In the previous, blog we understood the difference between Artificial Intelligence, Machine learning and Deep learning. If you haven’t read it yet I recommend
you to read it first.
A.I. (Artificial Intelligence) is broad branch of computer
science, the goal of A.I. is to create the system that can function
intelligently and independently.
The concept of A.I evolved
during world war 2 to break the code message sent by German. The name of the
machine was enigma. It work was to decrypt the code sent by German. There a
movie created on the basis of this topic. The name of the movie is "The Imitation
Game”. It’s a nice movie if you interest in A.I then you should watch it. This
is how the evolution of A.I. started.
With the help of A.I. we are trying to create a machine
which can think like human.
A.I. system is created similar to human brain. Human brain can
lean by reading, seeing and though experience, similarly A.I. also learn though
the given data, and though the feedback giving by the user after the A.I. provide
the output.
As from the Diagram we can see A.I. has 2 sub-branch.
1.Symbolic learning.
2.Machine learning.
1.Symbolic Learning:
Symbolic Learning also has two sub-branches.
1.
Robotics: Human can understand their environment
move around fluidly. Similarly, computer can understand the situation and take
the decision accordingly. Example: Human can differentiate the floor and
staircase accordingly they move.
2.
Computer Vision: It’s image processing area were
the data is created which can be read by computer. Example: Self-Driving car require
the data of the obstacle which will be coming in the way of car.
2.Machine Learning:
Machine learning itself is an vast topic so we will cover it
in next blog.
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