Basics of AI
This term describes the ability of machines to simulate human-like intelligence.
Artificial Intelligence
This decade is considered the birth period of AI research.
1950s
This type of AI is task-specific and cannot generalize beyond its designed function.
Weak AI (Narrow AI)
This refers to the ability to learn, reason, and adapt to new situations.
Intelligence
This term emphasizes AI as a support system to enhance human decision-making, not replace it.
Augmented Intelligence
This describes how AI systems process data and learn from it over time.
Machine Learning
He developed the Turing Test to measure machine intelligence.
Alan Turing
This type of AI is theoretical and would perform any intellectual task like a human.
Strong AI (General AI)
These are the building blocks of intelligence, including reasoning, perception, and problem-solving
Components of Intelligence
This IBM-promoted concept combines AI, data, and human-like reasoning for complex problem-solving.
Cognitive Computing
This type of learning involves neural networks with multiple layers.
Deep Learning
This period saw reduced funding and interest in AI due to limited progress.
AI Winter
This AI type includes systems that learn from past experiences to make better decisions.
Limited Memory AI
One key difference between human and machine intelligence is humans possess this quality, while machines do not.
Consciousness (or Creativity/Emotions)
Unlike AI, which seeks to replace human effort, this type of intelligence focuses on human–machine collaboration.
Augmented Intelligence
This approach focuses on machines that can only react to specific inputs without memory.
Reactive Machines
Founder of the principle of AI
John McCarthy
This is the most advanced and hypothetical form of AI, where machines have self-awareness.
Self-Awareness AI
In AI, this term describes the entity that perceives its environment and acts upon it.
Agent
This is a subset of AI that focuses on pattern recognition and learning from data.
Machine Learning
This is one major disadvantage of AI related to employment and society.
Job Displacement (or Unemployment)
In 1997, this chess computer won against world Chess Champion Garri Kasparov
Deep Blue
This level of AI can understand human emotions and interact socially.
Theory of Mind AI
In AI terminology, this refers to everything an agent interacts with or perceives.
Environment
This comparison highlights the difference between machines processing data and humans applying wisdom.
Machine and Human Intelligence