2021年10月12日 · Neuro-symbolic AI. We see Neuro-symbolic AI as a pathway to achieve artificial general intelligence. By augmenting and combining the strengths of statistical AI, like …

Building on the foundations of deep learning and symbolic AI, we have developed technology that can answer complex questions with minimal domain-specific training. Initial results are very …

In this paper, we aim to understand the workload characteristics and potential architectures for neuro-symbolic AI. We first systematically categorize neuro-symbolic AI algorithms, and then …

2021年4月29日 · One promising approach towards this more general AI is in combining neural networks with symbolic AI. In our paper “Robust High-dimensional Memory-augmented Neural …

Symbolic AI, on the other hand, can recognize those attributes but does so at the expense of computationally expensive database searches. To address these two limitations, we propose a …

This workshop aims to provide a dedicated platform for researchers to present and share their cutting-edge advancements in the next generation of neuro-symbolic AI. By creating an …

2025年2月7日 · What’s Next in AI is foundation models at scale. AI is revolutionizing how business gets done, but popular models can be costly and are often proprietary. At IBM …

Symbolic AI focuses on solving cognitive problems, drawing upon the rich framework of symbolic computation to manipulate internal representations to perform reasoning and inference. But it …

Neuro-symbolic AI approaches display both perception and reasoning capabilities, but inherit the limitations of their individual deep learning and symbolic AI components. By combining neural …

As this strand of research is gaining traction, one of the central debates is whether end-to-end Machine Learning or symbolic AI approaches alone can lead to an effective AI model, or if …