It is a slide on artificial intilligence.You have to describe these point. This slide can use also student of CSE,EEE and othe engennering subjects.This presentation is a group presentation if anyone want to make it individually then he or she has to reduce the number of slides.By using this silde on can be talk at least 10 minute at presentation time

2. Group Memebers
Jasmin Haque
Arif Mahmud Sisir
Najim Ullah Rifat

3. What is A.I?
• In one sentence A.I. is the capability of a machine to imitate
intelligent human behavior.

4. History
Everyone knows that A.I. is a things of 20’s century but it start between
1952-1956.It start with a myth.But Between 1993 – 2011 it improve in
a high ratio.Now days we have too much updated A.I. project like
Sophia Robot.We can also give the example of A.I. camera in our
smartphone.

5. Why we need it?
• We are the human beings has too many limitation for our human
body.We can’t tolerate high temperature.We can’t tolerate the
extreme cold.But a robot can do it.If we can use A.I. on robot then
they can do many incredible job that can’t do a man normally.

6. How to make it?
• It is not just a single thing it’s a combination of many things.It’s a total
sum of programming,hardware and sensors.
• The programming language which are the use in making A.I. is
Java,Python,R,LISP,prolog.

7. R,LISP
• R{ print("Hello World!") }
• LISP{ Math specialist}

8. Prolog
• size([],0).
• size([H|T],N) :- size(T,N1), N is N1+1.
• % or size([_|T],N) :- size(T,N1), N is N1+1.
• | ?- size([1,2,3,4],N).
• N = 4
• yes
• | ?- size([bill,ted,ming,pascal,nat,ron],N).
• N = 6
• yes
• | ?- size([a, [b, c, d], e, [f | g], h], N).
• N = 5
• yes

9. Sensors
• There are too many sensors like light sensor,voicerecognition
sensor,face recognition sensor
• Movement motor sensor
• Balance or gravity sensor

10. Main Hardware
• An AI accelerator is a class of microprocessor or computer system
designed as hardware acceleration for artificial intelligence
applications, especially artificial neural networks, machine vision and
machine learning.
• Ram
• Proccessor
• High speed storage

11. Software
• H2O.AI (Ai sotware checking)
• IBM Watson (Question answering system)

12. Type of A.I.
• Software Based
• Software and Hardware Combined (Robotics)

13. Software Based
• A best example of software based A.I. is our smartphone’s camera.
• When a phone detect the real life scene then it’s a mircle of software
based Artifical Intiligence
• Cortana , siri

14. Software and Hardware Combined
• Sophia
• PathAI (Pethology Specialist)
• Atomwise (Drug discovery)

15. Application of A.I.

16. Health care
• A medical clinic can use artificial intelligence system to organize bed
schedule, make a staff rotation and provide medical information and
other important task.
• AI has also applications in the field of Cardiology(CRG),
Neurology(MRI), Embryology(Sonography), Complex operations
of internal organs etc Education

17. Education
By the using of ai system scientists are creating robots to teach
children ranging from biology to computer science.

19. Heavy industry
• Huge machine involves risks in manual maintenance and working
• Robot are safe and efficient agent for it
• They are often given jobs that are considered dangerous to humans.
• Robots have proven effective in jobs that are very repetitive which
may leads to mistakes or accidents due to a lapse in concentration
and other jobs which humans may find degrading.

20. Finance
20
• Banks use artificial intelligence systems to
organize operations, invest in stocks, and
manage properties
• Loan investigation, ATMdesign, safe andfast
banking etc. also uses AI.
• In August 2001, robots beat humans in a
simulated financial tradingcompetition

21. Automated customer support
• AI-enabled customer assistants can answer simple questions like
letting you know the status of your order, and helping you in finding a
particular product based on your description, among others.

22. Advantages
• Low error rate
• Not effected by hostile environments
• Replace of humans
• Predict what a user will do
• Organize and manages records
• Don’t get bored or tired

23. Disadvantages
• High cost
• No replicating humans
• No improvement with experience
• No original creativity
• Unemployment

24. Future of AI
• Automated transportation
• Cyborg technology
• Taking over dangerous jobs
• Solving climate change
• Robot as friends
• Improved elder care

25. Conclusion
• AI is at the centre of a new enterprise to build computational models of intelligence. The
main assumption is that intelligence (human or otherwise) can be represented in terms
of symbol structures and symbolic operations which can be programmed in a digital
computer. There is much debate as to whether such an appropriately programmed
computer would be a mind, or would merely simulate one, but AI researchers need not
wait for the conclusion to that debate, nor for the hypothetical computer that could
model all of human intelligence. Aspects of intelligent behaviour, such as solving
problems, making inferences, learning, and understanding language, have already been
coded as computer programs, and within very limited domains, such as identifying
diseases of soybean plants, AI programs can outperform human experts. Now the great
challenge of AI is to find ways of representing the commonsense knowledge and
experience that enable people to carry out everyday activities such as holding a wide-
ranging conversation, or finding their way along a busy street. Conventional digital
computers may be capable of running such programs, or we may need to develop new
machines that can support the complexity of human thought.