WHAT IS ARTIFICIAL INTELLIGENCE?

                           WHAT IS ARTIFICIAL INTELLIGENCE? 


It is the ability to imitate humans (such as using language/speech, vision/image

recognition, making predictions, learning, problem-solving, ability to move and

manipulate objects on their own)

An Artificial Intelligence Agent is a computer that can perform these activities.

But how do we impart the ability to think and learn like humans on the machines?

We program computers to enable them to identify things, understand the relationship

between them, predict and decide what to do, in various situations. AI, therefore, is the

application of computing to solve problems in an ‘intelligent’ way using computer

programs. The steps to solve these problems are commonly written in the form of

algorithms, we will learn more about these later.

So, what is an intelligent way?

Well, an intelligent way is how humans use their senses, brain, and abilities to make

decisions that help them towards the goal they want to achieve, autonomously (without

being controlled directly by others). Similarly, AI involves computers completing a

task automatically with very little to no human intervention. Here, a computer uses its

capabilities for gathering information, analyzing it to make decisions and act.

AI doesn’t mean that a computer can feel, or that it has a personality of its own. However,

many researchers have been questioning and studying whether ‘a robot should have

rights’?Several scientists consider Artificial Intelligence to be somewhat of a misnomer,

suggesting that True AI is still years away. Many believe it will be more accurate to call

the current AI systems ‘Augmented Intelligence’, or the use of machines to extend

human capabilities and what they can do.

However, there has been a lot of progress made over the years in this field. Now instead

of programming a computer to perform a very narrowly defined specific task, we can

feed it data, let it discover patterns and learn tasks on its own. For example, a computer

may be used to identify pictures of apples or bananas based on color and shape.

Instead of this, we can give the computer lots of pictures of each fruit and program it

to identify apples and bananas based on common features (edges, lines, curves, etc.)

in those images. In other words, we have machines that can make predictions — and

get better at them — based on a library of data. That’s still a far cry from a robot that

can think for itself.


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