Artificial intelligence (AI) is the ability of machines to mimic human intelligence and behavior. The document outlines the history, goals, approaches, programming languages, applications, advantages, and disadvantages of AI. It discusses early pioneers like Tesla and Turing and milestones like Deep Blue beating Kasparov at chess in 1997. The goals of AI are to explain and reproduce human intellectual abilities to solve practical problems. Common approaches include symbolic, cognitive simulation, knowledge-based, and statistical methods. Popular programming languages are Python, Java, Lisp, C++ and Prolog. Applications span games, assistants, cars, customer support and more. Advantages include improving lives and decision making while disadvantages include costs, lack of creativity and

1. Topic
Artificial Intelligence

2. Outline
 What is Artificial Intelligence(AI) ?
 Short history of AI
 Goals of AI
 Approaches of implementing AI
 Programming Language
 Application
 Advantage
 Disadvantage
 Reference link

3. What is AI ?
 Artificial = Non-natural , Intelligence = Ability to
understand.
 Capability of machine to imitate intelligence human
behavior.
 Creation of intelligent machine that react like human.

4. History
 1898 : Nikola Tesla’s Radio-controlled vessel.
 1950 : “ Programming a computer playing chess” by
Claude Shanon.
 1950 : “Computing Machinery and Intelligence”
published by Alan Turing. (Turing test)
 1997 : Deep Blue - chess game
 1998 : Furby – Domestic pet robot
 2001 : “Artificial Intelligence ” a film of Steven Spielberg.
 2009 : Driver less car developing by google.
 2011 : Watson - A neural question answering computer.

5. Goals
 Create technology for machine & computer to function
in an intelligent manner.
 As a science : Explain human intellectuals activities &
abilities.
 As a technology : Reproduce those activities & abilities
& use them to social practical problem.

6. Approaches
 Symbolic
 Cognitive simulation
 Logic based
 Knowledge based
 Sub-symbolic
 Embodied intelligence
 Statistical

7. Programming Language
 Python – plenty of useful libraries(numpy ,
scypy , pybrain)
 Java - easy way to code algorithm.
 Lisp – symbolic expression.
 Prolog – pattern match , automatic
backtracking , tree-based data structuring
mechanism
 C++ - fastest , time-sensitive.

8. Application
 Game playing
 Speech recognition
 Virtual personal assistant
 Smart car
 Online customer support
 Spam recognition
 Medical application
 Fraud detection

9. Application

10. Advantage
 Improve our way of life
 Machine will be able to do jobs
 Decision making capabilities
 Use for heavy construction , military
capabilities , personal assistants.
 Comparatively less injuries to human.
 Use for entertainments.

11. Disadvantages
 High cost
 No replication human
 No improvement with experience
 No original creativity
 Unemployment


12. Reference Link
 https://www.forbes.com/sites/gilpress/2016/12/30/a-very-short-history-
of-artificial-intelligence-ai/5/#dd6167b3dfe5
 https://link.springer.com/chapter/10.1007/1-4020-5045-3_1
 https://en.wikipedia.org/wiki/Artificial_intelligence
 https://www.infoworld.com/article/3186599/artificial-intelligence/the-5-
best-programming-languages-for-ai-development.html
 https://content.wisestep.com/advantages-disadvantages-artificial-
intelligence/
 https://beebom.com/examples-of-artificial-intelligence/


13. Any Question ??