Introduction

"The science and engineering of making intelligent machines, especially intelligent computer programs" - John McCarthy (father of Artificial Intelligence).

- Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence.

- Examples of these tasks are visual perception, speech recognition, decision-making, and translation between languages.

Applications

• Natural Language Processing - understands natural language spoken by humans
• Expert Systems - provide explanation and advice to the users
• Gaming - e.g., chess, poker, tic-tac-toe
• Vision Systems - visual input on the computer
• Speech Recognition - hearing and comprehending the language
• Handwriting Recognition - recognize the shapes of the letters and convert it into editable text
• Intelligent Robots - perform the tasks given by a human

Real Examples

• Self Driving Cars
• Boston Dynamics
• Navigation Systems
• ASIMO
• Chatbots
• Human vs Computer Games

Future Examples

• Military Bots
• The perfect lawyer
• Music
• Business
• Healthcare

Benefit of reduce human casualties

• Wars
• Dangerous Workspaces
• Car Accidents
• Natural Disasters

Benefit of everyday life easier

• Cleaning
• Shopping
• Transportation

Level:

• A Machines with weak Artificial Intelligence are made to respond to specific situations, but can not think for themselves.
• A machine with strong Artificial Intelligence is able to think and act just like a human. It is able to learn from experiences.

Intelligent Systems

- The ability of a system to calculate, reason, perceive relationships and analogies, learn from experience, store and retrieve information from memory, solve problems, comprehend complex ideas, use natural language fluently, classify, generalize, and adapt new situations.

- Artificial Intelligence is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.

- Artificial Intelligence is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.