AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
This article explains how ontology-based semantic layers work and advocates for their use as versatile enterprise tools. They add shared meaning, context, and governance to data, improving integration, analytics, oversight, and AI reliability across organizational systems.
We present an AI-assisted framework that uses LLMs to map unstructured organizational communications to a domain-specific metamodel and corresponding enterprise process activities. By linking messages to affected and dependent processes, the framework supports real-time situational awareness and proactive risk identifi...
This lesson introduces Wikidata and its underlying data structure. It shows how to navigate and query Wikidata using the Query Builder and SPARQL, and how its data model can be used to explore historical data.
We present a disjunctive Datalog encoding of the problem of query entailment over RDFS knowledge graphs under the metamodeling semantics.
This article examines an approach to formalizing the description of intelligent transportation systems (ITS) based on semantic modeling, including the concept of cooperative intelligent transportation systems and the "vehicular cloud".
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
