In the field of computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.

1. UNDERSTANDING ARTIFICIAL
INTELLIGENCE
&
IT’S FUTURE SCOPE
“A s an id ea to make a b rig ht an d easy fu tu re”

2. WHAT IS
ARTIFICIAL
INTELLIGENCE?
T h e w a y t o g r e a t f u t u r e
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3. The theory and development of computer systems able to
perform tasks normally requiring human intelligence, such as
visual perception, speech recognition, decision-making, and
translation between languages.
 Using Computer to solve problems.
 Making automated devices
 To help human for time management and perfection
 Typically Require Intelligence
WHAT IS ARTIFICIAL
INTELLIGENCE?
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4. WHAT DOES IT
MEAN FOR
SOMETHING
TO BE
ARTIFICIALLY
INTELLIGENT ?
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5. WHAT MAKES AN ARTIFICIAL
INTELLIGENCE WORK?
. . . T h e b a s e o f A r t i f i c i a l I n t e l l i g e n c e . . .
 Block Chain Technology
 Artificial Neural Networks
 Image Processing
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6. BLOCK CHAIN TECHNOLOGY
IN ARTIFICIAL INTELLIGENCE
Linear, Chronological Order of Blocks
containing hash of previous block
 Using Computer to solve problems.
 Making automated devices
 To help human for time management
and perfection
 Typically Require Intelligence
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7. NEURAL NETWORK
IN ARTIFICIAL INTELLIGENCE
• Pattern Recognition
• Neural Transformation like Biological
form
• Task Recognition
• Work like Bio-Receptor
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Models Inspired by human brain to carry
out Various Functions

8. IMAGE PROCESSING
IN ARTIFICIAL INTELIGENCE
Method used to make a computer understand the
image.
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 Pixel Recognition
 Use of Biometric techniques to
enhance the perfectness.
 Image Matching
 3D Recognition

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10. EXAMPLES OF ARTIFICIAL INTELLIGENCE(AI)
Smart Assistant Humanoid Robots Language Translation Facial Recognition
Automated Responder Online customer support Process Automation Sales and Business Forecasting
Security Surveillance Smart Device Automated Insights Smart Searches
Personalization as a service Product Recognition Fraud Detection Recommendation
Dynamic Price Optimization Content Curation Personalization of news feed Pattern and image recognition
Language Recognition Digital Marketing Self Driving Vehicles Real-time bidding
Data Analysis Customer Segmentation Social Semantics Automated Web Designing
Spam Filter Smart Email-Configuration Voice to Text Features Predictive Customer Service
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11. THANK YOU
Let ’s be the part of AI based future
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