The groundbreaking Neural-Symbolic AI platform incorporates LLM components directly in the SPARQL along with vector generation and vector storage to create a comprehensive AI Knowledge Graph. It also ...

The Importance of Neuro-Symbolic AI In the rapidly evolving landscape of artificial intelligence and data analytics, the synergy between Knowledge Graphs and Large Language Models (LLMs) has emerged ...

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of graph database technology, is launching AllegroGraph Cloud, a hosted version of Franz's Neuro-Symbolic AI ...

For enterprise adoption to achieve its full potential, particularly in mission and safety-critical applications, several significant AI hurdles must be addressed.

And the new thing is called neurosymbolic AI, which its advocates say blends the strengths of today’s LLMs with the explainability and reliability of this older, symbolic approach.

Despite challenges in knowledge graph construction and noise management, integrating symbolic and neural methodologies promises a future of explainable, sophisticated language AI, unlocking ...

Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Graph Database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph 8.3, adding support for ...

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

Kaiasm Chief Scientist Liam McGee explains how knowledge graphs can create a Rosetta Stone to keep different groups on the same page to #acceleratetrust. This has important implications for all ...