data. To build intelligence algorithms that can experience from the provided data. Let’s take a simple example to train a machine. Suppose we have a computer/robot and we want our computer to identify the cat where we have pictures of dog, hen, cat, sheep.

 

To do the above we have to train our machine first by providing it as much data as we can about the cat. Please note that the number of rich data (lots of data) means the chances of correct/better results. We will provide different pictures of different types of cats, sizes, shapes, colors, structures, and many more. When we provide all the necessary data to recognize the cat, the computer will be able to identify the cat from the given pictures by comparing the cat’s model with the training data. This is just a high-level explanation of ML. To train the machine there are many strategies exist.

 

AI does more complex tasks by analyzing the existing data. Big data helps to improve the predictions of the AI, based on previous experience.

 

There two main categories of Artificial Intelligence.

1.  Weak Artificial Intelligence: 
These are designed to do a particular task.

2. Strong Artificial Intelligence:
A strong type of AI means a machine can work very closely with humans. Behave just like humans. These are able to perform complex tasks as well.

Artificial has become very popular and in the future, we will be no longer existing without AI.

AI is playing a great role to perform home chores, critical business decisions, health care sectors, education, industrial, etc. Almost every type of work that was being performed by the human, is possible to perform by the machines today. No doubt, in the future, we will be more dependent on AI than today.