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THE DOMAINS OF
ARTIFICIAL INTELLIGENCE
BY TANISH BHOWMICK
CLASS & SEC:- 9/G
ROLL NO:- 33
Artificial Intelligence becomes intelligent
according to the training which it gets. For
training, the machine is fed with datasets.
According to the applications for which the AI
algorithm is being developed, the data which is
fed into it changes.
TYPES OF DOMAINS IN AI
THREE DOMAINS ARE THERE:-
 DATA
 COMPUTER VISION (CV)
 NATURAL LANGUAGE PROCESSING (NLP)
DATA COMPUTER VISION NATURAL LANGUAGE
PROCESSING (NLP)
DATA NATURAL LANGUAGE PROCESSING
(NLP)
COMPUTER VISION
(CV)
• Data sciences is a domain of AI
related to data systems and
processes, in which the system
collects numerous data, maintains
data sets and derives
meaning/sense out of them.
EXAMPLES:-
• Audio Data:- Voice recognition,
Natural language learning
• Video or image data :- Computer
Vision
• Textual data :- Classification
systems, Natural language
Learning, Decision making
• Big Data:- Predictions, Insights,
Forecasts, Decision Making
• It is a domain of AI that depicts the
capability of a machine to get and
analyse visual information and
afterwards predict some decisions
about it. That is spoken and written
by people, and natural language
processing (NLP) attempts to
extract information from the
spoken and written word using
algorithms.
EXAMPLES:-
• Email Filters
• Smart assistants
Components:-
• Natural language Understanding
(NLU)
• Natural Language Generation
• Natural Language Processing,
abbreviated as NLP, is a branch of
artificial intelligence that deals
with the interaction between
computers and humans using the
natural language.
EXAMPLES:-
• Self-Driving cars/ Automatic Cars
• Face Lock in Smartphones
• The Automotive Industry
• Disaster Relief and Emergency
Situations
SOFIA (ROBOT)
CONCLUSION :- There are various uses and tasks
domains of ARTIFICIAL INTELLIGENCE in the
world today. Almost every application is designed
with the incorporation of ARTIFICIAL
INTELLIGENCE PROGRAMMING featuers that
attracts traffic and increase user experience. The
application of AI in symbolic mathematics and
theorem proving has paved the way of technology
today
THANK YOU

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Domains of Artificial Intelligence

  • 1. THE DOMAINS OF ARTIFICIAL INTELLIGENCE BY TANISH BHOWMICK CLASS & SEC:- 9/G ROLL NO:- 33 Artificial Intelligence becomes intelligent according to the training which it gets. For training, the machine is fed with datasets. According to the applications for which the AI algorithm is being developed, the data which is fed into it changes.
  • 2. TYPES OF DOMAINS IN AI THREE DOMAINS ARE THERE:-  DATA  COMPUTER VISION (CV)  NATURAL LANGUAGE PROCESSING (NLP) DATA COMPUTER VISION NATURAL LANGUAGE PROCESSING (NLP)
  • 3. DATA NATURAL LANGUAGE PROCESSING (NLP) COMPUTER VISION (CV) • Data sciences is a domain of AI related to data systems and processes, in which the system collects numerous data, maintains data sets and derives meaning/sense out of them. EXAMPLES:- • Audio Data:- Voice recognition, Natural language learning • Video or image data :- Computer Vision • Textual data :- Classification systems, Natural language Learning, Decision making • Big Data:- Predictions, Insights, Forecasts, Decision Making • It is a domain of AI that depicts the capability of a machine to get and analyse visual information and afterwards predict some decisions about it. That is spoken and written by people, and natural language processing (NLP) attempts to extract information from the spoken and written word using algorithms. EXAMPLES:- • Email Filters • Smart assistants Components:- • Natural language Understanding (NLU) • Natural Language Generation • Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. EXAMPLES:- • Self-Driving cars/ Automatic Cars • Face Lock in Smartphones • The Automotive Industry • Disaster Relief and Emergency Situations
  • 5. CONCLUSION :- There are various uses and tasks domains of ARTIFICIAL INTELLIGENCE in the world today. Almost every application is designed with the incorporation of ARTIFICIAL INTELLIGENCE PROGRAMMING featuers that attracts traffic and increase user experience. The application of AI in symbolic mathematics and theorem proving has paved the way of technology today