Introduction to Artificial Intelligence (AI)
Introduction to Artificial Intelligence (AI)
1. Definition of AI
Artificial Intelligence (AI) is a branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, perception, language understanding, and decision-making.
Key Definitions:
- John McCarthy (1956): "The science and engineering of making intelligent machines."
- Elaine Rich: "AI is the study of how to make computers do things at which, at the moment, humans are better."
2. History of AI
Timeline Overview:
1940s-50s (Foundations):
- Alan Turing proposed the concept of a "universal machine" (Turing Machine).
- 1950: Turing Test introduced in “Computing Machinery and Intelligence”.
1956 (Birth of AI):
- Dartmouth Conference – John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon formalized AI as a field.
1960s-70s:
- Early AI programs (e.g., ELIZA, SHRDLU).
- Success in problem solving and symbolic reasoning.
1980s:
- Rise of expert systems (e.g., MYCIN).
- AI Winter due to unmet expectations and funding cuts.
1990s-2000s:
- AI integrated into industrial applications.
- Notable milestones: IBM's Deep Blue beats Kasparov (1997).
2010s-present:
- Rapid advances due to big data, deep learning, and computational power.
- Milestones: Siri, AlphaGo, autonomous vehicles, ChatGPT.
3. AI vs Human Intelligence
| Aspect | Artificial Intelligence | Human Intelligence ||-------------|------------------------------|--------------------------|
| Nature | Artificial, machine-based | Biological, brain-based |
✅Explanation:
- AI is created and powered by computers and software, mimicking certain cognitive functions. It is man-made and entirely dependent on computational infrastructure.
- Human intelligence is a product of evolution and biology, emerging from the brain's complex neural structures. It’s organic, self-evolving, and shaped by genetics and environment.

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