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- Introduction
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Classroom Contents
Neurosymbolic AI
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- 1 - Introduction
- 2 - Evolution of AI
- 3 - MIT-IBM Watson AI Lab
- 4 - Why is AI today "narrow"?
- 5 - Out-of-distribution performance
- 6 - ObjectNet
- 7 - Adversarial examples
- 8 - When does deep learning struggle?
- 9 - Neural networks vs symbolic AI
- 10 - Neurosymbolic AI
- 11 - Advantages of combining symbolic AI
- 12 - CLEVERER and more
- 13 - Summary