power point presentation on Artificial intelligence

3. What isA.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 needit?
• 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 makeit?
• 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. T
ypeofA.I.
• Software Based
• Software and Hardware Combined
(Robotics)

13. SoftwareBased
• 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 HardwareCombined
• Sophia
• PathAI (Pethology
Specialist)
• Atomwise (Drug
discovery)

15. Application ofA.I.

16. Healthcare
• 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 internalorgans etc Education

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

19. Heavyindustry
• 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, A
TMdesign, safe andfast
banking etc. also usesAI.
• In August 2001, robots beat humans ina
simulated financial trading competition

21. Automated customersupport
• 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 ofAI
• 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.