2. What is Artificial Intelligence?
• Artificial Intelligence (AI) is a broad branch of computer science,
aiming to create systems that can function intelligently and
independently just like humans
• AI is an imitation of human intelligence processes by machines
• AI was a term first coined at Dartmouth College in 1956. Cognitive
scientist Marvin Minsky
WHAT ARE EXAMPLES OF ARTIFICIAL INTELLIGENCE?
Siri, Alexa and other smart assistants
Self-driving cars
Robo-advisors
Conversational bots
Email spam filters
Netflix's recommendations
Artificial Intelligence:
Mimicking the intelligence or
behavioural pattern of humans
Machine Learning:
technique by which computer
learn from data without using a
complex set of different rules
Deep learning:
technique to perform
machine learning
inspired by our brain’s
own network of
neurons
3. Subfields of Artificial Intelligence
Speech Vision
Natural Language Processing
Machine Learning
Planning
Expert
System
Robotics
Deep
Learning Supervised
Un
supervised
Text
Generati
on
Question
Answering
Content
Extraction
Classifica
tion
Machine
Transacti
on
Image
Recognition
Machine
vision
AI
4. Reactive AI
• It perceives its situation directly
and acts on what it sees.
• It doesn't have a concept of the
wider world. It can't form
memories or draw on past
experiences to affect current
decisions. It specializes only in one
area.
• Examples:• IBM's Deep Blue which
beat Kasparov at chess• Google's
AlphaGo which triumphed over
human Go champions
Limited Memory
• Its considers pieces of past
information and add them
to its preprogrammed
representation of its world.
• It has just enough memory
to make proper decisions &
execute appropriate actions
• Examples: Self driving cars,
Chat bots, personal digital
assistant
Theory of mind
• It has the capacity to
understand thoughts &
emotions which affects
human behaviours
• It comprehends feelings,
motives and expectations
and can interact socially
has yet to be build.
• C-3P0 & R2-D2 from Star
wars universe, Sonny in the
film I robot
Self aware
• Extension of theory of
mind , they are aware
of their internal states
& can predict the
feelings of others, and
can make abstractions
& interferences.
Example Eva in the
2015 movie ex
machina, synths in the
2015 tv series Humans
TYPES OF AI
5. AI – Timeline
1950
TURNING TEST
Alen turning
proposes a test
for machine
intelligence
1955
A.I. BORN
Term artificial
intelligence
coined by John
McCarthy
1961
UNIMATE
First Industrial
Robot start
working at GM
1964
ELIZA
Chatbot by
joseph
weizenbaum
at MIT
1966
SHAKEY
1st mobile
robot by
stranford
shakey
A.I
WINTER
Many false
starts dead
ends leave
A.I out in the
cold
1997
DEEP BLUE
Chess playing
computer from
IBM defeated
Kasprov
1998
KISMET
Emotionally
intelligent robot
by Cynthia
Breazeal
1999
AIBO
Sony launches 1st
AI powered pet
dog
2002
ROOMBA
1st mass produced
autonomous
robotic vacuum
cleaner
2011
SIRI
Apples AI
powered
virtual
assistant
2011
WATSON
IBM’S question
answering
super
computer
2014
EUGENE
Judges believing
eugene a chatbot is
human
2016
TAY
Microsoft’s chatbot TAY
making racial comments in
social media
2017
ALPHAGO
Google A.I beats ke.
Jein in complex board
game
6. Where is AI used?
“ 2022
AI TRENDS”
AI in Retail
AI Mediated Media &
Entertainment
Aerospace & Flight
operation controlled by AI
Advanced Cybersecurity
Automated Business process
Robotic process automation
AI will make healthcare more
accurate
Data modelling will move
to the edge
AI will come to B2B
AI powered chatbots
7. AI in Retail
Demand forecasting & Merchandising
Automated inventory
Management
Instore visual monitoring &
Surveillance
Location based marketing
Programmatic
Advertising
8. AI in Healthcare system
Training
Keeping
well
Research
End of life
care
Treatment
Decision
Making
Diagnosis
Early
Detection
AI
in Health
Care
9. AI in Media & Entertainment
• Metadata Tagging
• Content Personalization
• Reporting Automation
• Subtitle Generation
• Detecting new threats
• Battling bots
• Breach Risk Prediction
• Better Endpoint protection
AI in Cybersecurity
10. AI in Data Modelling AI in Business process
• automatically analyze data and uncover hidden
trends, patterns, and insights
• Help employees make better-informed decisions
• AI automates report generation and
• makes data easy-to-understand by using
Natural Language Generation
• Redundant tasks automation
• Predictive analysis
• Cost-effective
• CX improvement
• Decision-making capabilities
16. Present & Future trends in AI
• The augmented workforce
• Bigger and better language modeling
release of GPT-3 by OpenAI, the most advanced (and largest) language
model ever created, consisting of around 175 billion “parameters”-
variables and datapoints that machines can use to process language
• AI in cybersecurity
• AI and the Metaverse
Mark Zuckerberg spoke about creating it by combing virtual reality
technology with the social foundations of his Facebook platform
• Low-code and no-code AI
17. Present & Future trends in AI
• Autonomous vehicles
Tesla says its cars will demonstrate full self-
driving capability by 2022,waymo, Apple, GM,
and Ford takes their next step
First autonomous ship crossing the Atlantic, as
the Mayflower Autonomous Ship (MAS),
powered by IBM
• Creative AI
• AI to tackle climate change
• AI emerging in Health care