John McCarthy is considered the founder of the field of artificial intelligence. In 1955, he organized the Dartmouth conference which brought together leading researchers and laid the foundation for the field of AI. McCarthy was a professor of computer science at Stanford University. Some of the key programming languages developed for AI include Lisp, Prolog, and STRIPS. The applications of AI include natural language processing, expert systems, planning and robotics, machine learning, and game playing.

2. John McCarthy
 “The science and engineering of making intelligent machines”.
 He was the first to introduce the term Artificial Intelligence.
 “Dartmouth conference”-On August 31,1955 he called a conference that
got all the main people in the field of AI together to lay the foundation for
the AI industry.
 Professor of Computer Science at Stanford university
 M. L. Minsky, N. Rochester, and C.E. Shannon.

3. History of A.I.

4. History of A.I.

5. Weak A.I. Strong A.I.
Types of A.I.

6. Can AI System
Work As Efficient
As Human
Brain?????

7. Languages
Artificial intelligence researchers have developed several specialized
programming languages for artificial intelligence which include IPL,
Lisp, Prolog, STRIPS, Planner, POP-11 etc.

8. Comparison
LISP
Functional language
General purpose
Handles wide variety of tasks, easier to use
Don’t support compared to prolog
PROLOG
Logical language
Specific uses
Smaller language, easier to learn
Supports multidirectional reasoning

9. Parent disciplines of AI:
It is a broad field with so many subareas.

10. Applications of AI:
Natural Language Understanding
Expert Systems
Planning and Robotics
Machine Learning
Game Playing

11. Natural Language Processing

12. Modes of communication
 Text based.
 Dialogue based.

13. Speech Recognition
 Process of converting sound signal
captured by microphone or
mobile/telephone to a set of words.
 70-100 words / min with accuracy of 90%

14. ComputerVision
 Ability of a machine to extract
information from an image that is
necessary to solve a task
 Image Acquisition
 Image Processing
 Image Analysis
 Image understanding

15. Intelligent Robot
 Tend to mimic
human sensing and
decision making
abilities so that they
can adopt themselves
to certain conditions
and modify their
actions.

16. Expert Systems
 These are Softwares
used for decision
making .
 Automated
Reasoning and
Theorem Proving.
 Troubleshooting
Expert Systems.
 Stock Market Expert
System.

17. Fields of AI
Computer science:
 Graphical User Interface
 Automatic Storage management
 Object Oriented Programming
 Data miming
 computer gaming
 Telecommunication:
 Automated Online Assistants
 Voice dialing
 Speech Recognization

18. Fields of AI
Aviation & Automation:
 NASA's fight research centre
 Voice recognition in fighter
jets
 Directions to A.I pilots
through air traffic controllers
 Automatic Gearing System in
Cars

19. Fields of AI
Robotics:
 Assembling Robots
 Welding Robots
 Behavior based
robotics
 Dancing Robots
 Robot navigation

20. Daily life applications
 Home Security
 Bank
 Post office
 Websites
 Digital cameras
 News and
publishing
 Financial trades
 Health and medicine
 Games and toys

21. How AI is different????????
Artificial Intelligence
Non Creative
Precise
Consistency
Multitasking
Natural Intelligence
Creative
May Contain Error
Non Consistent
Can’t Handle

22. Drawbacks of A.I
 Limited Ability
 Slow Real Time
Response
 Can’t Handle
Emergency Situation
 Difficult code
 High Cost

23. Any
Questions