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ARTIFICIAL INTELLIGENCE ( A.I.)
Presented by
TECHIE PROPHETS
GROUP MEMBERS
 GIRI KAUSHAL BHAGWAN
 GHADGE AMIT
 GAWARE AJIT
 GOLEWAR PRATIK
CSE 2A
CONTENTS
• INTRODUCTION
• HISTORY
• CURRENT STATUS
• GOALS
• APPLICATIONS
• ADVANTAGES & DISADVANTAGES
• FUTURE SCOPES
• CONCLUSION
GIRI KAUSHAL
•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
GIRI KAUSHAL BHAGWAN
•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
APPROACHES OF A.I.
CYBERNETICS &
BRAIN
SIMULATION
COGNITIVE
SIMULATION
STATISTICAL
APPROACH
SYMBOLIC
APPROACH
•PLATFORMS
•APPLICATIONS
EDUCATION IN A.I.
PARTNERSHIP ON A.I.
 Competition & prizes
 Automotive
 Healthcare
 Finance & Economics
 Video games
GIRI KAUSHAL
•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 ??
GIRI KAUSHAL
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/
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
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Project Based Learning (A.I).pptx detail explanation

  • 1. ARTIFICIAL INTELLIGENCE ( A.I.) Presented by TECHIE PROPHETS
  • 2. GROUP MEMBERS  GIRI KAUSHAL BHAGWAN  GHADGE AMIT  GAWARE AJIT  GOLEWAR PRATIK 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. APPROACHES OF A.I. CYBERNETICS & BRAIN SIMULATION COGNITIVE SIMULATION STATISTICAL APPROACH SYMBOLIC APPROACH
  • 17.
  • 18.  Competition & prizes  Automotive  Healthcare  Finance & Economics  Video games
  • 20.
  • 21.  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
  • 22.
  • 23.  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
  • 24.
  • 25.  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 ??
  • 27. • 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
  • 28. 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.
  • 29. 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/
  • 30. 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