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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines. These machines are programmed to think, learn, and make decisions — mimicking the cognitive functions of the human brain.
AI systems can perform tasks like:
Recognizing speech
Understanding natural language
Making predictions
Playing games
Analyzing massive data sets
AI is now embedded in everything from smartphones to self-driving cars.
There are different levels of AI based on capability:
Performs specific tasks
Most current AI systems fall into this category
Examples: Siri, Google Search, Chatbots
Can understand and reason like a human
Still under development and research
Surpasses human intelligence
Theoretical stage, involves ethical debates
A subset of AI where systems learn from data and improve over time without being explicitly programmed.
A form of ML that uses neural networks with many layers, ideal for image recognition, speech, and natural language tasks.
Allows machines to understand and respond to human language (used in chatbots, translation tools, and AI assistants).
Enables AI to interpret and analyze visual data from the world, like detecting objects in images or video.
AI is reshaping multiple industries. Here are some examples:
Healthcare – Diagnosing diseases, drug discovery, robotic surgery
Finance – Fraud detection, trading algorithms, risk assessment
Retail – Personalized recommendations, inventory forecasting
Manufacturing – Predictive maintenance, quality control
Education – Intelligent tutoring systems, personalized learning
Marketing – Customer segmentation, content gener
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