Artificial Intelligence Foundations: Thinking Machines

Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Introduction

• Welcome

1. What Is Artificial Intelligence?

• Define general intelligence
• The history of AI
• Strong vs. weak AI
• Plan AI

2. The Rise of Machine Learning

• Machine learning
• Artificial neural networks
• Perceptrons

3. Finding the Right Approach

• Match patterns
• Data vs. reasoning
• Unsupervised learning
• Backpropagation
• Regression

4. Common AI Programs

• Robotics
• Natural language processing
• The Internet of Things

5. Mixing with Other Technologies

• Big data
• Data science

6. What Has Changed?

• Generative AI
• Foundation models
• Self-supervised learning

7. Avoiding Pitfalls

• Pitfalls

Conclusion

• Next steps