Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

As innovation continues to outpace policy, law enforcement leaders face increasing pressure to establish clear guidelines ...

Growth hacking has evolved from viral loops and cold outreach to AI-powered Answer Engine Optimization (AEO). As Google launches AI search and businesses shift from traditional SEO to AEO, B2B SaaS ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Franz Inc., an industry leader in Neuro-Symbolic AI, and Rutgers University announced a multi-year research partnership to advance semantic data extraction and knowledge graph applications in ...

Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making ...

Knowledge representation and query answering constitute foundational elements in modern computational science, facilitating the transformation of raw data into structured, machine-interpretable ...

Abstract: Traffic scene perception underpins essential tasks like map construction and route planning in modern intelligent transportation systems, thus receiving extensive attention. However, ...

To address this problem, this paper adopts a top-down approach to construct a knowledge graph (KG) for research projects. Firstly, we construct an integrated ontology by referring to the metamodel of ...