INTRODUCTION TO AI ( ARTIFICIAL INTELLIGENCE )
Artificial Intelligence (AI) is a branch of computer science that aims to create machines capable of performing tasks that typically require human intelligence. These tasks include:
1. **Learning**: Acquiring information and rules for using it.
2. **Reasoning**: Using rules to reach approximate or definite conclusions.
3. **Problem-solving**: Identifying solutions to complex problems.
4. **Perception**: Interpreting sensory inputs to understand the environment.
5. **Language Understanding**: Processing and responding to human languages.
AI can be classified into different types:
1. **Narrow AI** (or Weak AI): Designed and trained for a specific task, such as voice recognition or image classification.
2. **General AI** (or Strong AI): A theoretical type of AI that possesses the ability to understand, learn, and apply intelligence across a broad range of tasks, similar to human intelligence.
3. **Superintelligent AI**: A hypothetical future AI that surpasses human intelligence in all aspects, from creativity to problem-solving.
Key technologies and methodologies in AI include:
- **Machine Learning (ML)**: A subset of AI that enables systems to learn from data and improve performance over time without being explicitly programmed.
- **Deep Learning**: A type of machine learning that uses neural networks with many layers to analyze various factors of data.
- **Natural Language Processing (NLP)**: Techniques for understanding and generating human language.
- **Computer Vision**: Techniques for interpreting and making decisions based on visual data from the world.
AI is used in various applications, such as virtual assistants (e.g., Siri, Alexa), autonomous vehicles, medical diagnosis, fraud detection, and personalized recommendations on platforms like Netflix and Amazon.
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