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Lecture 1: Introduction to AI
- Historical context: Expert systems -> machine learning -> deep learning
- What is AI? Deep learning? Neural Networks?
- What makes AI useful in engineering: automation, prediction, anomaly detection
- Types of engineering problems where ai is superior.
- Application:
- Predictive maintenance
- Quality control
- CFD/FEA surrogate models
- Limitations, misconceptions and ethical considerations
- Short demo: Show a simple trained model making prediction (linear regression)
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