Branches of Artificial Intelligence

EktaRaj17 62 views 1 slides Nov 04, 2022
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About This Presentation

This infographic states the 6 branches of Artificial Intelligence. If you want to learn more about artificial intelligence or want to improve your skills in AI, then enroll in the Artificial Intelligence Online Course offered by CETPA Infotech. CETPA Infotech is one of the top finest Artificial Inte...


Slide Content

Branches of Artificial
Intelligence
Expert Systems is an
Artificial Intelligence
(AI)-based system that
mimics and learns how
humans make decisions.
It is primarily utilised in
the medical industry to
run medical facilities and
find viral diseases. For the
study of loans and
investments, it is also
used in the banking
industry.
DEEP
LEARNING
It is the process of applying
neural networks to high
dimensional data in order to
derive insights and create
solutions.
Learn more at:
www.cetpainfotech.com
Mail at:
[email protected]
Deep Learning Machine Learning
Natural Language Processing
RoboticsExpert Systems
Fuzzy Logic
MACHINE
LEARNING
NATURAL LANGUAGE
PROCESSING
EXPERT
SYSTEMS
FUZZY LOGIC
ROBOTICS
It is a highly demanded
branch of AI.
•It can be challenging to
determine if a condition is
true or false in the actual
world, and fuzzy logic
provides the necessary
flexibility for thinking that
can result in inaccuracies
and uncertainties of any
condition.
Natural Language
Processing (NLP) is a field
of Artificial Intelligence (AI)
that makes human
language intelligible to
machines.
A branch of artificial
intelligence called
robotics uses computer
science, mechanical
engineering, and electrical
engineering to design,
build, and use robots.
The face verification
algorithm on Facebook,
autonomous vehicles,
virtual assistants like Siri,
and Alexa operate using
deep learning.
It is the science that makes
it possible for computer
systems and other
machines to process,
examine, and interpret data
in order to find solutions to
the challenges that actually
exist in the world.
Fuzzy logic is used in the
medical fields to solve
complex problems that
involve decision making
It is the technology that is
used by machines to
understand, analyze,
manipulate, and interpret
human languages. It helps
developers to organize
knowledge for performing
tasks such as translation.