Daffodil International University Presentation on Artificial Intelligence

1. AI
A R T I F I C I A L I N T E L L I G E N C E

2. Team Member
S H A H Z A D A M U R S H E D
T O U H I D U L I S L A M
R O N Y H A W L A D E R S O N I A A K T H E R
M I R A Z H O S S A I N

3. AI & IT’S HISTORY
Newton Raphson Method

4. Artificial Intelligence
What is AI?
the theory and development of computer
systems able to perform tasks normally
requiring human intelligence, such as visual
perception, speech recognition, decision-
making, and translation between languages.

5. John McCarthy the
founder of the discipline of Artificial
Intelligence
John McCarthy is one of the "founding
fathers" of artificial intelligence, together with
Marvin Minsky, Allen Newell and Herbert A.
Simon. McCarthy coined the term "artificial
intelligence" in 1955, and organized the
famous Dartmouth Conference in Summer
1956. This conference started AI as a field.

6. Evolution of AI
Artificial Intelligence — Human Intelligence Exhibited by Machines
On ’56 conference the AI pioneers was to construct complex machines that possessed the same characteristics
of human intelligence. This is the concept we think of as “General AI” — fabulous machines that have all our
senses. “Narrow AI” — technologies that are able to perform specific tasks as well as, or better than, we
humans can. The development of “Super AI” — will probably mark the pinnacle of AI research.

7. Machine Learning — An Approach to Achieve Artificial Intelligence
Machine learning at its most basic is the practice of using algorithms to parse
data, learn from it, and then make a determination or prediction about
something in the world.
Deep Learning — A Technique for Implementing Machine Learning
Another algorithmic approach from the early machine-learning crowd, artificial
neural networks, came and mostly went over the decades.
Picking images of cats out of YouTube videos was one of the first breakthrough
demonstrations of deep learning.
Detect spam message on email using machine learning
Analyzing object on video using deep learning

8. Alan Turing creates “Turing-Test” to
determine machine’s human ability
IBM DeepBlue defeats Garry
Kasparov at chess
Term “Artificial Intelligence”
coined at Darthmouth
IBM Watson defeats Ken
Jennings on jeopardy
Google brain develop 75%.
Identifying cats on youtube
Apple Introduces SIRI, voice assistant
Google open sources TensorFlow library
Google DeepMind’s AlphaGO
defeats Lee Sedol
Tesla introduces self driving car
Timeline of AI
2016
2016
2015
2014
2012
2011-2012
2011
1997
1956
1950
Facebook develops DeepFace

9. CURRENT STATUS OF AI
Newton Raphson Method

10. Gate allocation for plane while
landing.
Ticket price determination.
Aviation
Solving a variety of problems of
patients,
hospitals & healthcare industry.
Using Avatars in place of patients.
Health Care
Algorithmic Trading Market analysis
& data mining.
Personal Finance.
Portfolio management.
Finance

11. Widely used on automobile
industries.
Can do repetitive laborious tasks.
Heavy Industries
The robot rock climbers used for
space exploration.
performing complex surgeries such
as brain tumors.
Robotics
AI opponents in first-person
shooter games can listen for player
movements, look for footprints or
even take cover when a human
opponent fires on them.
Video Games

12. AI ON REAL LIFE
Newton Raphson Method

13. Self Driving Car
A self-driving car, also known as an autonomous vehicle, connected and autonomous vehicle,
driverless car or robotic car, is a vehicle that is capable of sensing its environment and moving
safely with little or no human input.
Self Driving Cars are capable of
• Navigate on Autopilot
• Auto park
• Auto Lane Change
• Summon
Source: Tesla

14. Computer Vision
The science of allowing computers to see. This technology captures and analyzes visual information using a
camera, analog-to-digital conversion and digital signal processing. It is often compared to human eyesight,
but machine vision isn't bound by biology and can be programmed to see through walls, for example. It is
used in a range of applications from signature identification to medical image analysis. Computer vision,
which is focused on machine-based image processing, is often conflated with computer vision.
Many social network like Facebook, Instagram, pinterest uses computer vision.
Source: Facebook AI

15. SOPHIA, AI ROBOT
The robot was built to mimic social behaviors
and inspire feelings of love and compassion in
humans.
Deep neural networks let the robot discern
someone's emotions from their tone of voice
and facial expression and react in kind. Sophia
also can mirror people's postures, and her
code generates realistic facial movements.
Sophia has own emotions too, roughly
simulating human evolutionary psychology
and various regions of the brain.
Source: Hanson Robotics

16. Running Wild for Nature
Conservation
Wildbook, an AI-powered software developed
by researchers, is helping the Kenyan
government track zebra movement to save
them from extinction.
Source: Nvidia, Wildbook

17. ADVANTAGE-DISADVANTAGE
& FUTURE OF AI
Newton Raphson Method

18. Reduces human involvement in selected jobs
Greatest advantage in the medical field
Faster and minimal or no errors
Decision making cannot be influenced
Advantages
Newton Raphson Method

19. Cannot fully replace humans
Costs involved is too much
Creates unemployment in
certain sectors
Can do more bad than good
Disadvantages
Newton Raphson Method

20. Improved speech, voice, image ,video recognition
will change the way interact with our devices
More and more systems will run autonomously to a point
Personal assistants will become more personal
and context aware
What Will The Next Decade Bring?
Newton Raphson Method
The positive impact AI research can have on humanity will start
to be across many walks of life - much of it behind the scenes

21. THANKS
EVERYONE