Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

An evaporating colloidal particle–laden droplet leaves behind a ring-like residue after drying. We routinely observe this ubiquitous phenomenon for dried coffee drops; thus, it is known as the "coffee ...

The US has built three reactors in the past 30 years, but now Westinghouse says it will stand up 10 in partnership with ...

The agentic AI solution, known internally as Weave, launched alongside a model benchmarking tool called LLM-IQ. It was built from the ground up using data sourced from carriers and operators to create ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Learn when using entity-based SEO strategies can give you an edge – and how to implement them without wasting effort.

In this paper we have pursued the initial vertex partioning methodology for a graph (digraph) isomorphism testing problem using lexicographic ordering of vertex codes. The newly introduced vertex ...

Graph: In graph theory, a graph, represented as G = (V,E), consists of two distinct sets: the vertex set V(G) and the edge set E(G) . Bipartite graph: If the vertices in V(G) can be separated into two ...

Here, we introduce a genome assembly method, GTasm, based on graph transformer model and assembly graph. GTasm can score edges in an assembly graph to identify the optimal path for reconstructing the ...

Developers using Elasticsearch and Vertex AI can now store and use embeddings, refine retrieval to ground answers with proprietary data and more.