Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950

1. Artificial Intelligence
Presenter
NALINI M
Technical Specialist
IBM India Pvt., Chennai.

2. Strong AI
Narrow AI
What is AI
• Artificial intelligence means creating computing systems that have
the ability to perform tasks like humans or even better than
humans.
• It is a field of computer science that develops machines or
software having human intelligence such as speech recognition,
decision making, and translation abilities.
Doesn’t have any intelligence or self awareness.
Limited perspectives and learnings.
Dedicated for a task
Machine think like a human by its own.
Currently there is no system exists
Lot of research going on this area.
Source: https://mapr.com
C a t e g o r i e s o f A I
Super AI Under Research Nick Bostrom describes it, this is “an intellect that is much smarter than the best
human brains in practically every field, including scientific creativity, general
wisdom, and social skills.”

3. • Astronomy
• Healthcare
• Transport
• Agriculture
• Education
• E-Commerce
• Entertainment
• Robotics
• Automotive
• Social Media
• Data Security
• Finance
• Gaming
A I A p p l i c a t i o n s
AI Ap p li cati ons and Focu s Are as
• General Intelligence
• Knowledge
• Motion and Manipulation
• Natural Language Processing
• Perception
• Planning
• Reasoning and Problem Solving
Fo c u s A r e a o f A I

4. 1940
Modern
Computer
1950
Statistics &
Machine Learning
1956
Artificial
Intelligence
1960 - 1970
NLP
Computer
Vision
Robotics
1990-2000
Data
Mining
Data
Science
2010-Now
Deep
Learning
Cognitive
Computing
1943 – Evolution of
Artificial
Intelligence
1950 – Invention of
Turing machine
1956 - Coinage of the
word Artificial Intelligence
1964 - First ChatBot
ELIZA
1997 -IBM Deep Blue
to beat World chess
champion.
2011 – IBM Watson won
Jeopardy
2012 - Launch of Google
Now
2018 – Virtual Assistant Era
Artificial Intelligence Timeline

5. Turing Test
• The Turing Test, named for the British
mathematician Alan Turing.
• It is designed to check whether the machine can
think like human.
• Eugene Goostman, which simulates a 13-year-old
Ukrainian boy, is said to have passed the Turing
test
• It is a method of inquiry in artificial intelligence (AI)
for determining whether or not a computer is
capable of thinking like a human being.
Turing Test may hold great possibilities of measuring general intelligence, but scientific
community focuses more on objective ways to measure AI in very specific settings, such
as computer vision tasks, voice recognition and so forth

6. 6
What is AI, ML, DL & Cognitive Computing
Cognitive Computing
This is a new type of computing with the goal of
more accurate models of how the human brain/mind
senses, reasons and responds. Mimics the
functioning of human brain and helps to improve
human decision making
ML
AI
DL

7. 7
Cognitive computing (CC)
Simulation of human thought processes in a computer model.
Interactive decision making and reasoning on deep domain
models
Using self-learning algorithms that use data mining, pattern
recognition and natural language processing.
The computer can mimic the way the human brain works.
Using Artificial Intelligence and Machine learning tools.

8. UNDERSTAND
• Ability to understand structured
and unstructured data
• Text Based or Sensory Based
Context and Meaning 8
Watson – An IBM Cognitive Platform
REASON
• Ability to form hypothesis
• Prioritize recommendations
• Helps human to take better
decisions
LEARN
• Accumulate and ingest data and
insight from all interactions
• Trained not programmed, by
experts to enhance, scale and
accelerate their expertise
Domains & Solutions
• Vision
• Text to Speech
• Video
• Chatbot
• Translation
• Healthcare
• Clinical Trials
• Genomic
• Oncology
• Drug Discovery
• Many More…
I am a Giant Server 

9. Watson APIs & AI Capabilities

10. Where do I start?
https://developer.ibm.com/technologies/artificial-intelligence/gettingstarted/
https://www.ibm.com/services/learning/ZAOBIUFZBM2RQD4U
https://ai.google/education/
https://www.coursera.org/learn/machine-learning
https://www.classcentral.com/course/independent-fundamentals-of-deep-learning-for-computer-vision-10730
https://www.kaggle.com/
https://www.research.ibm.com/artificial-intelligence/
https://www.ibm.org/activities/tjbot
https://plato.stanford.edu/entries/turing-test/
https://aiforgood.itu.int/
10
• Pick any problem you want the solution (e.g. climate change, covid19)
• Find the easy solution to the problem using simple models
• Try to improve your solution model
• Using this experience participate Kaggle competition or hackathons.
• Follow your passion!
References>>

11. Q & A
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