SlideShare a Scribd company logo
Presented By :
Bhavana Reddy.A
Navya Rao.T
 Introduction
 Early History
 Current Status
 Challenges Of AI
 Future Of AI
 Pros & Cons
 Conclusion
 The study of computer systems that attempt to model
and apply the intelligence of human mind.
 A branch of computer science dealing with the
simulation of intelligence behavior in the computers.
 The capacity of a machine is to imitate intelligent
human behavior.
 In 1950 English Mathematician Alan Turing wrote
a landmark paper titled “Computer Machinery and
Intelligence” that asked the question. Can
machines think ?!
 Further work came out of a 1956 workshop at
Dartmouth sponsored by JohnMcCarthy. In the
proposal for that workshop, he coined the phrase
“the study of Artificial Intelligence”.
 Then it started emerging periodically.
 Google now, Siri, Cortana, Bixby are all intelligent
digital personal assistants on various platforms
(iOS, Android, Windows, Samsung Mobiles).
 In short, they help find useful information using
voice commands. This works by using algorithms.
 We can use them to make calls, send messages,
set reminders, take notes, recognizing music and
great places addresses/map, check your calendar
and more.
 Google has been a major play on AI
transcendence and deep learning
o Deep Learning is a machine learning based on
algorithms.
o These machines doesn’t need much coding they
will run using based on commands and block
structures.
o In order to maintain them we use basic
programming languages like C,C++,Java.
o This can be achieved by giving multiple examples
for a system to self learn the tricks/methods by
itself.
 Computing Power
 Tolerance Power
 Intuitive Thinking
 Judging Power
 Adaptability
 Beyond negotiation, Moore says CMU is betting several
other AI areas are going to be hugely important in the near
future.
 Self driving cars.
 Improved medical care & treatments.
 Open up doors to future explorations.
 Enabling them for the self promotion to increase their own
intelligence.
 Precision and Accuracy
 Space exploration
 Used for mining process
 Can do laborious tasks
 Fraud detection & manage records
 Lacking the emotional side
 Can do repetitive and time consuming tasks
 Medical fields
 Army & Navy fields
Х Cost effective for maintenance
Х Lack the human touch
Х Lack the creative mind & common sense
Х Unemployment
Х Abilities of humans may diminish
Х Robots superseding humans
Х Humans became dependent on machines
Х Wrong hands causes destruction
Any Queries
????
Thank You

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Artificial intelligence

  • 1. Presented By : Bhavana Reddy.A Navya Rao.T
  • 2.  Introduction  Early History  Current Status  Challenges Of AI  Future Of AI  Pros & Cons  Conclusion
  • 3.  The study of computer systems that attempt to model and apply the intelligence of human mind.  A branch of computer science dealing with the simulation of intelligence behavior in the computers.  The capacity of a machine is to imitate intelligent human behavior.
  • 4.  In 1950 English Mathematician Alan Turing wrote a landmark paper titled “Computer Machinery and Intelligence” that asked the question. Can machines think ?!  Further work came out of a 1956 workshop at Dartmouth sponsored by JohnMcCarthy. In the proposal for that workshop, he coined the phrase “the study of Artificial Intelligence”.  Then it started emerging periodically.
  • 5.  Google now, Siri, Cortana, Bixby are all intelligent digital personal assistants on various platforms (iOS, Android, Windows, Samsung Mobiles).  In short, they help find useful information using voice commands. This works by using algorithms.  We can use them to make calls, send messages, set reminders, take notes, recognizing music and great places addresses/map, check your calendar and more.
  • 6.
  • 7.  Google has been a major play on AI transcendence and deep learning o Deep Learning is a machine learning based on algorithms. o These machines doesn’t need much coding they will run using based on commands and block structures. o In order to maintain them we use basic programming languages like C,C++,Java. o This can be achieved by giving multiple examples for a system to self learn the tricks/methods by itself.
  • 8.  Computing Power  Tolerance Power  Intuitive Thinking  Judging Power  Adaptability
  • 9.  Beyond negotiation, Moore says CMU is betting several other AI areas are going to be hugely important in the near future.  Self driving cars.  Improved medical care & treatments.  Open up doors to future explorations.  Enabling them for the self promotion to increase their own intelligence.
  • 10.
  • 11.  Precision and Accuracy  Space exploration  Used for mining process  Can do laborious tasks  Fraud detection & manage records  Lacking the emotional side  Can do repetitive and time consuming tasks  Medical fields  Army & Navy fields
  • 12. Х Cost effective for maintenance Х Lack the human touch Х Lack the creative mind & common sense Х Unemployment Х Abilities of humans may diminish Х Robots superseding humans Х Humans became dependent on machines Х Wrong hands causes destruction