Page 22 - Ai Book - 8

K Keyey PPointsoints

u Artificial Intelligence (AI)
Making computers or robots think and act smart, like humans do.
u Goals of AI
AI aims to help us live easier lives and assist in making better decisions using computers.

u Humans vs AI
Humans learn through experience and feelings whereas AI learns using rules and data.

u Types of AI
The are three types of AI: Narrow AI does specific tasks, General AI learns and understands across different
areas, and Super AI surpasses human smarts.

u Areas of AI
AI uses Machine Learning to learn, Deep Learning for complex learning, and Robotics to build helpful
machines.
u AI Advantages
AI helps in healthcare for finding diseases, in online shopping for recommendations, and in games to play
smarter.

u AI Limitations
AI can’t feel emotions or learn like humans and needs lots of good data.

u AI Domains
AI works with Data science (like Google Maps), Computer Vision (sees and understands images), and Natural
Language Processing (understands how we talk or write).

u Machine Learning
A subset of AI involving algorithms that allow systems to learn and make predictions or decisions without
explicit programming.

u Deep Learning
A specialised form of machine learning that uses neural networks with multiple layers, often used for
complex tasks such as speech recognition and image processing.

u Robotics
AI-enabled robots can perform tasks or actions autonomously, such as industrial robots for manufacturing
or domestic robots like vacuum cleaners.
u Computer Vision
Teaches computers to interpret and understand visual information from the real world, used in applications
such as autonomous vehicles and facial recognition.

u Smart Home
A concept where AI is used to automate and enhance various functions within a home, such as security,
energy efficiency, and daily tasks.

u Artificial Narrow Intelligence (ANI)
ANI is designed for specific tasks, lacking generalization. Example: Virtual assistants like Siri or Alexa,
specialized in specific tasks.

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