what is artificial intelligence
I. Introduction
- Definition of artificial intelligence
- Brief history of AI
- Applications of AI
II. Types of AI
- Reactive machines
- Limited memory
- Theory of mind
- Self-aware AI
III. How AI Works
- Data collection and preprocessing
- Training models
- Testing and deployment
IV. Machine Learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
V. Neural Networks
- Introduction to neurons
- Layers and activation functions
- Convolutional neural networks
- Recurrent neural networks
VI. Natural Language Processing
- Understanding language
- Text processing
- Sentiment analysis
- Language generation
VII. Robotics
- Applications of robotics
- Designing robots
- Robot learning and adaptation
- Ethics of robotics
VIII. Limitations and Future of AI
- Current limitations
- Ethical concerns
- Future possibilities
IX. Conclusion
- Recap of main points
- Importance of AI in the modern world
- Encouragement for students to learn more about AI