AI (ARTIFICIAL INTELLEGENCY)

 

1. Definition

Artificial Intelligence (AI) is the simulation of human intelligence in machines that are programmed to think, learn, and make decisions like humans. Essentially, it allows computers and systems to perform tasks that normally require human intelligence.

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2. Core Capabilities of AI

AI can:

• Learn: Understand patterns from data (Machine Learning).

• Reason: Solve problems and make decisions logically.

• Perceive: Recognize images, speech, and other sensory inputs.

• Interact: Communicate in natural language or respond to humans.

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3. Types of AI

a. Based on Capability:

1. Narrow AI (Weak AI): Specialized in one task (e.g., voice assistants like Siri).

2. General AI (Strong AI): Hypothetical AI that can perform any intellectual task like humans.

3. Superintelligent AI: AI that surpasses human intelligence (theoretical).

b. Based on Functionality:

1. Reactive Machines: No memory, respond to current inputs (e.g., IBM’s Deep Blue).

2. Limited Memory: Uses past data for decisions (e.g., self-driving cars).

3. Theory of Mind (Advanced research): Understands human emotions and intentions.

4. Self-Aware AI (Futuristic): Conscious and aware of itself.

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4. Examples of AI in Daily Life

• Voice assistants: Alexa, Siri

• Recommendation systems: YouTube, Netflix, Amazon

• Chatbots: Customer service AI

• Self-driving cars: Tesla, Waymo

• Image recognition: Facebook tagging, medical imaging

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5. Benefits

• Increases efficiency and productivity

• Reduces human error

• Enables automation of repetitive tasks

• Supports complex decision-making

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6. Challenges

• Data privacy concerns

• Job displacement in some sectors

• Bias in AI decision-making

• Dependence on technology