MIT Introduction to Deep Learning 6.S191: Lecture 7
Neurosymbolic Hybrid Artificial Intelligence
Lecturer: David Cox
January 2020
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Lecture Outline
0:00 – Introduction
1:25 – Evolution of AI
7:32 – MIT-IBM Watson AI Lab
10:10 – Why is AI today “narrow”?
19:17 – Out-of-distribution performance
21:07 – ObjectNet
23:04 – Adversarial examples
25:24 – When does deep learning struggle?
27:00 – Neural networks vs symbolic AI
28:38 – Neurosymbolic AI
34:20 – Advantages of combining symbolic AI
39:01 – CLEVERER and more
40:40 – Summary
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