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 ...

This innovative approach sets a new benchmark in intelligent computing, ensuring AI reasoning is both contextually relevant and factually accurate. By leveraging Knowledge Graphs, AllegroGraph ...

Enterprise knowledge graphs— domain knowledge repositories containing ideal machine learning training data—furnish the knowledge base for maximum productivity of total AI. Symbolic reasoning ...

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 ...

Knowledge graphs, the 20-year old hype, ... The semantic web was created by Sir Tim Berners Lee to bring symbolic AI approaches to the web: Distributed, decentralized, and at scale.

Symbolic AI’s adherents say it more closely follows the logic of biological intelligence because it analyzes symbols, ... says Jans Aasman, CEO of knowledge graph solutions provider Franz Inc.

AI chips, MLOps, and ethics. Knowledge, and Graphs. COVID-19 as a mixed bag for technological progress and adoption ...

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

But knowledge graphs are also more and more identified as the building blocks of an AI strategy that enables explainable AI through the design principle called human-in-the-loop (HITL).

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