With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key ...

Most document retrieval in GenAI is based on semantic similarity, but this approach falls short in a few ways when analyzing clinical texts.

App Orchid partners with Google Cloud to revolutionize enterprise data access using Gemini AI models and knowledge graphs, achieving 99.8% accuracy in natural language queries while reducing data ...

As I wrote last time: Ontology is essentially the use of something called a knowledge graph, which is a series of connections between different disparate data points so that large language models ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

Oxytocin receptor (Oxtr) signaling influences complex social behaviors in diverse species, including social monogamy in prairie voles. How Oxtr regulates specific components of social attachment ...

Proven experience in ontology development using BFO and CCO or similar ontological ... Proficiency in Python, SQL, and other programming languages used for data engineering. Experience with graph ...

The extracted attributes contribute to a hierarchical knowledge graph, called defect ontology, to characterize multiple aspects of manufacturing defects. The proposed algorithm takes the defect images ...