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Presented By
Rekha Shrestha
Sadikchya Acharya
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
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.
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
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
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?
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
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
Autonomous reasoning
Marie game with AI
Quantum computer
Any queries???

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Artificial intelligence presentation

  • 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