2. a brief overview of
ARTIFICIAL
INTELLIGENCE
Artiļ¬cial intelligence is growing up fast, as are robots whose facial
expressions can elicit empathy and make your mirror neurons quiver.ā
3. What is an Artiļ¬cial Intelligence (AI)?
According to the father of artiļ¬cial intelligence, it is a science and
engineering of making intelligent machine and computer
programs.
AI Types
Strong AI
It deals with creation of real
intelligence artiļ¬cially. Strong AI
believes that machine can be
made sentient or self aware.
Weak AI
Weak AI does not believe that
creating human level intelligence
in machine is possible but AI
techniques can be developed to
solve many real life problems.
4. AI is the best ļ¬eld for dreamers to play around. It must be evolved
from the thought that making a human machine is possible.
Though many conclude that this is not possible, there is still a lot of
research going on in this ļ¬eld to attain the ļ¬nal objective.
There are inherent advantage of using computers as they do not
get tired or loosing temper and are becoming faster and faster.
Only time will say what will be the future of AI.
So, will it attain human level or above human level intelligence
or not? probably, only time will tellā¦
What is an Artiļ¬cial Intelligence (AI)?
5. the history/timeline of
ARTIFICIAL
INTELLIGENCE
A lot of what AI is being used for today only scratches the surface of what
can be done. It will become so ubiquitous that we won't even call it AI
anymore.
ā
6. History of Artiļ¬cial Intelligence.
ā£ The seed of modern AI was planted by classical philosophers
who wanted to describe human thinking as a mechanical
manipulation.
ā£ The AI research founded at Dartmouth college in summer 1956
and āJohn McCarthy is regarded as father of AIā.
ā£ The project faced difļ¬culty in 1973 in response to criticism of
James Lighthill and on going pressure from government and
stopped funding on directed research into AI.
ā£ Investment and interest in AI boomed in ļ¬rst decade of 21st
century.
7. The birth of Artiļ¬cial Intelligence.
In 1940s to 50s a handful of scientist, variety of ļ¬eld began to
discuss the possibility of creating an artiļ¬cial brain.
ā£ Study of cybernetics and neural network help in constructing an
electric brain.
ā£ Alan turing provide a turing test in which it make sure that
machine is thinking.
ā£ In 1955 A. Newell and H.A. Simon created the logic theorist and
solved the venerable mind/body problem explaining how matter
can have the properties of mind.
8. Timeline of Artiļ¬cial Intelligence.
In the 70s, AI was subject to critiques and ļ¬nancial setbacks due
to tremendous optimism raised exceptionally impossible high and
promised results failed to materialise, funding for AI disappeared.
It completely shut down for 10 years by Marvin Minsky. In late
70s new ideas were explored in logic programming, common
sense reasoning.
Programmable
Mechanical
Calculating
Machine
(1842)
Turing
Test
(1950)
Industrial
Robot
(1961)
ELIZA
the ļ¬rst
expert
system
(1965)
Knowledge
based
Medical
Diagnosis
(1979)
Commercial
Expert
system
(1980s)
Polly:
Behaviour
based
robotics
(1993)
Mobile
PAs
(Siri, Now,
Cortana
etc.)
(2011)
Facebookās
AI can perform
facial
recognition as
accurate
as humans!
(2014)
and the future is yet to come!
10. People of the future may look back on our society and
marvel at our way of lifeā¦
Doctors relying
mainly on their
memory for all the
salient facts to a
case!
Cars that can't
parallel-park
themselves!
Factories requiring
human assembly-
line drudgery!
Library books
unable to
recommend other
relevant information
sources!
Your house not
opening & closing
door by itself on
seeing you or
family!
Cars not driving
you to hospital by
itself if you faint
while driving!
Fans & lamps not
turn themselves off
when we leave the
room!
Our bed not able to
push us out by
itself when alarm
goes off!
11. What are the characteristics of AI?
Not Simulated
Actual, not Fake
Synthetic Intelligence
Emerging Computer Technology
Applied Science Branch (CS)
12. What about the applications of AI?
Object recognition
Automatic target recognition
Automated reasoning
Artiļ¬cial life
Biologically inspired computing
Facial recognition systems
Speech recognition
Image processing
Decision support system
Handwriting recognition
Optical character recognition
Concept mining
Artiļ¬cial Creativity
Intelligent word recognition
Natural language processing
Robotics
Cybernetics
Pattern recognition
and much, much moreā¦
13. Real life AI Projects/Examples.
1
Autonomous cars project
An autonomous car (driverless car, self-driving car) is a vehicle that is
capable of sensing its environment and navigating without human input.
Major companies involved in the R&D of this technology are Google, Tesla
and Ford as of now.
2
Blue Brain Project
The Blue Brain Project is an attempt to create a synthetic brain by reverse-
engineering mammalian brain circuitry.
The aim of the project, founded in May 2005 by the Brain and Mind Institute
of the EPFL, Switzerland, is to study the brain's architectural and functional
principles.
14. Practical Examples of AI Applications.
3
Google Brain
It is a deep learning project, part of Google X attempting to mimic human-
level intelligence.
The project's technology is currently used in the Android Operating
System's speech recognition system, photo search for Google+ and video
recommendations in YouTube.
4
Google Now
Google Now is an intelligent personal assistant developed by Google.
Google Now, including Now cards, voice search and commands, is
available in the Google app for Android and iOS.
It uses a natural language user interface to answer questions, make
recommendations, and perform actions by delegating requests.
15. Practical Examples of AI Applications.
5
Apple Siri
It is a computer program that works as an intelligent personal assistant and
knowledge navigator, part of Appleās iOS, watchOS, macOS and tvOS
operating systems. The feature uses a natural language user interface to
answer questions, make recommendations, and perform actions by
delegating requests.
6
Microsoft Cortana
It is an intelligent personal assistant created by Microsoft for Windows 10,
Windows 10 Mobile, Windows Phone 8.1, Microsoft Band, Xbox One, iOS
and Android. It can set reminders, recognise natural voice without the
requirement for keyboard input, and answer questions using information
from the Bing search.
16. Practical Examples of AI Applications.
7
Holmes
Holmes is a cognitive computing system developed by the Indian
technology corporation Wipro and announced in 2016.
Its uses include development of digital virtual agents, predictive systems,
cognitive process automation, visual computing applications, knowledge
virtualisation, robotics and drones.
8
Wolfram Alpha
It is a computational knowledge engine or answer engine developed by
Wolfram Research. It is an online service that answers factual queries
directly by computing the answer from externally sourced "curated data",
rather than providing a list of documents or web pages that might contain
the answer as a search engine might.
and many moreā¦
17. interaction & reasoning of
ARTIFICIAL
INTELLIGENCE
The key to artiļ¬cial intelligence has always been the representation.
ā
18. How does the AI interacts?
- Pairing new technologies with human assistants.
- Recent ļ¬lm Ex Machina, where a reclusive billionaire invents a
robotic AI.
- Today, making machines & humans indistinguishable from each
other is no longer science ļ¬ction-its good business.
- Messaging is the medium.
19. How does the AI performs reasoning?
- When thereās one goal & too many options.
- When data collection is easy but analysis is hard.
- When it feels like a friend.
- Who needs HUMANS?
- AUTOMATED REASONING is an area of computer science &
mathematical logic dedicated to understanding different aspects
of reasoning.
20. philosophy and ethics of
ARTIFICIAL
INTELLIGENCE
By far, the greatest danger of Artiļ¬cial Intelligence is that people
conclude too early that they understand it.ā
21. Ethics & Philosophy of AI systems.
The ethics of artiļ¬cial intelligence is the part of the ethics of
technology speciļ¬c to robots and other artiļ¬cially intelligent beings.
It is typically divided into two major parts.
AI Ethics
Robo Ethics
It is a concern with the moral
behaviour of humans as they
design, construct, use and treat
artiļ¬cially intelligent beings.
Machine Ethics
It is a concern with the moral
behaviour of artiļ¬cial moral
agents(AMAs).
22. facts & ļ¬ction related to
ARTIFICIAL
INTELLIGENCE
A year spent in artiļ¬cial intelligence is enough to make one believe in
God.ā
23. Some facts about Artiļ¬cial Intelligence.
ā£ Natural language processing method.
ā£ Autonomous vehicles.
ā£ Developing robots.
ā£ Making human life easier.
ā£ Speech recognition.
ā£ Hospitals and medicine.
ā£ Online telephone customer service.
ā£ Transportation.
ā£ Aviation.
24. Uses of Artiļ¬cial Intelligence in ļ¬ction.
ā£ In the early half of 21st century there were many ļ¬ctional
intelligences related to AI.
ā£ AI has ļ¬rmly rooted in popular culture and in many ļ¬lms.
ā£ Implication of AI is the persistent theme in science ļ¬ction .
ā£ Science ļ¬ction sometimes emphasises the dangers of artiļ¬cial
intelligence and sometimes itās positive potential.
ā£ Artiļ¬cial intelligence is the theme of many ļ¬lms and books like
The Terminator, A Space Odyssey, Metropolis, Interstellar, The
Matrix, Robocop etc.
25. For NIET, Greater Noida, by Group - 2 (CSE4, 2016)
Thank Youfor being all ears, dear audience :)