This document discusses artificial intelligence and its types and applications. It defines AI as creating intelligent machines that work like humans through activities such as speech recognition, learning, planning, and problem solving. The main types of AI discussed are reactive machines with no memory, machines with limited memory that use past experiences, theory of mind machines that can socialize and understand emotions, and future self-aware super intelligent machines. Machine learning and deep learning are discussed as applications of AI that look for patterns in data. Several applications of current and future AI are outlined such as self-driving cars, digital assistants, and uses in healthcare, marketing, banking, retail, and law.

1. Artificial Intelligence

2. Artificial Intelligence
 Artificial intelligence (AI) is an area of computer science that emphasizes the creation of
intelligent machines that work and react like humans.
 Some of the activities computers with artificial intelligence are designed for include:
 Speech recognition
 Learning
 Planning
 Problem solving

4. Types of Artificial
Intelligence

5. Types of AI
1. Reactive Machines
 Its the one which don’t store memories or
past experiences. It acts directly for what it
sees.
Examples : Chess, Google’s AlphaGo
2. Limited Memory
 This kind of AI uses to the past experience
and the present data to make decision.
Examples : Driverless Cars, Apple Siri

6. Types of AI
3. Theory of Mind
 These AI can socialize and understand
thoughts and emotions which affect human
behaviour.
4. Self Aware Machines
 An extension of Theory of Mind.
 They are the future generations of
machines: super intelligent, conscious and
sentient.

8. Machine Learning
 Machine Learning is an application of AI that provides systems the ability to automatically
learn and improve from experience without being explicitly programmed.
 Looking for patterns in vast amounts of data that is just too big for humans to analyze

9. Deep Learning
 Deep Learning is an artificial intelligence function that imitates the workings of the human brain in
processing data and creating patterns for use in decision making.

10. 1. Automatic Colorization of Black and White Images

11. 2. Object Classification and Detection in Photographs

12. 3. Automatic Image Caption Generation

13. 4. Automatically create stylized images from rough sketches

14. 4. Instant Visual Translation

15.  more powerful and more useful computers
 new and improved interfaces
 solving new problems
 better handling of information
 relieves information overload
 conversion of information into knowledge
 increased costs
 difficulty with software development - slow
and expensive
 few experienced programmers
 few practical products have reached the
market as yet.

16.  Self-Driving And Parking Vehicles
 Digital Assistants
 Vehicle Recognition Identification
 Robots
 Transportation

17. Applications of AI
 Healthcare
 Marketing & Advertising
 Banking & Finance
 Retail & Customer Service
 LAW