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1. Timeline
2. What is Artificial Intelligence?
3. Artificial Neurons
4. Expert Systems
5. Machine Learning
6. The AI Effect
7. Applications
8.Two Sides Of Coin
9. Summary
10. References
Antiquity
• Thinking machines and artificial beings appear in Greek myths,
• such as Talos of Crete,
• the bronze robot of Hephaestus,
• And Pygmalion's Galatea.
Antiquity 1956
• The term Artificial Intelligence was coined at a conference on the
campus of Dartmouth College in the summer of 1956.
• John McCarthy, Marvin Minsky, became the leaders of AI research
for many decades.
Antiquity 1956 1997
• On 11 May 1997, Deep Blue became the first computer chess-
playing system to beat a reigning world chess champion, Garry
Kasparov.
Antiquity 1956 1997 2011
• In 2005, a Stanford robot won the DARPA Grand Challenge by
driving autonomously for 131 miles along an unrehearsed desert
trail.
• In February 2011, in Jeopardy! , IBM'sWatson, defeated the two
greatest Jeopardy champions, Brad Rutter and Ken Jennings.
Intelligence =
the ability to acquire and apply knowledge and skills,
i.e. to Learn and Act.
Artificial Intelligence =
To make computers acquire and apply knowledge and skills,
i.e. to Learn and Act.
Dendrites ->
Soma ->
Axon ->
<- Weighted Inputs
<- Summation Function
<- Output
Biological
Neuron
Artificial
Neuron
• an Expert System is a computer system that emulates the
decision - making ability of a human expert.
• The Algorithms are represented primarily by IF-THEN rules rather
than through conventional procedural code.
• An expert system is divided into two sub-systems:
• Knowledge base - represents facts and rules.
• Inference engine - applies the rules to the known facts to deduce
new facts.
• Making such algorithms for Computers, so that it can Learn
from Data.
• Example - system could be trained on email messages to
learn to distinguish between spam and non-spam
messages.
• Example - in which printed characters are recognized
automatically based on previous examples.
The AI effect occurs when onlookers discount the
behavior of an artificial intelligence program by
arguing that it is not real intelligence.
It’s NOT Intelligence!
Its just a
PROGRAM!
Communication
Health Care
Transportation
Engineering
Defense
• www.google.co.in
• en.wikipedia.org/wiki/Artificial_intelligence
• www.sciencedaily.com/news/computers_mat
h/artificial_intelligence/
• science.howstuffworks.com/
• www.scientificamerican.com/topic/artificial-
intelligence/

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Artificial Intelligence by Jayant

  • 1.
  • 2. MENU 1. Timeline 2. What is Artificial Intelligence? 3. Artificial Neurons 4. Expert Systems 5. Machine Learning 6. The AI Effect 7. Applications 8.Two Sides Of Coin 9. Summary 10. References
  • 3. Antiquity • Thinking machines and artificial beings appear in Greek myths, • such as Talos of Crete, • the bronze robot of Hephaestus, • And Pygmalion's Galatea.
  • 4. Antiquity 1956 • The term Artificial Intelligence was coined at a conference on the campus of Dartmouth College in the summer of 1956. • John McCarthy, Marvin Minsky, became the leaders of AI research for many decades.
  • 5. Antiquity 1956 1997 • On 11 May 1997, Deep Blue became the first computer chess- playing system to beat a reigning world chess champion, Garry Kasparov.
  • 6. Antiquity 1956 1997 2011 • In 2005, a Stanford robot won the DARPA Grand Challenge by driving autonomously for 131 miles along an unrehearsed desert trail. • In February 2011, in Jeopardy! , IBM'sWatson, defeated the two greatest Jeopardy champions, Brad Rutter and Ken Jennings.
  • 7. Intelligence = the ability to acquire and apply knowledge and skills, i.e. to Learn and Act. Artificial Intelligence = To make computers acquire and apply knowledge and skills, i.e. to Learn and Act.
  • 8. Dendrites -> Soma -> Axon -> <- Weighted Inputs <- Summation Function <- Output Biological Neuron Artificial Neuron
  • 9. • an Expert System is a computer system that emulates the decision - making ability of a human expert. • The Algorithms are represented primarily by IF-THEN rules rather than through conventional procedural code. • An expert system is divided into two sub-systems: • Knowledge base - represents facts and rules. • Inference engine - applies the rules to the known facts to deduce new facts.
  • 10. • Making such algorithms for Computers, so that it can Learn from Data. • Example - system could be trained on email messages to learn to distinguish between spam and non-spam messages. • Example - in which printed characters are recognized automatically based on previous examples.
  • 11. The AI effect occurs when onlookers discount the behavior of an artificial intelligence program by arguing that it is not real intelligence. It’s NOT Intelligence! Its just a PROGRAM!
  • 13.
  • 14.
  • 15. • www.google.co.in • en.wikipedia.org/wiki/Artificial_intelligence • www.sciencedaily.com/news/computers_mat h/artificial_intelligence/ • science.howstuffworks.com/ • www.scientificamerican.com/topic/artificial- intelligence/