Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.

IEEE Trans. Circuits Syst. II Express Briefs(2024)

引用 0|浏览19
暂无评分
摘要
The rapid progress of artificial intelligence (AI) has led to the emergence of a highly promising field known as neuro-symbolic (NeSy) computing. This approach combines the strengths of neural networks, which excel at data-driven learning, with the reasoning capabilities of symbolic AI. Neuro-symbolic models have the potential to overcome the limitations of each approach individually, resulting in interpretable and explainable AI systems that can reason over complex knowledge bases, learn from limited and/or noisy data, and be generalizable. However, the exploration of NeSy AI from a system perspective remains limited. This paper provides an in-depth analysis of the state-ofthe-art hardware-software co-design techniques for NeSy AI and discusses the associated challenges in improving system efficiency for heterogeneous computing. By examining the intersection of NeSy computing and system design, we aim to bridge the gap and foster advancements in this domain.
更多
查看译文
关键词
Neuro-symbolic,Hardware-Software Co-Design,Compositionality,Reasoning,Generalization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要