Ce diaporama a bien été signalé.
Le téléchargement de votre SlideShare est en cours. ×

ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA

Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Publicité
Prochain SlideShare
Artifical intelligence
Artifical intelligence
Chargement dans…3
×

Consultez-les par la suite

1 sur 29 Publicité
Publicité

Plus De Contenu Connexe

Diaporamas pour vous (20)

Similaire à ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA (20)

Publicité

Plus par Saikiran Panjala (20)

Plus récents (20)

Publicité

ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA

  1. 1. Presenting By ------------- 12####### Under the guidance of ##############
  2. 2. OUT LINE  ABSTRACT  INTRODUCTION  WHAT IS AI  COMPARISON BETWEEN HUMAN INTELLIGENCE AND AI  ARTIFICAL INTELLIGENCE METHODS  MOTIVATION  TECHNOLOGY  APPLICATIONS  EXPLOSIVE GROWTH OF AI  ADVANTAGES  LIMITATIONS  CONCLUSION  REFERENCES
  3. 3. ABSTRACT Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence. But AI does not have to confine itself to methods that are biologically observable. While no consensual definition of Artificial Intelligence (AI) exists, AI is broadly characterized as the study of computations that allow for perception, reason and action.
  4. 4. INTRODUCTION HISTORY :  In the early 1950’s Norbert Wiener was one of the first American observed that the link between human intelligence and machines.  In 1950’s Alan Turing published a landmark paper In which he speculated about the possibility of creating machines with true intelligence.  In 1951 , The Gaming in Artificial intelligence was introduced.  In late 1955 , Newell and Simon developed The Logic Theorist , considered by many to be the first AI program.  In 1956 , John MC carthy regarded as the father of Artificial Intelligence.
  5. 5. WHAT IS AIDEFINITION : 1. Artificial intelligence (AI) is the study of how computer systems can simulate intelligent processes such as learning, reasoning, and understanding symbolic information in context. 2. Computers with the ability to mimic or duplicate the functions of the human brain.
  6. 6. COMPARISONS BETWEEN HUMAN INTELLIENCE AND AI  Human intelligence is analogue as in the form of signals and artificial intelligence is digital, they majorly works in the form of numbers.  Human intelligence is bigger and artificial intelligence as the name suggest is artificial , little and temporary.  Human intelligence is reliable where as artificial intelligence is not.
  7. 7. ARTIFICAL INTELLIGENT METHODS AI methods can be divided into two broad categories: 1. Symbolic AI 2. Computational intelligence
  8. 8. 1. KNOWELDGE BASED SYSTEMS(KBS): A KBS can be defined as a computer system capable of giving advice in a particular domain, utilizing knowledge provided by human expert. 2. NUERAL NETWORKS(NN): NNs are biologically inspired systems consisting of a massively connected network of computational “neurons” organized in layers.
  9. 9.  At present time, There are two main lines of AI research:  Biological study: It deals with the study of humans.  Psychological study: It deals with the problems faced by the world.
  10. 10. AI sometimes described in two ways:  Strong AI: Strong AI is the where the computing machine are created with a perfect intelligence that they could solve each and every problem.  Weak AI: Weak AI is the addition of some newest features added to an existing technology.
  11. 11. MOTIVATION Why Artificial Intelligence?  Artificial machines perform simple monotonous tasks efficiently and reliably, which humans are ill-suited to.  For more complex problems, things get more difficult... Unlike humans, computers have trouble understanding specific situations, and adapting to new situations.
  12. 12. TECHNOLOGY How does Artificial Intelligence work?  Over the past five decades, AI research has mostly been focusing on solving specific problems. Number of solutions have been devised and improved to do so efficiently and reliably.  This explains why the field of Artificial Intelligence is split into many branches, ranging from Pattern Recognition to Artificial Life, including Evolutionary Computation and Planning.
  13. 13. APPLICATIONS FINANCE:  In August 2001, robots beat humans in a simulated financial trading competition.  Some other applications in this section include loan investigation, ATM design, safe and fast banking etc.
  14. 14. MEDICINE:  A Medicine clinic can use AI Systems to organize bed schedules , make a staff rotations, and provide medical information.  AI also application in fields of cardiology,neurology,sonography,complex operations of internal organs etc.
  15. 15. HEAVY INDUSTRIES:  Huge machines involve risk in their manual maintenance and working.  So it becomes necessary part to have an efficient and safe operation agent in their operation.
  16. 16. TELE COMMUNICATIONS: Many telecommunications companies make use of heuristic search in the management of their workforces, For example BT Group has deployed heuristic search in a scheduling application that provides the work schedules of 20,000 engineers.
  17. 17. MUSIC: Scientists are trying to make the computer emulate of the skillful musicians, compositions, performance, music theory, sound processing are some of the major areas on which research in Music and Artificial Intelligence are focusing on. EX: Orchextra, smart music etc.
  18. 18. ROBOTICS:  Robots are physical agents that perform tasks by manipulating the physical World.  Robots can be put into three main categories: manipulators , mobile robots and humanoid.  The base object is the agent who is the “actor”. It is realized in software. Robots are manufactured as hardware. The connection between two is that the control of the robot is a software agent that reads data from the sensors decides to do next and then directs the effectors to act in the physical world.
  19. 19. ANTIVIRUS:  Artificial Intelligence (AI) techniques have played increasingly important role in antivirus detection. At present , some principal artificial Intelligence techniques applied in antivirus detection.  It improves the performance of antivirus detection systems.
  20. 20. GAMING:  In the earlier days gaming technology was not brodence physicist Willy Higginbotham created the first video game in 1958.  It was called “Tennis For Two” and was plan oscilloscope.  But now AI technology has become vast and standard has also been increased. EX: Sudoku , fear, fallout etc.
  21. 21. SOME OTHER APPLICATIONS  Movies  Shipping  Marketing  Satellite controls  Military active control  Nuclear management
  22. 22. THE EXPLOSIVE GROWTH OF AI  Some AI is applicable in almost all fields, they become the needs of our life. It is the reason behind the explosive growth of AI.  The growth can be divided into two parts based on the application area and what purpose the used, they are as follows:  Growth in positive sense  Growth in negative sense
  23. 23. ADVANTAGES  Machines will be able to do jobs that require detailed instructions.  Mental alertness and decision making capabilities.  Use robots for heavy construction, military benefits, or even for personal assistance at private homes.  There will be less injuries and stress to human beings.  scientists have been using AI to test theories and notions about how our brains work
  24. 24. LIMITATIONS  To date, all the traits of human intelligence have not been captured and applied together to spawn an intelligent artificial creature.  Currently, Artificial Intelligence rather seems to focus on lucrative(profit) domain specific applications, which do not necessarily require the full extent of AI capabilities.
  25. 25. CONCLUSION  AI is to solve majority of the problems or to achieve the tasks which we humans directly can’t accomplish. It is for sure that development in this field on computer science will change the complete scenario of the world.
  26. 26. REFERENCES  http://WWW.techopedia.com  http://WWW.slideshare.com BOOKS: Semantic Web and Social Networking-Turing, Berners lee, Godel

×