Rezultati pretraživanja
  1. 3. velj
  2. 30. sij

    How neuro-symbolic AI might finally make machines reason like humans It combines the raw processing power of neural networks with human-like concept recognition.

  3. 27. sij

    my two cents on preprogrammed computing vs more bio-inspired evolving one (in the long run)

  4. 22. sij
  5. 16. sij

    and I showed that temporal (reasoning) and modal logics of knowledge can be effectively learned and represented in Neural Networks. We published several papers on this, e.g. at at

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  6. 14. sij

    From our paper published in Theoretical Computer Science w/ and DM Gabbay.

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  7. 13. sij

    Differentiable Reasoning on Large Knowledge Bases and Natural Language Minervini et al.: Open-source neuro-symbolic reasoning framework, in TensorFlow:

  8. 12. sij

    is the future of . Here’s how it works

  9. 7. sij
  10. 6. sij

    Why Neuro-Symbolic Artificial Intelligence Is The A.I. Of The Future | Digital Trends

  11. 5. sij

    The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision Mao et al.:

  12. 24. pro 2019.

    The problem is not new! I feel like the community deserves much more credit. They have been unifying logic reasoning and statistical ML for 3 decades now! Of course the and communities are also old and important!

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  13. 13. pro 2019.

    Congrats to our intern and all authors for the best paper award at KR2ML workshop , @PaulSmolensky

  14. 13. pro 2019.

    Paul Smolensky on leveraging neuro-symbolic representations to solve math and programming problems stated in natural language

  15. 9. pro 2019.

    It's the most wonderful time of the year. Impressive stuff from my colleagues at including the first class-wise rationalization method, visual question answering, active learning for , and more.

  16. 6. pro 2019.
  17. 27. kol 2019.

    The final program of our workshop on "Neuro-Symbolic Computation and Machine Common Sense" is up! See you @ MIT!

  18. 1. srp 2019.

    Extending upon this interesting article, I think KGs will play an increasing role in developing hybrid neuro-symbolic systems as well as explainable AI systems.

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