Non-Euclidean space is proposed as a more efficient representation space than Euclidean space for handling non-linear problems in neuro-symbolic AI, such as complex relationships, graph-structured data, and timing dependencies.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (1)

• Neuro-symbolic artificial intelligence concept