The document discusses the history, current status, challenges, and future of artificial intelligence (AI), defining it as the study of computer systems that simulate human intelligence. It highlights the contributions of early pioneers like Alan Turing and John McCarthy, the evolution of AI applications, and the challenges such as data storage issues and bias. Looking ahead, the document emphasizes the potential of AI in areas like self-driving cars and improved healthcare while also noting disadvantages such as unemployment and ethical concerns.

1. ARTIFICIAL
INTELLIGENCE
~ MIDHUN

2. AGENDA
EARLY
HISTORY
CHALLENGES
FOR AI
DEFINITION FUTURE OF AI
CURRENT
STATUS OF AI

3. DEFINITION
WHAT IS AI ?
The study of computer
systems that attempt to
model and apply the
intelligence of human
mind.
The capability of a
machine to imitate
intelligent human
behaviour.
A branch of computer
science dealing with the
simulation of intelligent
behaviour in computers.
1) 3)
2)

4. “THE MEASURE OF
INTELLIGENCE IS
THE ABILITY TO
CHANGE.”

5. EARLY
HISTORY
English mathematician
Alan Turing wrote a
landmark paper titled
“Computing Machinery
and Intelligence” that
asked the questions:
“Can machines think?”
1950
A workshop at Dartmouth
sponsored by John
McCarthy. In the
proposal for that
workshop, he coined the
phase a “Study of
Artificial Intelligence”
1956

6. CURRENT STATUS OF AI
AI have taken many shapes and
forms over recent years
 Mobile Phones
 Video Games C haracters
 GPS /Voice R ecognition
 R obotics
Google has been a major play on
AI transcendence and Deep
Learning.
o Deep learning is a machine
learning based on algorithms.
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100
200
300
400
500
600
700
1995 2000 2005 2010 2015
Startups Developing AI
Systems
Startups
Developing AI
Systems

7. CHALLENGES
The amount of power these power-
hungry algorithms use is a factor
keeping most developers away. They
require a supercomputer’s computing
power, and yes, supercomputers
aren’t cheap..
For example, let our model predict
whether the image is of a dog or a
cat. The human can predict the
correct output nearly every time,
mopping up a stunning accuracy of
above 99% .
Most AI applications make use of a
significant amount of data for
learning and making intelligent
decisions. The drawback of utilizing
large volumes of data is that it may
create a storage issue for businesses.
The companies now face the problem
of using local data for developing
applications for the world, and that
would result in bias. With biased
information, the entire system could
become flawed.
COMPUTING POWER HUMAN LEVEL
DATA SECURITY & STORAGE DATA SCARCITY

8. Beyond negotiation, Moore
says C MU is betting
several other AI areas are
going to be hugely
important in the near
future.
S elf Driving C ars.
Open up doors to future
explorations.
Improved Medical C are &
Treatment. E tc…
FUTURE OF AI

9. PYTHON
C++
JAVA
LIPS
PROGRAMMING LANGUAGES USED
PROLOG

10. Precision and Accuracy. C an do laborious tasks.
Function without stopping,
R isk R educing.
Fraud detection, manage
records.
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01
05
04
ADVANTAGES
There will be less injuries
and stress to human beings.
It can help improve our way
of life.
03 06

12. C ost incurred in the
maintenance and repair.
Wrong hands causes
destruction
Lack a creative mind R obots superseding humans.
02
01
05
04
DISADVANTAGES
Unemployment. Lack common sense
03 06

14. APPLICATIONS
GAME PLAYING
There is some AI in them and they Play well
against people.
SPEECH RECOGNITION
Instruct some computers using speech.
UNDERSTAND NATURAL LANGUAGE
The computer has to be provided with a
understanding of the domain the text is
about, and this is possible only in limited
domains.

15. AI IN DAILY LIFE
NAVIGATION APPS
3D PHOTOGRAPHY
FACIAL RECOGNITION
SMART ASSISTANCE
SPAM FILTERS
MEDIA RECOMMENDATIONS

16. AI APPS
Google Now, S iri and C ortana are
all intelligent digital personal
assistants on various
platforms(iOS , Android, and
Windows). In short, they find
useful information when we ask
for it using our voice. We can use
them to make calls, send
messages, set reminders, take
notes, recognize music, find great
restaurants, check your calendar,
and more.

17. CONCLUSION
F inally, 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.

18. “THE TRUE SIGN OF
INTELLIGENCE IS
NOT KNOWLEDGE
BUT IMAGINATION"

19. THANK YOU