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By BIJAY KUMAR NAYAK
EEE
3rd Year
What is AI?
When the term AI was coined in 1955, it referred to machines that could
perform tasks that required intelligence when performed by humans. It
has come to mean machines that simulate human cognitive processes, i.e.
they mimic the human brain in how they ‘think’ and process. They learn,
reason, judge, predict, infer and initiate action.
• Aware: is cognizant of context and human language
• Analytical: analyzes data and context to learn
• Adaptive: uses that learning to adapt and improve
• Anticipatory: understands likely good “next moves”
• Autonomous: is able to act independently without explicit programming
OUR BRAIN COMPUTERS
• 1012 neurons in a human brain • 108 or more transistors per CPU
• many more synapses (10 14)
connecting these neurons
• supercomputer: hundreds of CPUs,
1012 bits of RAM
• cycle time: 10 -3 seconds (1
millisecond)
• cycle times: order of 10 - 9 seconds
FUTURE/APPLICATION OF AI
WORKING
REFERENCES
• https://cloud.google.com
• https://forbes.com
• http://www-formal.stanford.edu/jmc/whatisai/node1.html
• http://library.thinkquest.org/2705/history.html
• http://www.a-i.com/
• http://www.wired.com/magazine/2011/01/storyboard-artificial-
intelligence-cars/
• http://www.wired.com/magazine/2011/01/storyboard-artificial-
intelligence-cars/
• http://www-formal.stanford.edu/jmc/whatisai/node1.html
• http://www.cedmagic.com/history/atanasoff-berry-computer.html
• McGourty, Colin (6 December 2017). "DeepMind's AlphaZero crushes
chess". chess24.com
ARTIFICIAL INTELLIGENCE (AI)
ARTIFICIAL INTELLIGENCE (AI)

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ARTIFICIAL INTELLIGENCE (AI)

  • 1. By BIJAY KUMAR NAYAK EEE 3rd Year
  • 2.
  • 3.
  • 4. What is AI? When the term AI was coined in 1955, it referred to machines that could perform tasks that required intelligence when performed by humans. It has come to mean machines that simulate human cognitive processes, i.e. they mimic the human brain in how they ‘think’ and process. They learn, reason, judge, predict, infer and initiate action. • Aware: is cognizant of context and human language • Analytical: analyzes data and context to learn • Adaptive: uses that learning to adapt and improve • Anticipatory: understands likely good “next moves” • Autonomous: is able to act independently without explicit programming
  • 5.
  • 6.
  • 7. OUR BRAIN COMPUTERS • 1012 neurons in a human brain • 108 or more transistors per CPU • many more synapses (10 14) connecting these neurons • supercomputer: hundreds of CPUs, 1012 bits of RAM • cycle time: 10 -3 seconds (1 millisecond) • cycle times: order of 10 - 9 seconds
  • 8.
  • 9.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 17.
  • 18.
  • 19. REFERENCES • https://cloud.google.com • https://forbes.com • http://www-formal.stanford.edu/jmc/whatisai/node1.html • http://library.thinkquest.org/2705/history.html • http://www.a-i.com/ • http://www.wired.com/magazine/2011/01/storyboard-artificial- intelligence-cars/ • http://www.wired.com/magazine/2011/01/storyboard-artificial- intelligence-cars/ • http://www-formal.stanford.edu/jmc/whatisai/node1.html • http://www.cedmagic.com/history/atanasoff-berry-computer.html • McGourty, Colin (6 December 2017). "DeepMind's AlphaZero crushes chess". chess24.com