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Neurosymbolic AI

Alexander Amini and Massachusetts Institute of Technology via YouTube

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Overview

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This lecture examines the limitations of narrow and deep learning systems, including poor out-of-distribution performance and adversarial vulnerabilities. It introduces neurosymbolic AI as a hybrid approach that combines neural networks with symbolic reasoning, program execution, and planning.

Syllabus

- Introduction
- Evolution of AI
- MIT-IBM Watson AI Lab
- Why is AI today "narrow"?
- Out-of-distribution performance
- ObjectNet
- Adversarial examples
- When does deep learning struggle?
- Neural networks vs symbolic AI
- Neurosymbolic AI
- Advantages of combining symbolic AI
- CLEVERER and more
- Summary

Taught by

https://www.youtube.com/@AAmini/videos

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Reviews

4.0 rating, based on 2 Class Central reviews

Start your review of Neurosymbolic AI

  • Profile image for Taniya Mondal
    Taniya Mondal
    it's a great course. I'm currently studing on this fusion of neural network and symboic ai as neurosymbolic ai and this course is so good on as there explain very clearly about this topic.
  • Profile image for Romaim Victor Tshitumu
    Romaim Victor Tshitumu
    Conteúdo, prático, valioso. Com certeza vai ajudar-me a olhar IA de forma diferente e como uma ferramenta que veio revolucionar a tecnologia. Grato pela formação.
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