"AI. Complete: Human-Level Machine Intelligence"
- 8 days ago
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Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include problem-solving, understanding natural language, recognizing patterns, learning from experience, and making decisions. AI aims to create systems capable of performing complex tasks with autonomy and adaptability.
AI is broadly classified into two types:
Narrow AI (Weak AI): Designed to handle a specific task or a narrow range of tasks. Examples include virtual personal assistants (like Siri or Alexa), recommendation systems, and facial recognition software.
General AI (Strong AI): Hypothetical AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, much like a human being. General AI remains largely theoretical and is a major goal for future AI research.
Key techniques in AI include:
Machine Learning (ML): A subset of AI focused on developing algorithms that allow computers to learn from and make predictions or decisions based on data.
Deep Learning: A subset of ML that uses neural networks with many layers (deep neural networks) to analyze various factors of data.
Natural Language Processing (NLP): Enables machines to understand and respond to human language.
Computer Vision: Allows machines to interpret and make decisions based on visual inputs from the environment.
Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include problem-solving, understanding natural language, recognizing patterns, learning from experience, and making decisions. AI aims to create systems capable of performing complex tasks with autonomy and adaptability.
AI is broadly classified into two types:
Narrow AI (Weak AI): Designed to handle a specific task or a narrow range of tasks. Examples include virtual personal assistants (like Siri or Alexa), recommendation systems, and facial recognition software.
General AI (Strong AI): Hypothetical AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, much like a human being. General AI remains largely theoretical and is a major goal for future AI research.
Key techniques in AI include:
Machine Learning (ML): A subset of AI focused on developing algorithms that allow computers to learn from and make predictions or decisions based on data.
Deep Learning: A subset of ML that uses neural networks with many layers (deep neural networks) to analyze various factors of data.
Natural Language Processing (NLP): Enables machines to understand and respond to human language.
Computer Vision: Allows machines to interpret and make decisions based on visual inputs from the environment.