Presented in the webinar New Directions in AI

1. A Look Into Artificial
Intelligence
By Farha Rashid Sayed

2. What Is AI?
Simulation of human
intelligence in machines
Machines can be
programmed to think like
humans and mimic their
actions
There are multiple types of
artificial intelligence.

3. Features of AI
Machines with artificial intelligence possess many human-like
skills such as:
Planning
Learning
Reasoning
Problem solving
Knowledge representation
Perception
Motion
Manipulation
Social intelligence
Creativity

4. HOW DOES AI WORK?

5. Machine Learning
Machine learning is the study of computer
algorithms that improve automatically through
experience and by the use of data. It is seen as a
part of artificial intelligence.

6. Deep Learning
Deep learning is a function of AI that mimics the
working of the human brain to process data. It
creates patterns for use in decision making,
similar to the pattern followed by our brain’s
neural system. Therefore, it’s also called deep
neural learning or deep neural network.

7. MACHINE LEARNING
VS DEEP LEARNING

8. Big Data
Big Data is a collection of data that is
huge in volume yet growing
exponentially with time.
It is a data with so large size and
complexity that none of traditional
data management tools can store it or
process it efficiently.
The ability to store such complex and
large volumes of data or to process
and analyze it is in demand today.

9. AI can now
understand things
we

10. Speech Recognition
When computers can understand a human through audio
detection.
Google Assistant Alexa
Siri

11. Natural Language
Processing
When computers can detect
the thoughts of humans
through written text and can
process it as a human would.

12. Computer Vision
When the computer can ‘look’ at things like a human and process
what it ‘sees’.
Driverless Cars
Google Image Search Mask Detection

13. Watson
• IBM created a supercomputer
that combines AI and
analytical software.
• Watson can use machine
learning to answer your
questions and will let you
learn more with fewer data.
• Its based on cognitive
computing – mixture of
techniques like natural
language processing, machine
learning, ai, reasoning

16. Sofia
• A social humanoid bot developed by Hanson
Robotics
• First activated in early 2016
• Modeled after the Egyptian Queen Nefertiti, Audrey
Hepburn and her inventor’s wife, Amanda Hanson
• She has so many human-like features
• Sofia can use her eyes to scan her environment or
“see”
• She can also show many human emotions on her
face

18. Affective
Computing
This is the creation and development of
devices that can recognize and deeply
comprehend human effects.
The field is a blend of computer science,
psychology and cognitive science.
It includes both detecting and
recognizing emotional information as
well as machines themselves possessing
the ability to exhibit emotional
capabilities.

24. AI STILL LACKS BROAD INTELLIGENCE

25. Problems
- Ethical Challenges
- Possibility of Biases
- Misuse – there are no present laws to prevent this
- Cannot perform one-shot learning
- Unable to use the information it acquired while learning a
skill to learn a new skill
- Doesn’t work well with abstract concepts

26. “It’s not whether you adopt AI. It’s when.”