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Artificial Intelligence
26=0975323.0
Presented By
Debraj Roy(AEIE 3rd year)
Nilanjan Mandal(AEIE 3rd year)
Artificial intelligence (AI) is an area of computer science that
emphasizes the creation of intelligent machines that work and
react like humans. Some of the activities computers with artificial
intelligence are designed for include
• Problem solving
• Expert system
• Natural Language processing
• Planning
What Is Artificial Intelligence
Background of Artificial Intelligence
 In 1950 English mathematician Alan Turing wrote a landmark paper titled
“Computing Machinery and Intelligence” that asked the question: “Can
machines think?”
 MIT set up AI lab in 1959
 First chatbot ELIZA invented in 1965
 1974 Stanford First invented autonomous Vehicle
 2009: Google starts building autonomous Car.
Turing Test
Loebner prize
The first formal instantiation
of the Turing test, held
annually
Chatbots
A program designed to carry on a conversation with a human user
Artificial Neural Network
A computer representation of knowledge that
attempts to mimic the neural networks of the human
body
Connectionist systems are computing systems vaguely
inspired by the biological neural networks.
Diagram
YES!
NO!
7/10
INPUTS
55
RAIN
7
4
FRIENDS
4/10
28+28=56 THRESHOLD
SUMMATION
A Neuron Model
Natural Language Processing
Components of NLP
1) NLU(Natural Language Understanding)
2) NLG(Natural Language Generation)
NLU
 Here the speech input get transformed into useful representation in
order to analyze the various aspect of language
 A natural language can be very ambiguous
Lexical ambiguity: It means word level ambiguity
Syntactical ambiguity: It is about parsing the sentence(Grammatical ambiguity)
Referential ambiguity: Meaning is not well referred from the sentence
example: Ram went to Sam and said ‘I am hungry’
here who is hungry is not clear from the sentence
NLG
This is the process of converting back representation to natural
language
The process include this this area
Text Planning: It includes extracting knowledge from
Knowledge base
Sentence Planning: This includes selection of correct words
and forming sentence which follow the grammar
Text Realization: Mapping and planned sentence into reality.
Challenges of Artificial Intelligence
Many things Still Beyond the realm of AI
No thinking computers
No abstract reasoning
Many things difficult to capture in data.
Future Applications of Artificial Intelligence
Medical Research:
a) Heart sound analysis
b) Drug Creation
c) To design a treatment plans
d) Medical Diagnosis
Other field:
a) Farming
b) In the Kitchen
c) Sewbo: Autonomous sewing robot
Application-Farming
THANK YOU

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Artificial intelligence

  • 1. Artificial Intelligence 26=0975323.0 Presented By Debraj Roy(AEIE 3rd year) Nilanjan Mandal(AEIE 3rd year)
  • 2. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include • Problem solving • Expert system • Natural Language processing • Planning What Is Artificial Intelligence
  • 3. Background of Artificial Intelligence  In 1950 English mathematician Alan Turing wrote a landmark paper titled “Computing Machinery and Intelligence” that asked the question: “Can machines think?”  MIT set up AI lab in 1959  First chatbot ELIZA invented in 1965  1974 Stanford First invented autonomous Vehicle  2009: Google starts building autonomous Car.
  • 4. Turing Test Loebner prize The first formal instantiation of the Turing test, held annually Chatbots A program designed to carry on a conversation with a human user
  • 5. Artificial Neural Network A computer representation of knowledge that attempts to mimic the neural networks of the human body Connectionist systems are computing systems vaguely inspired by the biological neural networks.
  • 8. Natural Language Processing Components of NLP 1) NLU(Natural Language Understanding) 2) NLG(Natural Language Generation)
  • 9. NLU  Here the speech input get transformed into useful representation in order to analyze the various aspect of language  A natural language can be very ambiguous Lexical ambiguity: It means word level ambiguity Syntactical ambiguity: It is about parsing the sentence(Grammatical ambiguity) Referential ambiguity: Meaning is not well referred from the sentence example: Ram went to Sam and said ‘I am hungry’ here who is hungry is not clear from the sentence
  • 10. NLG This is the process of converting back representation to natural language The process include this this area Text Planning: It includes extracting knowledge from Knowledge base Sentence Planning: This includes selection of correct words and forming sentence which follow the grammar Text Realization: Mapping and planned sentence into reality.
  • 11. Challenges of Artificial Intelligence Many things Still Beyond the realm of AI No thinking computers No abstract reasoning Many things difficult to capture in data.
  • 12. Future Applications of Artificial Intelligence Medical Research: a) Heart sound analysis b) Drug Creation c) To design a treatment plans d) Medical Diagnosis Other field: a) Farming b) In the Kitchen c) Sewbo: Autonomous sewing robot