The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.

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

4. ANUSHKA GHOSH
•INTRODUCTION
•BRIEF HISTORY
•CURRENT STATUS

5. WHAT IS

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

7. A.I. TIMELINE

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

11. SNIGDHA SEN CHOWDHURY
•GOALS
•APPROACHES
•TOOLS

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

18. •PLATFORMS
•APPLICATIONS

19. EDUCATION IN A.I.
PARTNERSHIP ON A.I.

21.  Competition & prizes
 Automotive
 Healthcare
 Finance & Economics
 Video games

22. DAYEETA MUKHERJEE
•ADVANTAGES &
DISADVANTAGES
•FUTURE SCOPES

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

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

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 ??

29. DIPANJAN DAS
CONCLUSION

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