Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Artificial Intelligence - Lec 1 by Harsh Pandya

893 views

Published on

Lecture 1 on Artificial Intelligence as taught by Harsh Pandya

Published in: Education
  • Be the first to comment

Artificial Intelligence - Lec 1 by Harsh Pandya

  1. 1. Duke TIP (GaTech Campus) Instructor: Harsh Pandya Teaching Assistant: Taylor Pospisil
  2. 2. Who is Intelligent? And why? • What is Intelligence? • What is Artificial Intelligence? • History of AI
  3. 3. Intelligence  Knowledge  Logical  Reasonable  Or just Human?
  4. 4. Artificial Intelligence Designing machines that:  Think like human  Act like human  Think Rationally  Act Rationally  Being rational means maximally achieving your pre-defined goals
  5. 5. Why not mimic human brain? “Brains are to Intelligence as wings are to flight” Brains are good at rational thinking but not perfect
  6. 6. The Turing Test
  7. 7. Footprints of AI Dates back to 8th century BC, greek mythology. Hephaestus created Talos to guard crete.
  8. 8. Footprints of AI  Aristotle 4th century BC, developed an informal logic system  Descartes, 17th century AD proposed animal bodies are complex machines  Blaise Pascal, 1642, first mechanical digital calculator  19th century, George Boole developed binary algebra better known as boolean algebra  Charles Babbage worked on programmable calculators
  9. 9. Footprints of AI  1943, McCulloch & Pitts: Boolean circuit model of brain  1950, Alan Turing published “Computing Machinery and Intelligence” introduced concept of learning in machines by letting them alter their program  1950s, Samuel's checkers program, Newell & Simon's Logic Theorist, Gelernter's Geometry Engine  1956: Dartmouth meeting: the term “Artificial Intelligence” adopted  1965: Robinson's complete algorithm for logical reasoning
  10. 10. Footprints of AI  1980-88: Expert systems industry booms  1988-93: Expert systems industry busts: “AI Winter”  1990s: Resurgence of probability, focus on uncertainty  Neural Networks became more popular, Agents and learning systems bloomed  1997, Deep Blue beats Gary Kasparov
  11. 11. Realms of AI Introducing the sub-domains
  12. 12. Natural Language processing  Automatics Speech recognition  iPhone Siri / OK Google!  Text to Speech converter (TTS)  Machine Translation (Language Transaltor)  e.g. Google Translator  Spam Filtering  Web search (Google!)
  13. 13. Computer Vision  Object and Face recognition  Motion tracking  Mapping unknown environment  Extended vision – UV, IR, X-ray
  14. 14. Robotics  Autonomous vehicles  Humanoids  Petman, iCUB, THOR  Prosthetics  Sports/Athletics  Personal robots  Cyborg
  15. 15. Game Playing  Simple games  Tic Tac Toe, Pacman  Kasparov vs Deep blue  Modern Computer & Console games  IBM Watson winning Jeopardy
  16. 16. Decision making systems  Scheduling,  e.g. airline routing, military  Route planning, e.g. Google maps  Medical diagnosis  Web search engines  Credit card fraud detection  Product recommendations / Pop up ads
  17. 17. What AI can and cannot  Play sports like soccer/Table tennis?  Play a decent game of Jeopardy?  Drive safely along a curving mountain road?  Buy a week's worth of groceries on the web?  Discover and prove a new mathematical theorem?  Converse successfully with another person for an hour?  Perform a surgical operation?  Put away the dishes and fold the laundry?  Translate spoken Chinese into spoken English in real time?  Write an intentionally funny story?  Understand human emotions and imitate them?
  18. 18. What AI can and cannot  Detect cancer?  Plan a journey to Andromeda galaxy?  Surf the internet?  Create aesthetic music?  Write a creative poetry?
  19. 19. Time-warp  What is Intelligence?  Artificial Intelligence & its classification  Turing test  History of AI  Subdomains of AI  What AI can and cannot
  20. 20. Questions?

×