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 ...

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 ...

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 ...

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

By incorporating advanced ontology and knowledge graph enrichment, App Orchid's enterprise text-to-SQL translation accuracy soared to 99.8%. This surpasses the previous benchmark of 91.2% ...

Noteworthy stories that might have slipped under the radar: several multi-million dollar settlements, CrowdStrike-themed phishing emails, and MITRE launches D3FEND 1.0. SecurityWeek’s cybersecurity ...

scCello enhances transcriptome foundation models (TFMs) by integrating cell ontology graphs into pre-training, addressing the limitation of treating cells as independent entities. By incorporating ...

It integrates knowledge graphs, ontology management, and state-of-the-art LLMs to deliver accurate, efficient, and customizable RAG workflows. Build, query, and manage knowledge graphs optimized for ...

Here, we present MorphDB, a resource where MORPH-based candidate genes for large-scale functional annotations (Gene Ontology, MapMan bins) are integrated across multiple plant species. Besides a gene ...