The document discusses the history and various approaches to artificial intelligence, including neural networks, expert systems, and genetic programming. It also examines applications such as speech recognition, game playing, and pattern recognition. Additionally, it addresses potential dangers of advanced AI, such as androids displacing human jobs or nanomachines achieving superintelligent computing power. The document concludes by considering whether developing powerful AI technologies is something researchers "should" pursue.

1. ARTIFICIAL INTELLIGENCE

2. INTELLIGENCE

3. INTELLIGENCE ! Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.

4. SYNTHETIC INTELLIGENCE Artificial intelligence is “the study and design of intelligent agents .

5. INTELLEGENT AGENTS It is a system that perceives its environment and takes actions which maximize its chances of success. AI can be seen as a realization of an abstract intelligent agent i.e AIAI.

6. INTELLEGENT AGENTS Among the traits that researchers hope machines will exhibit are reasoning , knowledge , planning , learning , communication , perception and the ability to move and manipulate objects .

7. HISTORY

8. HISTORY In the early 80s, AI research was revived by the commercial success of expert systems ; applying the knowledge and analytical skills of one or more human experts. By 1985 the market for AI had reached more than a billion dollars.

9. A Question- ‘ CAN’ it be done ??

10. Problems of AI

11. Deduction, Reasoning, Problem solving Early AI researchers imitated the process of step-by-step reasoning that human beings use when they solve puzzles, play board games, or make logical deductions. AI research had also developed successful methods for dealing with uncertain or incomplete information.

12. Deduction, Reasoning, Problem solving Human beings solve most of their problems using unconscious reasoning, rather than the conscious, step-by-step deduction that early AI research was able to model. The problem of unconscious problem solving, which forms part of our commonsense reasoning , is largely unsolved.

13. Unconscious Knowledge Much of what people know isn't represented as "facts" or "statements" that they could actually say out loud. They take the form of intuitions or tendencies and are represented in the brain unconsciously. This unconscious knowledge informs, supports and provides a context for our conscious knowledge.

14. Unsupervised Learning Find a model that matches a stream of input "experiences", and be able to predict what new "experiences" to expect.

15. Motion & Manipulation Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation , with sub-problems of localization (knowing where you are), mapping (learning what is around you) and motion planning (figuring out how to get there).

16. Approaches to AI

17. Cybernetics & Brain Simulation A number of researchers have explored the connection between neurology , information theory , and cybernetics . Some of them built machines that used electronic networks to exhibit rudimentary intelligence.

18. Artificial Neural Networks It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation . In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.

19. Knowledge based AI

20. Expert Systems An expert system , also known as a knowledge based system, is a computer program that contains the knowledge and analytical skills of one or more human experts, related to a specific subject.

21. Expert Systems The most common form of expert system is a computer program , with a set of rules , that analyzes information about a specific class of problems, and recommends one or more courses of user action. The expert system may also provide mathematical analysis of the problem(s).

22. So the answer is This ‘CAN’ be done !!

23. Applications of AI

24. Welcome to the FUTURE

25. Speech Recognition While it is possible to instruct some computers using speech, most users have gone back to the keyboard and the mouse as still more convenient.

26. Understanding Natural Language Just getting a sequence of words into a computer is not enough. The computer has to be provided with an understanding of the domain the text is about, and this is presently possible only for very limited domains. HELLO !

27. Conversation between ME & ELIZA Eliza: Hello. I am ELIZA. How can I help you? ME: hello! I am NIKET. Eliza: How do you do. Please state your problem. ME: I am in a dilemma. Eliza: How long have you been in a dilemma? ME: since a long time . Eliza: Please go on. ME: I want to know if GOD exists . Eliza: Do you wish that god exists? ME: yes Eliza: You are sure? ME: yes Eliza: You are sure? ME: yes Eliza: You are sure? ME: yes Eliza : You are sure?

28. Game Playing There is some AI in them, but they play well against people mainly through brute force computation--looking at hundreds of thousands of positions.

29. Game Playing The most obvious is in the control of any NPCs in the game, although scripting is currently the most common means of control.

30. Pattern Recognition For example, a vision program may try to match a pattern of eyes and a nose in a scene in order to find a face. More complex patterns, e.g. in a chess position are also studied. These more complex patterns require quite different methods than do the simple patterns.

31. Genetic Programming Genetic programming is a technique for getting programs to solve a task by mating random Lisp programs and selecting fittest in millions of generations.

32. DANGERS of AI I Hate HUMANS !!

33. SUPERINTELLIGENCE Deep Blue chess program which beat world chess champion. Deep Blue searches over 200 million moves per second.. It evaluates each position and makes its choice of move based on the evaluation algorithm.

34. Conflicts between Androids and Humans Androids will displace humans from their jobs. The result may be attempts by some humans to destroy androids.

35. NANOMACHINES Human-surpassing computing power is usually estimated at 10^17 ops/sec…… even primitive nanocomputing will allow to put this amount of computing power in your shirt pocket, and power it for ten watts

36. NANOMACHINES This one an electron micrograph of an actual T4 bacteriophage infecting a bacterium. You can see its little cell puncturing device penetrating the bacterium.

37. Question – ‘SHOULD’ we do this ?

38. Hey you ! Do my homework . You are gone buddy !

39. By: NIKET SINGH THANKS FOR LISTENING !