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ARTIFICIAL INTELLIGENCE ( A.I.)
Presented by
TECHIE PROPHETS
GROUP MEMBERS
 SNIGDHA SEN CHOWDHURY
 SANDIPAN GHOSH
 DAYEETA MUKHERJEE
 DIPANJAN DAS
 ANUSHKA GHOSH
CSE 2A
CONTENTS
• INTRODUCTION
• HISTORY
• CURRENT STATUS
• GOALS
• APPLICATIONS
• ADVANTAGES & DISADVANTAGES
• FUTURE SCOPES
• CONCLUSION
ANUSHKA GHOSH
•INTRODUCTION
•BRIEF HISTORY
•CURRENT STATUS
WHAT IS
ARTIFICIAL INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
Intelligence: “The capacity to learn and solve problems”
 Artificial Intelligence: Artificial intelligence (AI) is the simulation of human
intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
A.I. TIMELINE
EARLY HISTORY OF A.I.
1950 : “CAN MACHINES
THINK??????”
1956 : THE TERM
“ARTIFICIAL INTELLIGENCE”
WAS FIRST INTRODUCED.
CURRENT STATUS OF A.I.
A.I. FOR GOOD
• Analyse Satellite
Images to identify
which areas have the
highest poverty level
AVIATION
• Gate allocation for
plane while landing
• Ticket price
determination
EDUCATION
• Companies are
creating robots
to teach subjects
CURRENT STATUS OF A.I.
HEALTHCARE
• Solving a variety of
problems of patients,
hospitals & healthcare
industry overall.
• Using Avatars in place of
patients.
HEAVY INDUSTRY
• Robots have become very
common in many industries
• Can do repetitive
laborious tasks
FINANCE
• Algorithmic Trading
• Market analysis & data
mining
• Personal Finance
• Portfolio management
SNIGDHA SEN CHOWDHURY
•GOALS
•APPROACHES
•TOOLS
• To develop algorithms that human use.
• Algorithms can require enormous computational
resources and problem goes beyond a certain
size
• KNOWLEDGE REPRESENTATION :
To build machine with the capability of making
working assumption and common sense.
• Planning :
 In classical planning problems, the agent can assume that it
is the only system acting on the world
 Multi-agent planning uses the cooperation and competition
of many agents to achieve the given goal.
• Learning :
 Machine learning is the fundamental concept of AI search.
 Unsupervised learning is the ability to find patterns in s
stream of input
 Supervised learning includes both classification and
numerical regression
:
 Natural Language Processing gives machines
the ability to read and understand human
language.
 Common method of processing meaning from
natural language is through semantic indexing.
:
 Machine perception is the ability to use input
from sensors to deduce aspects of the world
• MOTION & MANIPULATION :
 Intelligence is required for robots to handle tasks
such as object manipulation and navigation
 Affective computing is the development of systems that
can recognize, interpret, simulate human affects
 Emotion and social skills are important to an intelligent
agent to understand others and to make better
decisions.
APPROACHES OF A.I.
CYBERNETICS &
BRAIN
SIMULATION
COGNITIVE
SIMULATION
STATISTICAL
APPROACH
SYMBOLIC
APPROACH
• Search & Optimization
• Logic
• Probabilistic Methods
• Neural Networks
•PLATFORMS
•APPLICATIONS
EDUCATION IN A.I.
PARTNERSHIP ON A.I.
 Competition & prizes
 Automotive
 Healthcare
 Finance & Economics
 Video games
DAYEETA MUKHERJEE
•ADVANTAGES &
DISADVANTAGES
•FUTURE SCOPES
 The chances of error are almost nil
 It can be used to explore space, depths of
ocean
 Smartphones are greatest example of A.I.
 It can be used in time consuming tasks efficiently
 Algorithms can help the doctors asses patients
and their health risks
 Machines do not require sleep or break and are
able to function without stopping
 High cost
 Decrease in demand for human labour
 AI may be programmed to do something devastating
 Machine Ethics
 The storage and access are not
as effective as human brains
 No improvement with
experience
 Improved speech, voice, image ,video recognition will change the way interact with our
devices
 Personal assistants will become more personal and context aware
 More and more systems will run autonomously to a point
 The positive impact AI research can have on humanity will start to be across many walks
of life - much of it behind the scenes
WHAT WILL THE NEXT DECADE BRING ??
DIPANJAN DAS
CONCLUSION
• A.I. Is a common topic in both
Science Fiction & Projection.
• The future of Technology &
society.
• Rivals Human Intelligence.
• Raises difficult Ethical Issues.
THINKING
HUMANLY
THINKING
RATIONALLY
ACTING
HUMANLY
ACTING
RATIONALLY
OBJECTIVES :
AM I GOOD
OR BAD??
IT DEPENDS
ON WHO
CREATED…
A.I. IS LIKE TWO EDGED SWORD , AT ONE END THEY CAN SOLVE
PROBLEMS INTELLIGENTLY , AT ANOTHER END THEY POSE A
PROBLEM THEMSELVES……SO WE HAVE TO HANDLE IT PROPERLY.
BIBLIOGRAPHY
• https://www.cs.umn.edu/research/research_areas/robotics-and-
artificial-intelligence
• https://deeplearning4j.org/ai-machinelearning-deeplearning
• https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence
• https://study.com/academy/lesson/what-is-artificial-intelligence-
definition-history.html
• https://www.ubs.com/magazines/innovation/en/into-the-
future/2017/ai-and-financial-services.html
• https://en.wikipedia.org/wiki/Artificial_intelligence#Applications
• https://blog.robotiq.com/whats-the-difference-between-robotics-and-
artificial-intelligence
• https://resellernews.pl/raport-technology-vision-2017-sztuczna-
inteligencja-szansa-dla-polskiej-gospodarki/
We would like to express our special thanks of gratitude
to our teacher Mrs. Sharmistha Basu , who gave us the
golden opportunity to do this wonderful project on
Artificial Intelligence .We came to know about so many
new things for that we are very thankful. Secondly we
would also like to thank our parents and friends who
helped us a lot in finalizing this project within the
limited time frame.
REFERENCES
• https://www.cs.umn.edu/research/research_areas/robotics-and-artificial-intelligence
• https://deeplearning4j.org/ai-machinelearning-deeplearning
• https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence
• https://study.com/academy/lesson/what-is-artificial-intelligence-definition-history.html
• https://www.ubs.com/magazines/innovation/en/into-the-future/2017/ai-and-financial-
services.html
• FOR FURTHER DETAILS :
Email : techieprophets@gmail.com
Mob : 9635217315
8478903889
Artificial intelligence presentation2-171219131633.pdf
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Artificial intelligence presentation2-171219131633.pdf

  • 1. ARTIFICIAL INTELLIGENCE ( A.I.) Presented by TECHIE PROPHETS
  • 2. GROUP MEMBERS  SNIGDHA SEN CHOWDHURY  SANDIPAN GHOSH  DAYEETA MUKHERJEE  DIPANJAN DAS  ANUSHKA GHOSH CSE 2A
  • 3. CONTENTS • INTRODUCTION • HISTORY • CURRENT STATUS • GOALS • APPLICATIONS • ADVANTAGES & DISADVANTAGES • FUTURE SCOPES • CONCLUSION
  • 6. ARTIFICIAL INTELLIGENCE ARTIFICIAL INTELLIGENCE Intelligence: “The capacity to learn and solve problems”  Artificial Intelligence: Artificial intelligence (AI) is the simulation of human intelligence by machines. • The ability to solve problems • The ability to act rationally • The ability to act like humans
  • 8. EARLY HISTORY OF A.I. 1950 : “CAN MACHINES THINK??????” 1956 : THE TERM “ARTIFICIAL INTELLIGENCE” WAS FIRST INTRODUCED.
  • 9. CURRENT STATUS OF A.I. A.I. FOR GOOD • Analyse Satellite Images to identify which areas have the highest poverty level AVIATION • Gate allocation for plane while landing • Ticket price determination EDUCATION • Companies are creating robots to teach subjects
  • 10. CURRENT STATUS OF A.I. HEALTHCARE • Solving a variety of problems of patients, hospitals & healthcare industry overall. • Using Avatars in place of patients. HEAVY INDUSTRY • Robots have become very common in many industries • Can do repetitive laborious tasks FINANCE • Algorithmic Trading • Market analysis & data mining • Personal Finance • Portfolio management
  • 12. • To develop algorithms that human use. • Algorithms can require enormous computational resources and problem goes beyond a certain size • KNOWLEDGE REPRESENTATION : To build machine with the capability of making working assumption and common sense.
  • 13. • Planning :  In classical planning problems, the agent can assume that it is the only system acting on the world  Multi-agent planning uses the cooperation and competition of many agents to achieve the given goal. • Learning :  Machine learning is the fundamental concept of AI search.  Unsupervised learning is the ability to find patterns in s stream of input  Supervised learning includes both classification and numerical regression
  • 14. :  Natural Language Processing gives machines the ability to read and understand human language.  Common method of processing meaning from natural language is through semantic indexing. :  Machine perception is the ability to use input from sensors to deduce aspects of the world
  • 15. • MOTION & MANIPULATION :  Intelligence is required for robots to handle tasks such as object manipulation and navigation  Affective computing is the development of systems that can recognize, interpret, simulate human affects  Emotion and social skills are important to an intelligent agent to understand others and to make better decisions.
  • 16. APPROACHES OF A.I. CYBERNETICS & BRAIN SIMULATION COGNITIVE SIMULATION STATISTICAL APPROACH SYMBOLIC APPROACH
  • 17. • Search & Optimization • Logic • Probabilistic Methods • Neural Networks
  • 20.
  • 21.  Competition & prizes  Automotive  Healthcare  Finance & Economics  Video games
  • 23.
  • 24.  The chances of error are almost nil  It can be used to explore space, depths of ocean  Smartphones are greatest example of A.I.  It can be used in time consuming tasks efficiently  Algorithms can help the doctors asses patients and their health risks  Machines do not require sleep or break and are able to function without stopping
  • 25.
  • 26.  High cost  Decrease in demand for human labour  AI may be programmed to do something devastating  Machine Ethics  The storage and access are not as effective as human brains  No improvement with experience
  • 27.
  • 28.  Improved speech, voice, image ,video recognition will change the way interact with our devices  Personal assistants will become more personal and context aware  More and more systems will run autonomously to a point  The positive impact AI research can have on humanity will start to be across many walks of life - much of it behind the scenes WHAT WILL THE NEXT DECADE BRING ??
  • 30. • A.I. Is a common topic in both Science Fiction & Projection. • The future of Technology & society. • Rivals Human Intelligence. • Raises difficult Ethical Issues. THINKING HUMANLY THINKING RATIONALLY ACTING HUMANLY ACTING RATIONALLY
  • 31. OBJECTIVES : AM I GOOD OR BAD?? IT DEPENDS ON WHO CREATED… A.I. IS LIKE TWO EDGED SWORD , AT ONE END THEY CAN SOLVE PROBLEMS INTELLIGENTLY , AT ANOTHER END THEY POSE A PROBLEM THEMSELVES……SO WE HAVE TO HANDLE IT PROPERLY.
  • 32. BIBLIOGRAPHY • https://www.cs.umn.edu/research/research_areas/robotics-and- artificial-intelligence • https://deeplearning4j.org/ai-machinelearning-deeplearning • https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence • https://study.com/academy/lesson/what-is-artificial-intelligence- definition-history.html • https://www.ubs.com/magazines/innovation/en/into-the- future/2017/ai-and-financial-services.html • https://en.wikipedia.org/wiki/Artificial_intelligence#Applications • https://blog.robotiq.com/whats-the-difference-between-robotics-and- artificial-intelligence • https://resellernews.pl/raport-technology-vision-2017-sztuczna- inteligencja-szansa-dla-polskiej-gospodarki/
  • 33. We would like to express our special thanks of gratitude to our teacher Mrs. Sharmistha Basu , who gave us the golden opportunity to do this wonderful project on Artificial Intelligence .We came to know about so many new things for that we are very thankful. Secondly we would also like to thank our parents and friends who helped us a lot in finalizing this project within the limited time frame.
  • 34. REFERENCES • https://www.cs.umn.edu/research/research_areas/robotics-and-artificial-intelligence • https://deeplearning4j.org/ai-machinelearning-deeplearning • https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence • https://study.com/academy/lesson/what-is-artificial-intelligence-definition-history.html • https://www.ubs.com/magazines/innovation/en/into-the-future/2017/ai-and-financial- services.html • FOR FURTHER DETAILS : Email : techieprophets@gmail.com Mob : 9635217315 8478903889