ARTIFICIAL INTELLIGENCE
Presented By: Harsha Varyani

Contents
■ Introduction to AI
■ History of AI
■ Types of AI
■ Agents in AI
■ Technologies in AI
■ Application of AI
■ Pros and Cons of AI
■ Future of AI
■ Conclusion

Introduction to AI
■ What is AI
■ Why AI is needed
■ How does AI react to different situations
■ Stages of AI development
– Computational intelligence
– Perceptual intelligence
– Cognitive intelligence
■ Languages in AI
– LISP, PROLOG, SmallTalk , R, Python, Many more…
■ Real world examples of AI

History of AI
■ Starting Period (1950’s to early 1960’s)
■ Rising Period ( in 1960’s)
■ Low Development Period (1970’s to 1980’s)
■ Steady Development Period(1980’s to 1990’s)
■ Booming Period(21st century )

Types of AI
Based on Ability
Based on
Functionality
■ Reactive Machine
■ Limited Memory
■ Theory of Mind
■ Self-Awareness
■ Narrow AI
■ General AI
■ Super AI

Types of AI – Based on Ability
■ Narrow AI: Narrow AI is a type of AI which is able to perform a dedicated task
with intelligence
– E.g. Siri, playing chess, speech recognition
■ General AI: General AI is a type of intelligence which could perform any
intellectual task with efficiency like a human.
– E.g. Iron man movie the robot suites that are fully capable of doing thing
that a human can do
■ Super AI: Super AI is a level of Intelligence of Systems at which machines could
surpass human intelligence, and can perform any task better than human with
cognitive properties.
We are
here

Types of AI – Based on functionality
■ Reactive machine: These machines only focus on current scenarios and
react on it. It doesn't stores memory or any past experience
– E.g. IBM deep blue system, Google Alpha Go system
■ Limited Memory : These machines can store past experiences or some
data for a short period of time.
– E.g. Self driving car
■ Theory of Mind: These machines can understand the human emotions,
people, beliefs, and be able to interact socially like humans.
■ Self Awareness: These machines will be super intelligent, and will have
their own consciousness, sentiments, and self-awareness.

Agents in AI
■ What is Agent in AI
– Runs through cycle of perceiving, thinking, and acting
■ Who can be agent
– Human-Agent
– Robotic Agent
– Software Agent
■ Basic terminology
– Sensors
– Actuator
– Effectors
precepts
Action
Sensors
Effectors

Agents in AI
■ How it works
– Structure of AI Agent: Agent = Architecture + Agent program
– AI Agent works on PEAS type of model
– P: Performance measure , E: Environment, A: Actuators, S: Sensors
■ Example of self driving car in PEAS model
– Performance: Safety, time, legal drive, comfort
– Environment: Roads, other vehicles, road signs
– Actuators: Steering, accelerator, brake, signal, horn
– Sensors: Camera, GPS, speedometer, sonar.

Key Technologies of AI
■ Computer Vision Technology
■ Machine Learning
■ Natural Learning Process(NLP)
■ Human Computer Interaction
■ Virtual Reality
■ Augmented Reality

Application of AI
■ Medical
■ Educational
■ Finance Field
■ Smart Home
■ Manufacturing
■ E-commerce
■ Gaming

Pros of AI
■ Reduction in human error
■ Zero risk
■ 24x7 availability
■ Digital assistance
■ Unbiased decisions

Cons of AI
■ High Costs
■ No creativity
■ Increase in unemployment
■ Makes humans lazy

Future of AI
■ Help us improve the cyber security
■ Helpful for day to day task
■ Transportations
■ Increase in speed of development

Conclusion
■ AI is being widely used in modern life style. This determines the AI
technology can also bring more changes to modern society
■ As of now the AI researches are quite small it has long way to go
■ The researcher are free to go forward with there own way because there
is no existing formalism in the field yet.
■ AI systems can bring an innovation to all problem solving processes and
increase their effectively.

THANK YOU
Any Question??

References
■ https://ieeexplore.ieee.org/document/9274952
■ https://ieeexplore.ieee.org/document/4804025
■ https://www2.deloitte.com/us/en/pages/consulting/articles/the-
future-of-ai.html
■ https://machinelearningmastery.com/natural-language-processing/
■ https://www.iberdrola.com/innovation/virtual-reality
■ https://www.cio.com/article/3235992/8-artificial-intelligence-
technologies-your-enterprise-needs-today.html
■ https://www.ibm.com/topics/computer-vision
■ https://www.mygreatlearning.com/blog/artificial-general-intelligence/