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SREE VENKATESWARA
COLLEGE OF ENGINEERING
(Affiliated to JNTU & Approved by A.I.C.T.E New
Delhi Nellore-524 001 Andhra Pradesh, India
PRESENTED BY
Y.CHAKRINITHESH
3RD CSE
P.V.SANATH KUMAR
3RD CSE
ARTIFICIAL INTELLIGENCE
INDEX
WHAT IS AN ARTIFICIAL INTELLIGENCE
HISTORY OF ARTIFCIAL INTELLIGENCE
COMPARISION BETWEEN THE HUMAN AND ARTIFICAL
INTELLIGENCE
BRANCHES OF ARTIFICIAL INTELLIGENCE
APPLICATION OF ARTIFCIAL INTELLIGENCE
ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE
DIS –ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE
CONCLUSION
WHAT IS AN ARTIFICIAL INTELLIGENCE
Artificial intelligence is intelligence exhibited by machines
In computer science, the field of AI research defines itself as the study of
intelligent agents any device that perceives its environment and takes
actions that maximize its chance of success at some goal
HISTORY OF ARTIFCIAL INTELLIGENCE
 1943 MC CULLOCH & PITTS: Boolean Circuit Model Of The Brain
 1950 The Truing “COMPUTING MACHINERY AND INTELLIGENCE”
 1956 Dartmouth Meeting: “ARTIFICIAL INTELLIGENCE” Adopted
 1965 Robinson’s Complete For Logical Reasoning
 1979 Early Development Of Knowledge-based System
 1988 Expert System Industry Boom
 1995 Neural Network Return it Popularity
 2003 Human Level AI Back On The Agendas
 2006 Face Recognition Software
 2011 There Came Question Answering Robot
HUMAN ARTIFICIAL INTELLIGENCE
Humans Life Is Not Mechanical
Machines do not have life, as they are
mechanical.
Humans can do anything original Machines Cannot Do Anything Original
Humans have the capability to
understand situations Machines Do Not Have ThatCapability.
 While humans behave as per their
consciousness
machines just perform as they are taught.
vs
BRANCHES OF ARTIFICIAL INTELLIGENCE
Machine Learning
Natural Language Processing
Expert Systems
Speech
Vision
Planning
Robotics
MACHINE LEARNING
 Machine learning is the subfield of computer science that gives
computers the ability to learn without being explicitly programmed
EXAMPLE: -optical character recognition (ocr)
NATURAL LANGUAGE PROCESSING
Natural Language Processing(NLP) refers to AI method of communicating
with an intelligent systems using a natural language such as English
EXPERT SYSTEMS
 In artificial intelligence an expert system is a computer system that
emulates the decision-making ability of a human expert.
SPEECH
Speech-generating devices (SGDs), also known as voice output
communication aids, are electronic augmentative and alternative
communication(AAC) systems used to supplement or replace speech or
writing for individuals with severe speech impairments enabling them to
verbally communicate.
VISION
Artificial intelligence and vision share other topics such as pattern recognition and
learning techniques.
Example:-IMAGE RECOGNITION
PLANNING
Planning is a key ability for intelligent systems, increasing their
autonomy and flexibility through the construction of sequences of
actions to achieve their goals
ROBOTICS
Robot cists are nowhere near achieving this level of artificial
intelligence, but they have made a lot of progress with more limited AI.
Today's AI machines can replicate some specific elements of intellectual
ability.
APPLICATION OF ARTIFICIAL
INTELLIGENCE
Computer science
Education
Online and telephone customer service
Toys
Games
COMPUTER SCIENCE
 AI researchers have created many tools to solve the most difficult
problems in computer science. time sharing, interactive interpreters,
linked list data structure
EDUCATION
 There have also been a rise of intelligent tutoring systems, or ITS, in higher
education. For example, an ITS called SHERLOCK teaches Air Force
technicians to diagnose electrical systems problems in aircraft.
ONLINE AND TELEPHONE CUSTMER
SERVICE
 Currently, major companies are investing in AI to handle difficult customer
in the future. Google's most recent development analyzes language and
converts speech into text. The platform can identify angry customers
through their language and respond appropriately.
TOYS
 The 1990s saw some of the first attempts to mass-produce
domestically aimed types of basic Artificial Intelligence for education, or
leisure
GAMES
In video games artificial intelligence is used to generate intelligent behaviours
primarily in non-player characters (NPCs), often simulating human-like intelligence.
ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE
Error Reduction
Difficult Exploration
Daily Application
Digital Assistants
Repetitive Jobs
No Breaks
DIS-ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE
High Cost
No Replicating Humans
No Improvement with Experience
No Original Creativity
Unemployment
CONCLUSION
The Artificial Intelligence In Our Daily
Technology Based Life It Has Good &
Bad Impact It Expanding Throughout
Technology In Our Daily life Super
Intelligent Artificial Intelligence Will Be
Created Will Be Available To Every
Category Human
SREE VENKATESWARA COLLEGE AI Report on Artificial Intelligence
SREE VENKATESWARA COLLEGE AI Report on Artificial Intelligence

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SREE VENKATESWARA COLLEGE AI Report on Artificial Intelligence

  • 1. SREE VENKATESWARA COLLEGE OF ENGINEERING (Affiliated to JNTU & Approved by A.I.C.T.E New Delhi Nellore-524 001 Andhra Pradesh, India PRESENTED BY Y.CHAKRINITHESH 3RD CSE P.V.SANATH KUMAR 3RD CSE ARTIFICIAL INTELLIGENCE
  • 2. INDEX WHAT IS AN ARTIFICIAL INTELLIGENCE HISTORY OF ARTIFCIAL INTELLIGENCE COMPARISION BETWEEN THE HUMAN AND ARTIFICAL INTELLIGENCE BRANCHES OF ARTIFICIAL INTELLIGENCE APPLICATION OF ARTIFCIAL INTELLIGENCE ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE DIS –ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE CONCLUSION
  • 3. WHAT IS AN ARTIFICIAL INTELLIGENCE Artificial intelligence is intelligence exhibited by machines In computer science, the field of AI research defines itself as the study of intelligent agents any device that perceives its environment and takes actions that maximize its chance of success at some goal
  • 4. HISTORY OF ARTIFCIAL INTELLIGENCE  1943 MC CULLOCH & PITTS: Boolean Circuit Model Of The Brain  1950 The Truing “COMPUTING MACHINERY AND INTELLIGENCE”  1956 Dartmouth Meeting: “ARTIFICIAL INTELLIGENCE” Adopted  1965 Robinson’s Complete For Logical Reasoning  1979 Early Development Of Knowledge-based System  1988 Expert System Industry Boom  1995 Neural Network Return it Popularity  2003 Human Level AI Back On The Agendas  2006 Face Recognition Software  2011 There Came Question Answering Robot
  • 5. HUMAN ARTIFICIAL INTELLIGENCE Humans Life Is Not Mechanical Machines do not have life, as they are mechanical. Humans can do anything original Machines Cannot Do Anything Original Humans have the capability to understand situations Machines Do Not Have ThatCapability.  While humans behave as per their consciousness machines just perform as they are taught. vs
  • 6. BRANCHES OF ARTIFICIAL INTELLIGENCE Machine Learning Natural Language Processing Expert Systems Speech Vision Planning Robotics
  • 7. MACHINE LEARNING  Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed EXAMPLE: -optical character recognition (ocr)
  • 8. NATURAL LANGUAGE PROCESSING Natural Language Processing(NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English
  • 9. EXPERT SYSTEMS  In artificial intelligence an expert system is a computer system that emulates the decision-making ability of a human expert.
  • 10. SPEECH Speech-generating devices (SGDs), also known as voice output communication aids, are electronic augmentative and alternative communication(AAC) systems used to supplement or replace speech or writing for individuals with severe speech impairments enabling them to verbally communicate.
  • 11. VISION Artificial intelligence and vision share other topics such as pattern recognition and learning techniques. Example:-IMAGE RECOGNITION
  • 12. PLANNING Planning is a key ability for intelligent systems, increasing their autonomy and flexibility through the construction of sequences of actions to achieve their goals
  • 13. ROBOTICS Robot cists are nowhere near achieving this level of artificial intelligence, but they have made a lot of progress with more limited AI. Today's AI machines can replicate some specific elements of intellectual ability.
  • 14. APPLICATION OF ARTIFICIAL INTELLIGENCE Computer science Education Online and telephone customer service Toys Games
  • 15. COMPUTER SCIENCE  AI researchers have created many tools to solve the most difficult problems in computer science. time sharing, interactive interpreters, linked list data structure
  • 16. EDUCATION  There have also been a rise of intelligent tutoring systems, or ITS, in higher education. For example, an ITS called SHERLOCK teaches Air Force technicians to diagnose electrical systems problems in aircraft.
  • 17. ONLINE AND TELEPHONE CUSTMER SERVICE  Currently, major companies are investing in AI to handle difficult customer in the future. Google's most recent development analyzes language and converts speech into text. The platform can identify angry customers through their language and respond appropriately.
  • 18. TOYS  The 1990s saw some of the first attempts to mass-produce domestically aimed types of basic Artificial Intelligence for education, or leisure
  • 19. GAMES In video games artificial intelligence is used to generate intelligent behaviours primarily in non-player characters (NPCs), often simulating human-like intelligence.
  • 20. ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE Error Reduction Difficult Exploration Daily Application Digital Assistants Repetitive Jobs No Breaks
  • 21. DIS-ADVANTAGES OF THE ARTIFICIAL INTELLIGENCE High Cost No Replicating Humans No Improvement with Experience No Original Creativity Unemployment
  • 22. CONCLUSION The Artificial Intelligence In Our Daily Technology Based Life It Has Good & Bad Impact It Expanding Throughout Technology In Our Daily life Super Intelligent Artificial Intelligence Will Be Created Will Be Available To Every Category Human