- Term Artificial Intelligence (AI) was first coined by, John McCarthy in 1956.
- Artificial Intelligence is the creation of machines to impersonate the human capabilities.
- AI systems have been used for creating solutions for individuals and society.
- Main areas where AI has made the most possible advancements are:
- To see
- To communicate
- To move
- To think
Areas where AI is used
- Music and Media: Apps like Spotify, Netflix, or YouTube.
- Smart Home Devices: To adjust the house temperature and lighting based on the preferences.
- Smart phones: Features like face detection, virtual reality elements, photo editor.
- Social Media Feeds: Feeds that you see in your timeline along with the notifications.
- Video Games: Game such as PUBG or Fortnite.
- Navigation and Travel: Google Maps.
- Security and Surveillance: Object recognition and facial recognition.
Gamification
Gamification is the process of adding the game-like
components to a task as to encourage the user participation.
Natural Language Processing
Technology with which the machine understands the human
language and then perform an action based on the command.
Computer Vision
Computer Vision is
concerned with both the theory and technology for building up an Artificial
system which obtain information from images.
Smart Home
A home which one can managed remotely to control the appliances
such as TV, AC, fridge with smartphone.
Google Home
A smart speaker which is a Google device and can be
integrated with the automation to control home appliances with voice
recognition by using internet.
Smart City
Smart City is an urban city which uses Internet of
Things (IoT) to collect the data and information to improve the quality of
government services easily and effectively.
AI Ethics
AI Ethics is the study of values and
generating moral values for good or bad, right or wrong.
Robot ethics/ Roboethics
Robot ethics can be defined as the Morality
of how humans’ constructs, design, use and treat the robots and the other
artificially intelligent created beings.
Machine Learning bias/ AI bias
A phenomenon which
occurs when an algorithm produces a discriminatory result due to incorrect
assumptions.