This document provides an overview of artificial intelligence (AI) including its history, subsets, scope, applications, and recent advances. It discusses early concepts of AI from ancient Greece. Key events in AI history include Alan Turing's 1950 paper speculating about machine intelligence and the creation of machine learning and deep learning subsets. The document outlines current applications of AI in various fields like education, healthcare, finance, and industry. Recent AI advances presented include predictive systems, robot journalists, self-flying helicopters, art-creating systems, and question answering computers. Potential threats from AI developing unintended behaviors or being programmed for destructive goals are also examined.

1. Presented by: Ishi Saxena
( CSE - 15)

2. Contents
 Introduction to AI
 History of AI
 Subsets of AI
Machine learning
Deep learning
 Scope of AI
 Applications of AI
 Recent Advances in AI
 Artificial Intelligence As Threat
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3. What Is Artificial Intelligence?
The Theory and development of computer systems to able to perform
tasks, normally requiring human intelligence, such as visual
perception, speech recognition, decision making , translation between
languages.
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4. Is Artificial Intelligence New??
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5. History
 Term Coined by John McCarthy in 1956, during first
academic conference on the subject.
 In 1950 Alan Turing published a
landmark paper in which he speculated
about the possibility of creating machines
that think.
 Eugene was the 1st AI to pass
Turing Test.
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6. Contd..
 Early Instance of AI ? Golden robots created
by Greek god Hephaestus to help him move
around.
 Talos bronze warrior created by Hephaestus.
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7. Subsets Of Artificial Intelligence
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8. Machine Learning
 Machine Leaning is a type of Artificial Intelligence (AI) that provides
computers with the ability to learn without being explicily programmed.
 Problem Statement: determine the species of the flower.
 Problem Statement: Determine the dog in picture.
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9. What Exactly Deep Learning is?
Deep Learning uses Deep networks which are nothing but
Neural Networks with multiple hidden layers.
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10. How Deep Learning Works?
 Implemented through Neural Network.
 Motivation behind Neural Network is biological Neuron.
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11. Scope Of Artificial Intelligence
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12. Scope Of Artificial Intelligence
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AI for Good AI In Education AI In Healthcare
Stanford Researchers
propose accurate way to
identify poverty prone areas,
using the concept of
machine learning.
Intelligent Tutoring
System(ITS) Sherlock,
teaches Air Force
Technicians.
Mining Medical record to provide
useful information.
Provide free Consultations.

13. Contd..
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AI In Heavy Industry AI In Finance
World’s leading Innovative Robo-
Advisers in Europe and USA.
Robots Given jobs often
dangerous for humans.

14. Applications Of Artificial Intelligence
 ChatBot
 Self-Driving car
 AI Eye Doctor
 AI Music Composer
 Predicting Future
 AI Dream Machine
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15. Recent Advances in AI
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16. MogIA AI System
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 MogIA, Artificial Intelligence System predicted last four
elections correctly, according to CNBC.
 System created in 2004 by Sanjiv Rai.

17. Wordsmith, Robo -Journalist AI
system
 Wordsmith, is an automated
insights’ software platform that
provides so-called robot journalists to
organisations,
 Provides "auto generated, data-heavy
articles“ on topics such as Election Results
& Crime Trends.
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18.  The Kaman K-MAX , Self-Flying
Helicopter, optimized for external cargo
load Operations.
 Used in Fire-fighting, Military, Humanitarian
aid, Forestry, Oil & Gas.
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K-MAX,Self-Flying Helicopter

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AARON, Art-Creating AI System
 It is a computer program written
by artist Harold Cohen in 1973.
 It is capable of producing infinite
supply of distinct images in its own style.

20. A natural language question
answering computer, competes
on jeopardy and defeats two
former champions.
Hardware specifications:
 90 IBM Power 750 servers
 16TB of RAM
 500GB/sec or 1 million books/sec.
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IBM Watson

21. Artificial Intelligence as a Threat.!
(Can Intelligence be too dangerous?)
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22. Artificial Intelligence as a Threat
 The AI programmed to do something devastating: For
Example- Autonomous weapons.
 The AI programmed to do something beneficial, but it develops a
destructive method for achieving its goal: For Example-
Intelligent car instructed to reach airport as fast as possible.
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23.  Elon Musk tweeted that Artificial Intelligence is more dangerous than
North Korea.
 Sophia ,a social humanoid robot developed by Hong Kong-based
company Hanson Robotics stated in interview that she wants to
destroy humanity.
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24. References
 https://en.wikipedia.org/wiki/Google_Neural_Machine_Translation
 https://www.theverge.com/2018/2/20/17032228/ai-artificial-intelligence-
threat-report-malicious-uses
 https://genius.com/Stephen-hawking-on-the-threat-of-artificial-
intelligence-annotated
 https://en.wikipedia.org/wiki/Sophia_(robot)
 https://www.google.co.in/search?client=firefox-
b&dcr=0&ei=jcCrWpOsMYvavASTx68I&q=k-
max+helicopter+fire+fighting&oq=K-+MAx&gs_l=psy-
ab.1.1.0i71k1l8.0.0.0.9600.0.0.0.0.0.0.0.0..0.0....0...1c..64.psy-
ab..0.0.0....0.46uSQrlgzgg
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