Artificial intellegence ppt
15 likes2,279 views
Artificial intelligence (AI) is the study of intelligent machines and computer systems that can exhibit human-like intelligence. Some key applications of AI include planning, pattern recognition, robotics, and artificial neural networks. While today's AI systems can perform tasks like face recognition and machine translation, they still cannot understand language as robustly as humans or interpret arbitrary visual scenes. Future advances in AI may allow greater use of expert systems, AI research assistants, and machines that can pass the Turing Test.
Artificial intellegence ppt
- 1. 1
- 2. TOPICS Page No. What is an Intelligence?.......................3 What is AI?.......................................5 Ability to solve problems......................9 Applications....................................10 Artificial Neural Network(ANN)................ Limitations......................................18 What can AI systems not do yet?............19 Future of AI Technology.......................20
- 3. 3
- 4. There are three kinds of Intelligence: 1.One kind understands for it self, 2.Another appreciates what others can understand, 3.Third understands neither for itself nor through others. Intelligence relates to task involving higher mental processes. E.g.- Creativity,Solving problems,Pattern recognition,Classification,Learning, Language Processing,etc. Intelligent machine is a system with intelligence which is respected to behave as intelligently as human. 4
- 5. The term ‘Artificial Intelligence’ was first coined by McCarthy in 1956. AI is the branch of computer science and engineering of making intelligent machines especially intelligent computer programs. AI also includes the fields like Mathematics,Psychology,Philosophy,Biology, Linguistics,etc. According to Philosophy,it attempts to define the meaning of either Artificial or Intelligence. 5
- 6. 6
- 7. AI is the study of mental facilities through the use of computational models. Elaine Rich and Kevin Knight said that AI is the study of how to make computers do things at which at the moment,people do better. AI is a system with intelligence which is expected to behave as intelligently as HUMAN. 7
- 8. Searching technics to solve a problem: 1.Breadth-First Search 2.Depth-First Search 3.Heuristic Search 8
- 9. AI systems are in everyday use for identifying credit card fraud , for advising doctors , for recognizing speech and in helping complex planning task. Contents: • Planning • Pattern Recognition • Ontology • Robotics • Epistemology • Artificial Life • Artificial Neural Network 9
- 10. 10
- 11. PLANNING: • Planning Programs start with general facts about the world and facts about particular situation and statement of a goal. PATTERN RECOGNITION: • Make senses in what it sees and hears. • The two major divisors of pattern recognition are (i)vision and (ii)sound. 11
- 12. Pattern Recognize vision: • It’s goal is to get a computer to recognize pictures so that it can recognize objects in its surrounding that would be helpful in robotics. Pattern Recognize Sound: • Its goal is to recognize sound which is helpful to produce a new technologies in which a person can interact with a computer by talking. 12
- 13. ONTOLOGY: • Ontology is the study of what objects are and what are they made of. • It is a science or a study of being: specially a branch of metaphysics. ROBOTICS: • Robotics is the study of how to design, built, use and work with robots. • Robots are mechanical devices that can move and react to sensory input giving them some degree of autonomous control. 13
- 14. 14
- 15. EPISTEMOLOGY: • Epistemology is a study of knowledge that are required for solving problems in the world. • It is divided into two categories: propositional knowledge and personal knowledge. • That deals with the branch of philosophy concerned with the Nature and scope of knowledge. 15
- 16. ARTIFICIAL LIFE: • Artificial life is a field of scientific study that attempts to model living biological systems through complex algorithms. • Main goal of artificial-life research is to construct living systems out of non-living parts. ARTIFICIAL NEURAL NETWORK(ANN): • Neural Network is a computational system inspired by the Structure , Processing Method and Learning Ability of a brain. • In some cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network. 16
- 17. It is composed of interconnecting artificial neurons(means programming constructs that mimic the properties of biological neurons). 17
- 18. 18
- 19. 19 1. Aerospace & Automotive 2. Banking & Credit card activity checking 3. Defense 4. Electronics & Entertainment 5. Financial & Insurance 6. Industrial & Manufacturing 7. Medical 8. Oil & Gas 9. Securities 10.Transportation
- 20. AI is used at the following fields:: • Medicines • Artificial Nose • Military • Game AI • Natural Language Processing(NLP) • Expert Systems 20 Use of AI
- 21. • In computer vision,systems are capable of face recognition. • In Natural language processing,there are systems which are capable of simple machine translation. • Today’s Expert systems can carry out medical diagnosis in a narrow domain. 21
- 22. • Understand natural language robustly. e.g., read and understand articles in a Newspaper. • Surf the web. • Interpret an arbitrary visual scene. • Learn a natural language. • Construct plans in dynamic real-time domains. 22
- 23. A Greater Use of Expert Systems. Research assistants. The Turing Test. A Greater Use of Expert Systems: Today Expert System get success as a diagnostic in medicine and mechanics. What kinds of dishes can one make tonight with the food in the refrigerator? Input the foods into a cook expert system and find it out. 23
- 24. 24 • A pet expert system could ask some questions related to person’s personality so that it can conclude the types of animals that would be suited for them.
- 25. Research Assistant • The assistant can understand what one is looking for, which requires natural language processing. The turing test • In 1950,Alan Turing had given this test for determining whether a machine can think. • There are two rooms, A and B. One of the rooms contains a computer another contains a human. 25
- 26. The interrogator is outside the room and does not know which one is a computer. To pass the Turing test, the machine has to fool the interrogator into believing that it is human. 26
- 27. 27