3. What is Artificial Intelligence?
It is the science and engineering of making intelligent
machines, especially intelligent computer programs.
Its core idea is building machines and algorithms which are
capable of performing computational tasks that would
otherwise require human like brain functions.
SIRI TESLA
GOOGLE
ASSISTANT
5. ARTIFICIAL INTELLIGENCE IN OUR DAILY LIFE
Artificial intelligence has a wide range of
applications in our daily lives. Artificial intelligence
has simplified our lives by saving our time, money,
and energy.
Smart Phone Camera:- Camera’s in our
smartphone uses highly powered AI algorithm to
detect our face and background, to provide us
with best possible pictures.
Weather Forecasting Apps:- Weather apps use
AI to analyse the large amount of previous and
current data to predict the weather conditions of
our area and provide us with best possible
forecast.
6. AI IN OUR DAILY LIFE
OLA/UBER:- In these apps AI helps to determine the shortest
possible way to pickup customer’s and to charge higher fares
during peak(Rush) hours.
Google Maps:- In Google maps AI provides us with route
maps, estimated travel time, and real time traffic conditions.
Social Media:- Apps such as FACEBOOK, INSTAGRAM uses
AI to automatically tag your friends in photos and show friend
suggestions from your nearby areas.
7. AI IN OUR DAILY LIFE
Surveillance Cameras:- Surveillance Cameras uses AI for
Facial Recognition, Motion detection and Weapons Detection
for security purposes.
E-Commerce Websites:- Websites such as Amazon, Flipkart,
Myntra etc uses AI to show personalized products and
recommendations base on our search history.
OTT Apps:- In apps such as Netflix, Amazon-video etc AI
recommends movies and shows on these platforms with the
help of our previous watch history.
8. ACTIVITY
Let’s play TIC TAC TOE with the Artificial Intelligence
Click here to start- TIC-TAC-TOE
9. FUTURE OF ARTIFICIAL INTELLIGENCE
AI will change the way we live and work.
For example, now we can schedule the robotic
vacuum cleaner to clean the floor and thereby we
can save some time and energy. Using Artificial
intelligence, the robotic vacuum cleaner avoids
colliding into obstacles and cleans the surface
effectively.
10. FUTURE OF ARTIFICIAL INTELLIGENCE
Driverless vehicles will reduce the burden of driving
for us and will most likely reduce the probability of
vehicular accidents by eliminating the chance of
human error.
For example, Waymo (Google’s Self Driving Car), Tesla,
Audi Delphi, Chevrolet Volt.
11. ADVANTAGES OF AI
24/7 Availability : Machines don’t require frequent
breaks and refreshments as like human beings.
Medical Application : One of the great advantages of
Artificial Intelligence is utilized in the field of
medicine.
Reduction of Error : The advantage of using
Artificial Intelligence is, it helps us for error
reduction and increasing the chance of reaching
higher accuracy with a greater degree of precision.
12. DIS-ADVANTAGES OF AI
High Cost of Implementation : Setting up AI-based
machines, computers, etc. entails huge costs given
the complexity of engineering that goes into building
one.
Risk of Unemployment : A study states that
automation will displace between 400 to 800 million
jobs by 2030.
Lacks Creativity : AIs are not built for creative
pieces of work. So, it should be crystal clear by now
that creativity or imagination is not the forte of the
AIs
13. 3 DOMAINS OF ARTIFICIAL INTELLIGENCE
NATURAL LANGUAGE
PROCESSING
COMPUTER
VISION
DATA COLLECTION
FOR AI
14. NATURAL LANGUAGE PROCESSING
Natural language processing strives to build
machines that understand and respond to text
or voice data and respond with text or speech
of their own in much the same way humans do.
15. ACTIVITY
In order to understand the Natural Language Processing lets do an activity:-
Open Google Assistant or Siri on your smartphones.
Ask these questions to Google Assistant or Siri:-
(i) Hey! Google/Siri how are you today?
(ii) Hey! Google/Siri what’s the date today?
(iii) Hey! Google/Siri how’s the weather today?
16. COMPUTER VISION
Computer vision is a field of artificial intelligence
(AI) that enables computers and systems to derive
meaningful information from digital images, videos
and other visual inputs and take actions or make
recommendations based on that information.
17. ACTIVITY
In order to understand the Computer vision
lets do an activity:-
Open Google lens app on your smartphones.
Take picture of any object that you would
like to get recommendations for such as
mouse, Pen, T-shirts, Chairs, Cups, jackets,
Tea, Food etc.
18. DATA COLLECTION FOR AI
Data collection is the process of gathering and
measuring information from countless different
sources. It can be in the form of text, pictures,
audio, video, numbers, graphs etc.
19. AI PROJECT CYCLE
Project Cycle is an appropriate framework which
can lead us towards developing an AI Project.
This can be done using a series of steps that can
be described using the Life Cycle of AI.
AI
PROJECT
CYCLE
1.PROBLEM
SCOPING
2. DATA
ACQUISITION
3. DATA
EXPLORATION
4. MODELLING
5.EVALUATION
20. PROBLEM SCOPING
The problem scoping refers to the identification of
a problem and the vision to solve it.
The 4Ws are very helpful in problem scoping. They are:
1.Who? – who is facing a problem and who are the stakeholders of
the problem
2.What? – what is the problem and how you know about the problem
3.Where? – It is related to the context or situation or location of the
problem
4.Why? – why we need to solve the problem and what are the
benefits to the stakeholders after solving the problem
21. DATA ACQUISITION
The stage of acquiring data from the relevant sources
is known as data acquisition.
Types of data that can be acquired:-
1. Numeric Data
2. Text Data
3. Structured Data
4. Unstructured Data
5. Semi-structured Data
6. Time Stamped Data
7. Machine Data
8. Open Data
9. Real Time Data
22. ACTIVITY
Open Google Chrome in your smartphones.
Type Quick Draw and press Enter.
Open first link-
https://quickdraw.withgoogle.com/data
Click on Data set link shown in yellow colour.
Data set having millions
of pictures of different
objects collected from
users playing Quick draw
game.
23. DATA EXPLORATION
Data exploration is
the initial step in data
analysis, where users
explore a large data set
in an unstructured way
to uncover initial
patterns, characteristics,
and points of interest.
24. MODELLING
Modelling is the process in which different models
based on the visualized data can be created and
even checked for the advantages and
disadvantages of the model.
25. EVALUATION
Evaluation is basically to check the performance of
your AI model. It involves collecting and analysing
information about a program’s activities,
characteristics, and outcomes.
27. WHAT WE LEARNT FROM THIS VIDEO?
AI will make our homes smart and intelligent by :-
Wirelessly connecting electronic devices with each other in our
homes and personalizing them for us.
Providing us with smart security features for our homes.
Recommending us programs or movies as per our watch history.
Tracking and taking deliveries of our ordered items.
Scheduling and reminding us about the upcoming events on our
calendar.
28. All of our lives are impacted by AI on a daily basis at every
level. Artificial Intelligence became the most important part of
our daily life.
Our life is changed by AI because this technology is used in a
wide area of day to day services.
This is proof enough that AI is indeed transforming our
lives by allowing us to be more productive to focus on real
life challenges.
