This document provides an overview of artificial intelligence (AI), including definitions of intelligence and AI, examples of AI applications, issues in developing AI, and success stories. The key points covered are: - Intelligence is defined as the ability to learn and solve problems, and specifically the ability to solve novel problems rationally and act like humans. Artificial intelligence aims to build intelligent entities that can duplicate human brain functions. - AI has applications in video games, puzzles, robots, vehicles, medical diagnosis, and assistance for elderly/disabled people. Knowledge is essential for AI and knowledge comes from human experts. - Developing true non-human intelligence, modeling the brain, and teaching machines human-like thinking present challenges

1. Presented By
Rekha Shrestha
Sadikchya Acharya

2. what
 Intelligence:
◦ “the capacity to learn and solve problems” (Websters
dictionary)
◦ in particular,
 the ability to solve novel problems
 the ability to act rationally
 the ability to act like humans
 Artificial Intelligence
◦ Build and understand intelligent entities or agents
◦ "Making computational models of human behavior“
◦ Computers with the ability to duplicate functions of
human Brains

3. Why AI
 Computer systems will be processing
knowledge as a result the application
areas of computers will increase.
 New tools can be built which have
commercial Values.

4. Application Areas of AI
 AI Video Games
 AI, Games, and Puzzles
 Humanoid robots
 Unmanned vehicles
 Medical diagnosis
 Chemical analysis
 Rescue Robots
 AI and Assistance for the Elderly and People with Disabilities

5. Examples of AI
 Every video game where you play a computer, uses AI. That uses AI for physical
motions.
 Airplanes/space shuttles are probably considered to be using AI for safety.
 sentiment search engines. For example www.clevly.com automatically gathers social
media messages (such as tweets) and uses A.I. techniques to find out whether people
are positive or negative in these tweets
 AI's are being used to analyze data.
 Be it scientific data from which equations must be extracted, tons of financial data to try
to
 predict stock markets or web pages to get better search results.
AI is used in a lot of shape recognition and image manipulation problems.
 Things like optical character recognition used by post sorting centers are intelligent
'learning' algorithms

6. Issues of AI
 Is it possible to create non human
intelligence
 Can we model the brain?
 Can we teach machines to think and
solve problems like humans?

7. AI requires knowledge
 Knowledge is essential
 It is voluminous
 Difficult to characterize
 Constantly changing
 Differs from data by being organized
 Knowledge is provided by persons who
can use
 Can be used in different situation
 AI technique is a method to exploit
knowledge

8. Success stories
 Deep Blue defeated the reigning world chess champion
Garry Kasparov in 1997
 AI program proved a mathematical conjecture (Robbins
conjecture) unsolved for decades
 During the 1991 Gulf War, US forces deployed an AI
logistics planning and scheduling program that involved
up to 50,000 vehicles, cargo, and people
 NASA's on-board autonomous planning program controlled
the scheduling of operations for a spacecraft
 Fuzzy logic
 Robot driving: DARPA grand challenge 2003-2007
 2006: face recognition software available in consumer
cameras

9. Autonomous reasoning

10. Marie game with AI

11. Quantum computer

12. Any queries???