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Computers take input, process it and give the desired output. For AI system to work, it requires data. We feed
machines with data, and they analyse the data to make predictions. Input given to the machine is called data.
Data can be in any form—numbers, text, audio, video, etc. AI has the capacity to carry out complex tasks.
Before discussing about the domains of AI, let us first discuss about human-machine interaction.
Human-Machine Interaction
Human-Machine Interaction (HMI) can be defined as the communication or interaction between humans and
machines through a user interface to fulfill a specific task or operation. With the help of user interface, a human
communicates with a computer while working on the computer. In human-machine interaction, hardware and
software play a major role.
Nowadays, natural user interfaces (NUIs) have gained
attention of the humans. NUI is a type of sensory input
system that is invisible to the user. They allow humans
to interact with the machine in a natural ways like
touch, speech and gesture. The main aim of an NUI
is to create seamless interaction between the human
and machine. In this type of HMI, sensors are used to
capture the human postures and motions. For example,
the Microsoft Kinect sensor captures your body movement and controls the character in the game.
Now, let us learn about domains of AI.
Domains of AI
As we have discussed in the previous segment that human intelligence is composed of various domains like
perception, reasoning and learning. Similarly, Artificial Intelligence is also composed of three domains which are
Data, Computer Vision and Natural Language Processing. They are quite distinct from each other; they together
constitute the concept of Artificial Intelligence.
When we interact with an AI machine, we actually interact with these domains of AI. Human-machine interaction
are done through these three domains of AI:
Domain of AI
Data Computer Vision NLP
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