Panngesh Awasthi B.tech (Electrical Engineering) IET MJP Rohilkhand University, Bareilly

1. PRESENTED BY:-
Panngesh Awasthi
MJP Rohilkhand university, Bareilly

2. Contents
 Introduction
 Early History
 Current status of AI
 Categories of AI
 Challenges for AI
 Future of AI
 Machine learning versus AI
 AI in internet of things (IOT)
 Pros & Cons
 Conclution

3. ARTIFICIAL INTELLIGENCE
A branch of computer science dealing with the
simulation of intelligent behaviour in computers.
Ability to interact with the world (speech, vision,
motion, manipulation)
The study of computer systems that attempt to model
and apply the intelligence of the human mind.
Ability to learn and to adapt

5. Early History:-
In 1950 English mathematician Alan Turing wrote a
landmark paper titled “Computing Machinery and
Intelligence” that asked the question: “Can machines
think?”
Further work came out of a 1956 workshop at
Dartmouth sponsored by John McCarthy. In the
proposal for that workshop, he coined the phrase a
“study of Artificial Intelligence”.

8. Categories of AI
AI divides roughly into two schools of thought:
 Conventional AI
 Computational Intelligence (CI)

9. CHALLENGES
• Computing
power
• Building trust
• One track mind

10. FUTURE OF AI
• Automated transportation will become a common thing in
the future.
• In future, humans will be able to augment themselves with
robots.
• There will be more numbers of smart cities as vehicles,
phones, home appliances will be run by AI.

11. • Home robots’ will help elderly people with their day to day
work.
• Robots will take over hazardous jobs like bomb defusing,
welding, etc

12. AI VERSUS MACHINE LEARNING
AI:AI involves machines that
think the way human think.
ML:It is a field of computer
systems that gives computer
system the ability to learn
(progressively improve
performance on specific task)
with data, without being
explicitly programme.

13. Application of AI in IOT
• IOT is current
technology to send or
received the sensor data
via internet.
• The Internet of Things
(IoT) is very closely
related to Artificial
Intelligence (AI). In fact,
IoT would not be very
powerful without AI.

14. Application of AI in IOT
• Data sharing.
• Service improvement
• Independent action
• Mass customization
• Human interaction

15. PROS AND CONS
PROS:
Increased
Precision/Accuracy
More Adaptive
Save Need of Human
Resource
No Sleep
Think Logically

16. CONS:
Robots Superseding
Humans
Unemployment
Cost incurred in
Management and
Repair
Abilities of Human
may diminish
Wrong Hands

17. CONCLUSION
Some AI experts predict that AI will be able to do anything
that humans can do but do it better. This is a questionable
assumption, but AI will surely surpass humans in specific
domains. A chess computer beating the world chess
champion was the first example.
If AI were to develop to the point that it can do everything
better than humans, it would mean that it would also do
better in science and technology. It may decide that it is
no longer worthwhile to develop a certain field of research
- or it may decide space travel is a waste of time as long as
humans on earth are living in poverty and more than a
billion people have no access to clear drinking water.