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Understanding artificial intelligence and it's future scope

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Understanding artificial intelligence and it's future scope

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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.

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.

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Understanding artificial intelligence and it's future scope

  1. 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. 2. WHAT IS ARTIFICIAL INTELLIGENCE? T h e w a y t o g r e a t f u t u r e 2
  3. 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? 3
  4. 4. WHAT DOES IT MEAN FOR SOMETHING TO BE ARTIFICIALLY INTELLIGENT ? 4
  5. 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 5
  6. 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 6
  7. 7. NEURAL NETWORK IN ARTIFICIAL INTELLIGENCE • Pattern Recognition • Neural Transformation like Biological form • Task Recognition • Work like Bio-Receptor 7 Models Inspired by human brain to carry out Various Functions
  8. 8. IMAGE PROCESSING IN ARTIFICIAL INTELIGENCE Method used to make a computer understand the image. 8  Pixel Recognition  Use of Biometric techniques to enhance the perfectness.  Image Matching  3D Recognition
  9. 9. 9
  10. 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 10
  11. 11. THANK YOU Let ’s be the part of AI based future 11

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